Systems and methods for tailoring an evidence based therapy curriculum

Abstract

Described herein are methods, systems, and techniques for tailoring an Evidence based therapy (EBT) curriculum, said system comprising: one or more processors configured to receive demographic and psychological information of a user; a machine learning algorithm trained to analyze the received information and generate a series of tool kits forming a tailored curriculum based on the user's specific therapeutic needs and understanding of psychological principles; high-value items selected to reinforce self-worth and act as learning artifacts; and a series of educational materials configured to guide the user in understanding foundational principles of Evidence based therapy (EBT) and engage in therapeutic activities; wherein the generated series of tool kits are delivered over an extended period to provide an ongoing, adaptive, and sequential user support.

Description

WSGR Attorney Docket No. 69178-701.601SYSTEMS AND METHODS FOR TAILORING AN EVIDENCE BASED THERAPY CURRICULUMCROSS-REFERENCE

[0001] This application claims the benefit of U.S. Provisional Application No. 63 / 692,576 filed September 9, 2024 and U.S. Provisional Application No. 63 / 709,338 filed October 18, 2024, which applications are incorporated herein by reference.BACKGROUND

[0002] Mental health issues, such as depression and anxiety, are on the rise globally. While evidence-based treatments like Evidence-Based Therapy (EBT) and bibliotherapy are effective, many individuals face barriers such as stigma, cost, and accessibility that prevent them from seeking help. Additionally, maintaining patient engagement with digital therapeutic tools can be challenging. App-based mental health solutions, for example, experience a churn rate of over 96% within the first 30 days, indicating difficulties in sustaining user participation. These challenges impact the overall effectiveness of mental health interventions, highlighting engagement and retention as key areas of concern.SUMMARY

[0003] Provided herein are systems and methods configured to facilitate evidence-based therapy through innovative, self-directed tools that enhance mental health outcomes. Unlike traditional systems and methods, the systems and methods of the present disclosure integrate a wide range of therapeutic principles, including concepts from behavioral economics, cognitive science, bibliotherapy, kinesthetic learning, and other evidence-based practices. These systems and methods may also incorporate both physical and digital content, ensuring a comprehensive and interactive learning experience. In some embodiments, the systems and methods may employ AI / ML technology to detect and address cognitive distortions in real time, while improving user engagement and retention. In some embodiments, the systems and methods disclosed herein may combine personalized, culturally relevant materials with adaptive learning approaches, to increase accessibility and provide flexible, self-paced therapy options.

[0004] In some embodiments, the systems, and methods of the present disclosure for facilitating evidence-based therapy in online writing include components configured to detect and flag cognitive distortions in real time. In some cases, these components may provide users with feedback to help reframe their thoughts during digital communication across various platforms.

[0005] In some embodiments, the present disclosure may provide systems and methods for facilitating evidence-based therapy in a digital journaling platform, including tools utilizingWSGR Attorney Docket No. 69178-701.601 cognitive distortion detection mechanisms, offering real-time analysis of entries, and providing reframing strategies to support therapeutic outcomes.

[0006] In some embodiments, the systems and methods of the present disclosure may also include an evidence based therapy tool kit, comprising both physical and digital materials for identifying and addressing cognitive distortions. In some cases, the systems and methods of the present disclosure may provide a method for tailoring the curriculum based on individual factors such as age, gender identity, and personal circumstances, ensuring the therapy remains relevant and effective for diverse users.

[0007] Additionally, the systems and methods of the present disclosure may provide cognitive distortion analysis during conversations include a voice-to-text platform for real-time transcription and analysis. In some embodiments, the system and methods may provide users with immediate feedback on cognitive distortions within spoken communication, along with suggestions for reframing.

[0008] In some embodiments, the systems and methods disclosed herein may deliver flexible, customizable tools for evidence-based therapy, incorporating both physical and digital content alongside cognitive distortion detection across various digital and interactive platforms to enhance therapeutic engagement and outcomes.

[0009] In one aspect, disclosed herein is a system for tailoring an Evidence-Based Therapy (EBT) curriculum, the system comprising: one or more processors configured to receive demographic and psychological information of a user; a machine learning algorithm trained to analyze the received information and generate a series of tool kits forming a tailored curriculum based on the user's specific therapeutic needs and understanding of psychological principles; high-value items selected to reinforce self-worth and act as learning artifacts; and a series of educational materials configured to guide the user in understanding foundational principles of Evidence-Based Therapy (EBT) and engage in therapeutic activities; wherein the generated series of tool kits are delivered over an extended period to provide an ongoing, adaptive, and sequential user support.

[0010] In one aspect, provided herein are systems for tailoring an evidence-based therapy curriculum comprises receiving, by a processor, user-specific information that includes demographic and psychological information of a user; analyzing, by a machine learning algorithm, said user-specific information to generate a tailored curriculum, wherein said tailored curriculum comprises one or more physical components based at least in part on said userspecific information. In some embodiments, generating said tailored curriculum further comprises selecting culturally relevant items configured to enhance user engagement and selfworth. In some embodiments, the system further comprises administering a user-friendly survey,WSGR Attorney Docket No. 69178-701.601 wherein said user-specific information comprises one or more of the user's survey answers and writing, and wherein said machine learning algorithm determines one or more aspects of the user's existing knowledge of psychology. In some embodiments, predefined intervals for delivering said tailored curriculum are determined based on the user’s therapeutic progress or updated user-specific information. In some embodiments, said one or more physical components of the tailored curriculum further comprise a digital access code configured to access online resources. In some embodiments, said online resources comprise tutorials or interactive content that deliver information on evidence-based therapies. In some embodiments, said online tutorial provides background on the basics of one or more of evidence-based therapy and bibliotherapy, and / or incorporates a kinesthetic learning activity. In some embodiments, said one or more physical components of the tailored curriculum further comprise a physical booklet. In some embodiments, said physical booklet comprises instructions for engaging with said curriculum. In some embodiments, said instructions are configured for social engagement. In some embodiments, said one or more physical components further comprise therapeutic gear tailored based on said user-specific information. In some embodiments, said tailored curriculum is dynamically updated through a recurring analysis of user-specific information. In some embodiments, said recurring analysis of said user-specific information is performed in real-time and continuously over a duration of a user interaction with said tailored curriculum. In some embodiments, said tailored curriculum is dynamically updated based on newly received demographic and psychological information of said user, triggering said machine learning algorithm to continuously evolve said tailored curriculum in response to changes in said userspecific data. In some embodiments, generating said tailored curriculum further comprises integrating one or more elements of an Economic Decision-Making Model tailored based on said user-specific information. In some embodiments, said risk-based decision model comprises one or more elements of decision-making under uncertainty, probabilistic alternatives, risk considerations, the use of heuristics, and the influence of mental shortcuts on systematic biases in judgment and decision-making. In some embodiments, said risk-based decision model comprises Economic Decision-Making Model. In some embodiments, one or more physical components further comprise adaptive sports equipment or tools tailored to accommodate various accessibility requirements and compliance standards. In some embodiments, said accessibility standards comprise compliance with various national and international accessibility regulations, including ADA standards, to accommodate users with diverse physical and cognitive needs. In some embodiments, one or more physical components further comprise one or more of the following: personalized instructional materials, customized workbooks, interactive content, specialized activity guides, individualized learning plans, customized visualWSGR Attorney Docket No. 69178-701.601 aids, and tailored audio content. In some embodiments, said tailored curriculum further comprises one or more kinesthetic learning elements. In some embodiments, said one or more kinesthetic learning elements comprise physical objects configured to represent cognitive distortions and counteracting strategies, and / or role-playing exercises and simulations configured to facilitate hands-on understanding and practice of techniques for addressing cognitive distortions. In some embodiments, generating said tailored curriculum further comprises creating a serialized program configured to promote long-term behavioral modification and therapeutic outcomes. In some embodiments, said serialized program is delivered over an extended period with calculated phases or stages, strategically planned and indicated to track progress and facilitate gradual and sustained therapeutic improvement. In some embodiments, said serialized program is configured for delivery to the user on a weekly, bi-weekly, monthly, bi-monthly, quarterly, semi-annual, annual basis, or at intervals in between these time periods. In some embodiments, said serialized program comprises one or more tool kits. In some embodiments, said one or more tool kits comprise one or more of the following: digital components, physical instructional materials, customized worksheets, interactive digital content, activity guides, a personalized learning plan, visual aids, or audio content. In some embodiments, said one or more tool kits are updated by one or more of the following methods: sending additional physical components, automatically updating digital components via an online platform, adjusting content based on user feedback and progress through machine learning algorithms, providing electronic updates, or delivering new materials digitally through email, mobile applications, or other electronic communication channels. In some embodiments, at least one subsequent delivery of said one or more tool kits comprises updated educational materials and items tailored to the user's specific therapeutic needs and understanding of psychological principles. In some embodiments, said one or more physical components comprise one or more user guides for executing evidence-based therapy activities. In some embodiments, said one or more physical components further comprise one or more elements of bibliotherapy. In some embodiments, said one or more elements of bibliotherapy are configured to provide therapeutic content that supports users in the identification, comprehension, and management of cognitive distortions for improved mental health outcomes, said elements comprising one or more of the following: curated reading materials, therapeutic stories or narratives, interactive workbooks, guided self-reflection exercises, metaphorical stories, evidence-based literature, including evidence-based therapy (EBT) principles, personalized reading recommendations, and user-specific journaling prompts to facilitate emotional processing and cognitive restructuring. In some embodiments, an evidence based therapy tool kit comprises a receiver configured to receive a communication made by or to a user; a cognitiveWSGR Attorney Docket No. 69178-701.601 distortion treatment mechanism configured to receive a cognitive distortion and provide a cognitive distortion treatment; an algorithm in communication with said receiver and cognitive distortion treatment mechanism, said algorithm configured to interpret said communication; determine a presence of at least one indicator of the cognitive distortion from said communication; predict a cognitive distortion modality based on the at least one indicator; and output a signal indicating the cognitive distortion to said cognitive distortion treatment mechanism. In some embodiments, the cognitive distortion treatment comprises one or more of the following: reframing treatment, wherein the user is guided through a process of identifying and reinterpreting negative or distorted thoughts to view them from a more balanced or realistic perspective, including one or more of identifying automatic negative thoughts, challenging these thoughts, and providing alternative, rational interpretations; restructuring treatment, wherein the user identifies and modifies core beliefs and thought patterns that contribute to cognitive distortions through one or more of cognitive restructuring exercises, thought records, and guided reflection to uncover underlying assumptions; or additional cognitive behavioral interventions, including one or more of behavioral activation, exposure therapy, and problem-solving techniques, aimed at addressing both cognitive and behavioral aspects of cognitive distortions. In some embodiments, the cognitive distortion treatment mechanism is configured to provide bibliotherapy, said bibliotherapy comprising one or more of the following: curated reading materials tailored to the user’s specific cognitive distortions and therapeutic needs, therapeutic narratives or stories that exemplify techniques for managing cognitive distortions, interactive workbooks that guide users through exercises to identify and address cognitive distortions, metaphorical stories or fables that illustrate complex psychological concepts in an accessible way, self-reflection prompts that encourage the user to introspect on their thought patterns and emotional responses, evidence-based literature covering evidence based therapy principles, personalized reading recommendations based on the user’s therapeutic progress, journaling prompts that help the user track their cognitive and emotional experiences, and supplementary multimedia content, including one or more of audio material, video material, or other formats that enhance the user’s understanding and application of bibliotherapy techniques. In some embodiments, the cognitive distortion treatment mechanism is configured to incorporate one or more Economic Decision-Making Models or economic models, said models comprising one or more of the following: Economic Decision-Making Model, Expected Utility Theory, Cost- Benefit Analysis, Behavioral Economics principles, Heuristics and Biases, and models related to decision-making under uncertainty, with the goal of helping the user recognize and modify cognitive distortions related to risk perception, probability assessment, and decision-making behaviors. In some embodiments, the cognitive distortion treatment mechanism is configured toWSGR Attorney Docket No. 69178-701.601 incorporate kinesthetic learning elements, said kinesthetic learning comprising one or more of the following: physical objects or tools configured to symbolize cognitive distortions and their counteracting strategies, role-playing exercises to simulate real-life scenarios, hands-on activities that facilitate experiential learning, physical exercises or movements aimed at reinforcing therapeutic concepts, and interactive tasks that engage the user in active problemsolving and cognitive restructuring through physical engagement.

[0011] In another aspect, provided herein are systems for facilitating evidence-based therapy in a digital journaling platform comprises a text input interface configured to receive journaling entries from a user; a processor configured to execute a machine learning algorithm, wherein said machine learning algorithm is trained to identify patterns in said journaling entries based on evidence-based therapeutic principles; a detection module, controlled by said processor, configured to identify cognitive distortions or other therapeutic targets in real-time within the text input by the user; an indicator configured to flag sentences and clauses within said text that contain potential therapeutic targets based on evidence-based therapy principles; and a suggestion module configured to generate and provide recommendations to the user for reframing or addressing said flagged cognitive distortions. In some embodiments, said recommendations are displayed on a user interface, and wherein said text input interface, processor, detection module, indicator, and suggestion module are communicatively connected and configured to operate cooperatively to enhance the user's self-awareness and application of evidence-based therapy techniques. In some embodiments, said system is further configured to receive and analyze the user's journal entries in real-time. In some embodiments, the machine learning algorithm is further configured to provide immediate, objective feedback on the identified cognitive distortions in the user's journal entries, facilitating emotional regulation and self-reflection, and assisting in eliminating impulsive thoughts and destructive ruminative thought patterns. In some embodiments, said machine learning algorithm is configured to instantly identify cognitive distortions in the user's journal entries and suggest reframes to the user, helping the user correct distorted thoughts before they solidify. In some embodiments, said machine learning algorithm uses supervised learning mechanisms to perform real-time identification and flagging of cognitive distortions in the user's writing. In some embodiments, said machine learning algorithm employs Natural Language Processing (NLP) techniques to analyze the user's written text and recognize one or more of the following cognitive distortions: all-or-nothing thinking, overgeneralization, mental filtering, labeling, discounting the positive, personalization, self-blame, “should” statements, emotional reasoning, jumping to conclusions, magnification, minimization, and catastrophizing. In some embodiments, upon detecting cognitive distortions, said machine learning algorithm uses rule-based Al techniques to flag theWSGR Attorney Docket No. 69178-701.601 identified distortions and provides context-specific suggestions for refraining the thoughts in a more logical and helpful manner. In some embodiments, the rule-based Al techniques draw on a predefined knowledge base or rule set to guide the generation of context-specific suggestions, thereby facilitating cognitive restructuring, a key component of Evidence-Based Therapy (EBT). In some embodiments, a voice-to-text integration feature employs automatic speech recognition (ASR) technology to convert spoken words into written text for subsequent analysis by said machine learning algorithm. In some embodiments, the voice-to-text feature permits users to receive real-time feedback on their spoken thoughts, with the system applying the same Al and machine learning-based cognitive distortion detection techniques to the transcribed speech as it applies to written text. In some embodiments, the voice-to-text feature ensures the tool kit's accessibility and versatility for a wider range of users, including those who find verbal articulation more comfortable, those with different learning preferences, or users with disabilities that make writing challenging.

[0012] In yet another aspect, provided herein are systems for facilitating evidence-based therapy in online writing comprises a text evaluation module configured as a plugin integrated into one or more writing platforms, including but not limited to email and social media platforms; a processor equipped with a machine learning algorithm trained to identify cognitive distortions in text based on evidence-based therapeutic principles; a real-time detection feature, controlled by the processor, configured to flag instances of cognitive distortions as the user inputs text across the integrated platforms; a distortion analysis feature configured to count the number of flagged cognitive distortions and assess the overall tone of the text; a send-control interface that introduces an additional step before sending the text, wherein said send-control interface provides a summary of detected cognitive distortions and the assessed tone, and requires the user to manually confirm sending of the text; and a user interface configured to display the summary of detected cognitive distortions and the assessed tone before the text is sent. In some embodiments, the text evaluation module, processor, real-time detection feature, distortion analysis feature, send-control interface, and user interface are communicatively linked and operate cooperatively to enhance the user's awareness of cognitive distortions and regulate online text communication in alignment with evidence-based therapy techniques. In some embodiments, the cognitive distortion treatment mechanism incorporates a real-time text analysis feature, which utilizes Natural Language Processing (NLP) and machine learning algorithms to analyze the user's text as it is being typed in various writing platforms. In some embodiments, the system incorporates a real-time text analysis feature, which utilizes Natural Language Processing (NLP) and machine learning algorithms to analyze the user's text as it is being typed in various writing platforms and identify potential cognitive distortions. In someWSGR Attorney Docket No. 69178-701.601 embodiments, the real-time text analysis feature uses pattern recognition and semantic analysis to flag potential cognitive distortions, including one or more of the following: emotional reasoning, personalization, or "should" statements in the user's text. In some embodiments, the real-time text analysis feature further employs sentiment analysis algorithms to assess the tone of the message, categorizing it as aggressive, passive, or neutral based on linguistic cues. In some embodiments, the real-time text analysis feature provides immediate feedback to the user by displaying the number and types of distortions identified, along with a brief assessment of the overall tone, through user-friendly interfaces, including one or more of the following: highlights, pop-ups, or sidebars. In some embodiments, the immediate feedback from the real-time text analysis feature is configured to encourage users to pause and reconsider their message before sending, incorporating delay mechanisms or prompts to disrupt impulsive behavior and reduce the likelihood of sending emotionally charged content. In some embodiments, the real-time text analysis feature incorporates an interruption mechanism that requires an additional step before sending any flagged message. In some embodiments, after the analysis of the text, the interruption mechanism prompts the user with a summary of identified distortions and asks them to confirm whether they wish to send the message as is or adjust. In some embodiments, said interruption mechanism is configured as a "second thought" mechanism based on behavioral science principles, encouraging brief pauses in habitual actions to support long-term behavior modification. In some embodiments, said interruption mechanism, by consistently prompting users to reconsider their words before sending, instills a habit of reflection and self-regulation in users. In some embodiments, said interruption mechanism incorporates a learning feature that adapts over time based on user interactions. In some embodiments, said learning feature provides increasingly personalized feedback based on the user's writing style and typical cognitive distortions identified. In some embodiments, the adaptability of said learning feature ensures that the effectiveness of cognitive distortion detection improves with use, tailoring its interventions to the specific needs and patterns of the individual user. In some embodiments, the continuous learning process of said learning feature helps users become more aware of their cognitive distortions, leading to improved communication habits and a reduction in impulsive behavior.

[0013] In yet another aspect, provided herein systems for promoting evidence-based therapy in the evaluation of online articles and websites comprises an evaluation module implemented as a plugin configured to detect cognitive distortions in online articles or websites based on evidence-based therapeutic principles; a processor equipped with a machine learning algorithm trained to identify cognitive distortions in text based on said evidence-based therapeutic principles; a real-time detection feature, controlled by said processor, configured to flagWSGR Attorney Docket No. 69178-701.601 instances of cognitive distortions as the user reads content on the online articles or websites; an objectivity assessment feature configured to provide a scaled rating system for the objectivity of the content, said rating being based on the frequency and severity of the flagged cognitive distortions; and a user interface configured to display the flagged cognitive distortions and the scaled objectivity rating to the user without altering the original text of the online articles or websites. In some embodiments, the evaluation module, processor, real-time detection feature, objectivity assessment feature, and user interface are communicatively interconnected and operate cooperatively to enhance the user's ability to critically evaluate online content through the lens of evidence-based therapy techniques. In some embodiments, further comprising a content evaluation feature configured to enhance the user's critical thinking skills while consuming online content, such as news articles, blogs, and other websites. In some embodiments, said content evaluation feature helps users identify potential cognitive distortions and biases present in the online content they consume. In some embodiments, said content evaluation feature encourages users to approach content consumption more analytically, thereby aiding in the critical evaluation of the credibility and objectivity of online content in an era of rampant misinformation and disinformation. In some embodiments, said content evaluation feature provides alerts about potential cognitive distortions and biases present in the content, without altering or censoring the content, encouraging a more analytical approach to content consumption. In some embodiments, said content evaluation feature leverages behavioral research findings indicating that awareness of potential misinformation or disinformation significantly increases a reader's critical thinking skills. In some embodiments, said content evaluation feature provides real-time alerts to the user when it detects that a piece of content may contain misleading information, prompting deeper analysis, questioning of the validity of the information, and seeking out additional sources to confirm the content's accuracy. In some embodiments, the real-time alerts generated by said content evaluation feature highlight potential biases and distortions in the online content, prompting users to engage more critically with the content without directly altering the content itself. In some embodiments, said content evaluation feature operates in a non-intrusive manner, maintaining the original content while flagging areas of the text that may contain cognitive distortions or biased language. In some embodiments, said content evaluation feature uses a scaled rating system to assess the overall objectivity of the content, providing a score that indicates the likelihood of the content being balanced or biased. In some embodiments, said non-intrusive evaluation approach respects the reader's autonomy, allowing users to make informed decisions based on the flagged content, rather than imposing changes or restricting access to the online content they consume, thereby enhancing user autonomy and engagement with digital content. In some embodiments, saidWSGR Attorney Docket No. 69178-701.601 content evaluation feature enhances users' critical thinking abilities by encouraging thoughtful engagement with online content through an additional layer of analysis. In some embodiments, users learn to recognize common distortions and biases, such as confirmation bias, selective omission, or emotionally charged language, through continuous interaction with said content evaluation feature. In some embodiments, as users continue to interact with said content evaluation feature, they develop a stronger ability to discern credible information from biased or misleading content, a skill that is increasingly valuable in today's information-rich environment. In some embodiments, said content evaluation feature employs a scalable rating system to assess the objectivity of the online content without altering the original text. In some embodiments, said scalable rating system provides an intuitive measure for users, indicating where the content falls on a spectrum from highly objective to potentially biased. In some embodiments, users can interact with said scalable rating system to receive a breakdown of the factors contributing to the objectivity score, including the presence of cognitive distortions, the use of emotionally charged language, or the lack of supporting evidence for claims made in the content. In some embodiments, said content evaluation feature includes an educational component that provides explanations of the different types of cognitive distortions and biases it flags in the online content. In some embodiments, said educational component helps users understand why certain parts of the content are considered problematic, thereby increasing awareness of cognitive distortions and biases. In some embodiments, said educational component increases awareness and empowers users to apply these critical thinking skills in other areas of their life beyond online content consumption.

[0014] In yet another aspect, provided herein are systems for cognitive distortion analysis during conversations comprises a voice input interface configured to receive spoken content from a user; a voice-to-text conversion module configured to transcribe the received spoken content into text; a processor equipped with a machine learning algorithm trained to identify cognitive distortions in the transcribed text; a real-time detection feature, controlled by the processor, configured to flag instances of cognitive distortions within the transcribed text; a suggestion module configured to generate and provide suggestions for reframing flagged cognitive distortions, said suggestions being developed with the support of a trained clinician; and a user interface configured to display the transcribed text, flagged cognitive distortions, and reframing suggestions to the user, wherein the voice input interface, voice-to-text conversion module, processor, real-time detection feature, suggestion module, and user interface are communicatively linked and operate cooperatively to facilitate the analysis and correction of cognitive distortions during spoken conversations, thereby serving as a voice-to-text version of a cognitive distortion prevention platform. In some embodiments, a voice analysis feature isWSGR Attorney Docket No. 69178-701.601 configured to function as a "clinical companion" for therapists and coaches by providing realtime or near real-time transcription and analysis of spoken conversations. In some embodiments, the voice analysis feature flags cognitive distortions in spoken conversations as they occur, ensuring none are missed and permitting more effective interventions. In some embodiments, the voice analysis feature uses automatic speech recognition (ASR) technology for real-time or near real-time transcription of spoken conversations. In some embodiments, the transcriptions are analyzed by the machine learning algorithm to identify and flag cognitive distortions. In some embodiments, the voice analysis feature is particularly valuable in clinical and coaching contexts where recognizing and addressing cognitive distortions is critical. In some embodiments, the voice analysis feature provides insights on where cognitive distortions were spoken during a session, serving as an essential tool for therapists. In some embodiments, the voice analysis feature provides automated analysis that augments, rather than replaces, the clinician’s role, permitting personalized care. In some embodiments, the voice analysis feature highlights areas of concern in the spoken conversation, allowing therapists to focus on the most critical aspects of the session, thereby enhancing their ability to interpret and respond to distortions effectively. In some embodiments, the insights provided by the voice analysis feature streamline the therapeutic process, potentially reducing the number of sessions required to achieve meaningful progress and allowing therapists to focus their efforts where they are most needed. In some embodiments, the voice analysis feature aids in identifying patients who may not require intensive clinical intervention but could still benefit from some level of cognitive- behavioral support, contributing to the efficiency and accessibility of cognitive-behavioral therapy. In some embodiments, the voice analysis feature permits therapists to triage patients more effectively, reducing the strain on clinical resources. In some embodiments, patients requiring full clinical intervention can be prioritized, while others can be directed towards coaching or less intensive forms of support based on the insights provided by the voice analysis feature. In some embodiments, the ability of the voice analysis feature to effectively triage patients helps reduce the queue of patients waiting for therapy, ensuring that those who need it most receive timely care, while others receive appropriate alternative interventions. In some embodiments, the voice analysis feature is applicable in both clinical and coaching environments, providing support in recognizing and overcoming cognitive distortions. In some embodiments, in coaching environments, the voice analysis feature aids personal development and the achievement of specific goals, rather than focusing on treating mental illness. In some embodiments, coaches use the voice analysis feature to help clients recognize and overcome cognitive distortions that may be hindering their progress. In some embodiments, the real-time feedback provided by the voice analysis feature enhances the coaching experience and facilitatesWSGR Attorney Docket No. 69178-701.601 quicker and more sustained behavior change. In some embodiments, the voice analysis feature uses automatic speech recognition (ASR) technology to convert spoken words into text in realtime or near real-time. In some embodiments, the transcriptions of spoken words are then analyzed for cognitive distortions using the machine learning algorithm. In some embodiments, both the therapist and the patient receive immediate feedback based on the analysis of the transcriptions of the spoken words. In some embodiments, the instant analysis and feedback provided by the voice analysis feature directly enhance the effectiveness of the treatment by allowing real-time identification and correction of cognitive distortions during conversation. In some embodiments, the voice analysis feature provides a detailed analysis of the session’s conversation, helping therapists focus on the most important issues. In some embodiments, by focusing on the most important issues identified by the voice analysis feature, the overall number of therapy sessions needed may be reduced, making therapy more efficient. In some embodiments, the increased efficiency of therapy sessions makes therapy more accessible to a larger number of patients. In some embodiments, the voice analysis feature’s ability to pinpoint specific moments of distortion in the conversation allows therapists to address issues more directly and effectively, ensuring each session is as productive as possible.BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The novel features of the disclosure are set forth with particularity in the appended claims. A better understanding of the features and advantages of the present disclosure will be obtained by reference to the following detailed description that sets forth illustrative embodiments, in which the principles of the disclosure are utilized, and the accompanying drawings of which:

[0016] FIG. 1 shows an example of a system configured for personalized, self-directed, selfpaced preventative training in evidence-based therapy, in accordance with some embodiments.

[0017] FIG. 2 shows an example of content that may be provided within a system for selfdirected, evidence-based therapy, in accordance with some embodiments.

[0018] FIG. 3 shows an example of a system for delivering sequential training in evidencebased therapy, in accordance with some embodiments.

[0019] FIG. 4 shows an example of a system for evaluating content in an online environment, in accordance with some embodiments.

[0020] FIG. 5. shows an example of a system for analyzing symptoms related to evidence-based therapy using voice-to-text technology, in accordance with some embodiments.

[0021] FIG. 6 shows an example of a system for delivering evidence-based therapy, in accordance with some embodiments.WSGR Attorney Docket No. 69178-701.601

[0022] FIG. 7 shows an example of a system for facilitating evidence-based therapy through a digital platform, in accordance with some embodiments.

[0023] FIG. 8 shows an example of a system for facilitating evidence-based therapy in an online environment, in accordance with some embodiments.

[0024] FIG. 9 shows a non-limiting example of a computing device implementing methods and systems herein, in accordance with some embodiments.

[0025] FIG. 10 to FIG. 59 illustrate various examples of tool kits, in accordance with some embodiments.DETAILED DESCRIPTION

[0026] Recognized herein is a heightened need for engaging and personalized methods of administering Evidence-Based Therapy (EBT) to address mental health issues. Unlike traditional systems and methods, the systems and methods provided herein may comprise an integrated approach that merges bibliotherapy, kinesthetic learning, and Economic Decision-Making Model in a customized manner, significantly enhancing patient engagement and treatment efficacy. With this approach, not only are therapy concepts more effectively understood and implemented, but the therapy itself becomes highly individualized, accommodating for unique patient circumstances and their existing understanding of psychological principles. The deployment of this systems and methods disclosed herein may revolutionize mental health treatment, making it more accessible and effective while contributing to a broader societal impact on mental wellbeing.

[0027] Described herein, in certain embodiments, are methods, systems, and techniques for tailoring an Evidence-Based Therapy (EBT) curriculum, the system comprising: one or more processors configured to receive demographic and psychological information of a user; a machine learning algorithm trained to analyze the received information and generate a series of tool kits forming a tailored curriculum based on the user's specific therapeutic needs and understanding of psychological principles; high-value items selected to reinforce self-worth and act as learning artifacts; and a series of educational materials configured to guide the user in understanding foundational principles of Evidence-Based Therapy (EBT) and engage in therapeutic activities; wherein the generated series of tool kits are delivered over an extended period to provide an ongoing, adaptive, and sequential user support.Terms and Definitions

[0028] Unless otherwise defined, all technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.WSGR Attorney Docket No. 69178-701.601

[0029] As used herein, the singular forms “a,” “an,” and “the” include plural references unless the context clearly dictates otherwise. Any reference to “or” herein is intended to encompass “and / or” unless otherwise stated.

[0030] As used herein, the term “about” in some cases refers to an amount that is approximately the stated amount, in some cases near the stated amount by 10%, 5%, or 1%, including increments therein, and in some cases, in reference to a percentage, refers to an amount that is greater or less the stated percentage by 10%, 5%, or 1%, including increments therein.

[0031] As used herein, the phrases “at least one,” “one or more,” and “and / or” are open-ended expressions that are both conjunctive and disjunctive in operation. For example, each of the expressions “at least one of A, B and C,” “at least one of A, B, or C,” “one or more of A, B, and C,” “one or more of A, B, or C” and “A, B, and / or C” means A alone, B alone, C alone, A and B together, A and C together, B and C together, or A, B and C together.

[0032] Reference throughout this specification to “some embodiments,” “further embodiments,” or “a particular embodiment,” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. Thus, the appearances of the phrase “in some embodiments,” or “in further embodiments,” or “in a particular embodiment” in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0033] The term "Evidence-Based Therapy (EBT)," as used herein, generally refers to a range of scientifically validated therapeutic and training interventions. Evidence-Based Therapy (EBT) may include one or more of the following therapies: Cognitive Behavioral Therapy (CBT), Cognitive Therapy, Cognitive Behavioral Theory, Cognitive Behavioral Training (CBT), Dialectical Behavioral Therapy (DBT), Logotherapy, Acceptance and Commitment Therapy (ACT), Mindfulness-Based Cognitive Therapy (MBCT), Exposure Therapy, Eye Movement Desensitization and Reprocessing (EMDR), Trauma-Focused Cognitive Behavioral Therapy (TF-CBT), Interpersonal Therapy (IPT), Motivational Interviewing (MI), Solution-Focused Brief Therapy (SFBT), Behavioral Activation (BA), Parent-Child Interaction Therapy (PCIT), Prolonged Exposure Therapy (PE), Narrative Therapy, Multisystemic Therapy (MST), Functional Family Therapy (FFT), Schema Therapy, and Emotionally Focused Therapy (EFT). EBT may include any therapy that focuses on the interconnectedness of thoughts, feelings, and behaviors. For example, it may guide individuals in understanding and managing cognitive distortions or targeted symptoms, including irrational thought patterns, maladaptive behaviors, and overwhelming emotional responses. These symptoms are commonly associated with mental health conditions such as anxiety, depression, post-traumatic stress disorder (PTSD), andWSGR Attorney Docket No. 69178-701.601 obsessive-compulsive disorder (OCD). The delivery of EBT may be enriched by incorporating strategies from Economic Decision-Making Model, bibliotherapy, kinesthetic learning, and digital or online therapy, including techniques like Ecological Momentary Intervention. A given EBT process may require one or a plurality of lessons, activities, or interventions, delivered through a tailored curriculum system to enhance learning outcomes, user participation, and retention rates.

[0034] The term "Cognitive Behavioral Therapy (CBT)," as used herein, generally refers to a scientifically validated therapeutic approach that focuses on identifying and modifying dysfunctional thought patterns and behaviors. CBT may include one or more of the following components: cognitive restructuring, behavioral interventions, skills training, and problemsolving strategies. It helps individuals understand and manage cognitive distortions, such as irrational or negative thinking, and maladaptive behaviors that contribute to emotional distress. CBT is commonly used to treat mental health conditions such as anxiety, depression, post- traumatic stress disorder (PTSD), and obsessive-compulsive disorder (OCD). The delivery of CBT may involve various techniques, including structured sessions, homework assignments, and psychoeducation, to reinforce skills learned in therapy. Additionally, CBT may integrate approaches such as mindfulness practices, exposure techniques, or relapse prevention strategies to further support symptom management and long-term behavior change. The CBT process may involve a tailored curriculum, using tools like workbooks, digital platforms, or self-monitoring systems to enhance engagement and retention of therapeutic outcomes.

[0035] The term "Economic Decision-Making Model," as used herein, generally refers to a range of theories and frameworks that provide insights into how individuals make decisions, particularly in situations involving risk, uncertainty, or potential rewards. Economic Decision- Making Models may include, for example, Prospect Theory, Behavioral Economic Theory, or other Risk-Based Decision-Making Theories. These models suggest that individuals evaluate potential losses and gains differently, which can influence decision-making behavior. In certain embodiments, principles from Prospect Theory, as well as other economic decision-making models, may be incorporated into the systems and methods disclosed herein to aid users in understanding and managing cognitive distortions within the framework of Evidence-Based Therapy (EBT). The integration of these models into the tailored curriculum significantly enhances users' comprehension of their decision-making patterns, helping them recognize irrational thought processes and ultimately improving the overall effectiveness of the EBT process.

[0036] The term "tailored curriculum," as used herein, generally refers to a personalized set of lessons or activities specifically configured to address the unique needs of an individual in aWSGR Attorney Docket No. 69178-701.601 therapeutic or educational process. Tailored curriculums may be customized based on userspecific information, such as demographic, psychological, or behavioral data, and may include various components such as cognitive exercises, interactive activities, or physical materials. For example, a tailored curriculum may include activities like cognitive distortion analysis, mindfulness training, or guided journaling. A given tailored curriculum may involve one or more lessons or activities to achieve a specific therapeutic outcome, with content adapted to the user’s profile to enhance engagement and effectiveness.

[0037] The term "user-specific information," as used herein, generally refers to data or details that pertain to an individual’s unique characteristics, circumstances, or behaviors, which may be used to customize or personalize a system, method, or curriculum. User-specific information may include, but is not limited to, demographic information (such as age, gender, ethnicity, and socioeconomic status), psychological data (such as emotional state, mental health history, cognitive patterns, and behavioral tendencies), as well as environmental factors (such as work setting, family structure, and social interactions). For example, user-specific information may include the individual’s medical history, therapy goals, learning preferences, and personal experiences, which can be used to tailor therapeutic interventions. In some instances, this information may be collected through surveys, assessments, or digital platforms, while in other cases, it may be gathered from real-time monitoring, interactions, or historical data. A system utilizing user-specific information may adapt its processes or content to provide personalized feedback, lessons, or outcomes based on the individual’s unique profile.

[0038] The term "physical components," as used herein, generally refers to tangible items or materials that may be included as part of a system or method to support a therapeutic, educational, or training process. Physical components may comprise a wide range of items, such as printed booklets, activity sheets, journals, sensory tools, educational aids, interactive objects, or specialized equipment. These components may be used in conjunction with digital content or standalone to enhance engagement and provide hands-on experiences. For example, physical components may include workbooks for cognitive exercises, stress-relief objects for kinesthetic learning, or physical tokens representing achievements. In some cases, physical components may be tailored to the user's specific needs based on user-specific information, enhancing the effectiveness of the therapeutic process by providing a more personalized and immersive experience. Physical components may serve to reinforce learning, promote reflection, or engage the user in a multi sensory manner.

[0039] Unlike traditional evidence based therapy approaches that are typically delivered in clinical settings using face-to-face sessions with a trained therapist, the systems and methods disclosed herein embrace a more inclusive and adaptive approach. Traditional methods are oftenWSGR Attorney Docket No. 69178-701.601 constrained by factors such as accessibility, cost, and stigma. They also largely rely on the therapist's interpretation of the patient's needs and progress, with minimal patient autonomy in the process.

[0040] In contrast, the disclosed systems and methods may integrate bibliotherapy, allowing users to engage in self-guided learning and therapy. The curriculum also may comprise elements of bibliotherapy, kinesthetic learning activities and / or elements of Economic Decision-Making Model to cater to diverse learning styles and personal preferences. Additionally, the use of machine learning algorithms may be utilized to adapt the curriculum to the user's progress, providing continuous personalization. In some embodiments, the curriculum may integrate high- value items as learning artifacts enhances user engagement and bolsters self-worth. Thus, the systems and methods disclosed herein revolutionize the traditional approach, offering a more flexible, accessible, and engaging evidence based therapy that empowers users and may lead to improved therapy outcomes.

[0041] Unlike traditional systems and methods that often lack real-time analysis and adaptability, the disclosed system for tailoring an Evidence-Based Therapy (EBT) curriculum may offers numerous benefits including real-time transcription and analysis of spoken conversations for immediate therapeutic intervention, personalization based on user's unique communication style and behavioral patterns for customized therapy, use of advanced machine learning algorithms for efficient identification and response to cognitive distortions, a tailored EBT curriculum for a comprehensive therapeutic approach, and seamless integration with multiple online platforms for enhanced versatility and accessibility, positioning this system as a robust and effective tool for delivering personalized EBT.

[0042] In some embodiments, the system comprises at least one user identification component. In some cases, the user identification component is configured to collect and analyze user information to identify specific therapeutic needs. In some embodiments, the system includes at least one therapeutic modality component. In some instances, this therapeutic modality component is tailored to offer a range of therapeutic approaches for user consideration, further customizing the treatment process. In some embodiments, the system comprises at least one tailoring curriculum creation component. In some instances, this component is configured to tailor a unique Evidence-Based Therapy (EBT) curriculum based on the identified user needs and selected therapeutic modality. In some embodiments, the system includes at least one delivering curriculum component. In some instances, the delivering curriculum component is responsible for the distribution of the tailored curriculum to the user in an appropriate format and time. In some embodiments, the system comprises at least one component for analyzing curriculum effectiveness. In some instances, this component provides mechanisms forWSGR Attorney Docket No. 69178-701.601 monitoring user progress, collecting feedback, and assessing the effectiveness of the curriculum in addressing the user's therapeutic needs. In some cases, the system includes at least one component for updating the curriculum. In some instances, this updating component is configured to make necessary changes to the curriculum based on feedback and effectiveness analysis, ensuring that the curriculum remains responsive and adaptive to the user's changing needs.

[0043] The present disclosure provides systems and methods comprising one or more components tailored to provide a therapeutic modality. In some embodiments, the therapeutic modality may comprise one or more of bibliotherapy, kinesthetic learning activities, Economic Decision-Making Model principles, Evidence-Based Therapy (EBT), use of high-value items as learning artifacts, machine learning algorithms for personalized therapeutic needs analysis, realtime or near real-time transcription and analysis of spoken conversations, a user-friendly survey to collect detailed demographic and psychological information, a feedback mechanism allowing for continuous user feedback, a mechanism to adapt the curriculum based on user feedback and effectiveness analysis, and an interruption mechanism to create minor disruptions in habitual behaviors and thought processes.

[0044] In some embodiments, the system comprises at least one Evidence-Based Therapy (EBT) component. In some cases, the EBT component is tailored to assist users in identifying and managing negative thought patterns that may lead to feelings of anxiety, depression, and other mental health issues. In some embodiments, the system comprises one or more components configured to administer bibliotherapy.

[0045] In some instances, this bibliotherapy component uses literature to support good mental health, serving as a means of delivering EBT. For example, by reading about cognitive distortions and coping strategies, users may understand, manage, and improve their mental health conditions.

[0046] In some embodiments, the system comprises at least one kinesthetic therapy component. In some cases, the kinesthetic therapy component may comprise a skill-reinforcing activity booklet. In some instances, the skill-reinforcing activity booklet may seamlessly bridge the gap between theoretical understanding and practical application of EBT principles, fostering a balance of interactive and theoretical components. In some cases, the kinesthetic therapy component may be configured to provide at least one practical exercise. In some instances, at least one practical exercise may be configured to engage the user in therapeutic activities. For example, the therapeutic activities may range from simple cognitive exercises to more complex problem-solving tasks, configured to reinforce the theoretical knowledge gained from the educational materials.WSGR Attorney Docket No. 69178-701.601

[0047] In some instances, this kinesthetic therapy component may comprise physical activities that supplement the EBT component. For example, these physical activities allow individuals to experience EBT principles in a practical and engaging manner, reinforcing the cognitive behavioral skills being taught.

[0048] In some embodiments, the system may comprise at least one QR code. In some cases, the QR code is configured to direct users to corporate Employee Assistance Program (EAP) services.

[0049] In some embodiments, the system may comprise one or more feedback components. In some cases, the feedback components may be configured for users to provide continuous feedback on their progress and interaction with tool kit materials.

[0050] In some embodiments, the system may comprise one or more adaptation component(s). In some cases, the adaptation component may be configured to receive feedback and dynamically adapt the curriculum based at least in part on the feedback, the user's progress and needs.

[0051] In some embodiments, the system comprises at least one tool kit. In some instances, the tool kit is tailored to provide customized, effective, and interactive therapeutic activities based on the user's specific therapeutic needs and understanding of psychological principles. In some cases, the system comprises a series of tool kits that form at least part of a tailored EBT curriculum. In some instances, the series of tool kits are delivered to the user over an extended period, providing ongoing, adaptive, and sequential user support. In some instances, the frequency of delivery of the tool kits may be determined by an Al or machine learning algorithm that analyzes the user's demographic and psychological information.

[0052] For example, users at the early stages of understanding EBT principles or dealing with severe psychological challenges may receive weekly deliveries, offering 52 distinct touch-points over a year. In further examples, for users with advanced knowledge of EBT principles or lower intensity therapeutic needs, a less frequent delivery schedule, such as monthly, may be implemented by the AI / ML system, resulting in 12 touch-points over the year.

[0053] In even further examples, an intermediate delivery frequency may be adopted, where tool kits are delivered every two weeks, providing 26 touch-points over a year as determined by the AI / ML system. In some embodiments, this method ensures the user's unique therapeutic needs and learning pace are accommodated by the AI / ML system, thereby providing a personalized and adaptive learning experience.

[0054] In some cases, the system comprises at least one user-friendly survey. In some instances, this survey is tailored to collect detailed demographic and psychological information from the user.WSGR Attorney Docket No. 69178-701.601

[0055] In some cases, the tool kit comprises at least one high-value item. In some instances, these items are selected to reinforce self-worth and act as learning artifacts in the tool kits. For example, the system may be configured to choose a high-value item based on its ability to enhance user engagement and reinforce therapeutic concepts.

[0056] In some embodiments, a system for facilitating evidence-based therapy in online writing may comprise various components for detecting and addressing cognitive distortions in realtime. In some cases, the system may be configured to analyze user-generated written content across different platforms and flag cognitive distortions, assisting the user in reframing their thoughts before finalizing or sending the content.

[0057] In some embodiments, a system for facilitating evidence-based therapy in a digital journaling platform may comprise tools for cognitive distortion detection and feedback. In some cases, the system may be configured to analyze journal entries in real-time, providing suggestions for reframing cognitive distortions to promote healthier thought patterns.

[0058] In some embodiments, a system for delivering evidence-based therapy may comprise a tool kit, which may include physical and digital materials for detecting and treating cognitive distortions. In some cases, the tool kit may incorporate a method for tailoring a curriculum based on user-specific information, ensuring that the therapy is personalized to the user’s needs.

[0059] In some embodiments, a system for cognitive distortion analysis during conversations may comprise a voice-to-text platform, configured to transcribe spoken language in real-time and flag cognitive distortions. In some cases, the system may provide immediate feedback, helping users to recognize and adjust harmful thought patterns during verbal interactions.

[0060] In some embodiments, a system may comprise components for identifying user-specific therapeutic needs and customizing the therapy accordingly. In some cases, the system may include a method for collecting demographic and psychological information and using that information to generate a tailored therapeutic curriculum. The system may also analyze the collected data to adapt the therapy based on the user's psychological profile.

[0061] In some embodiments, the system includes at least one communication component. In some instances, the communication component is configured to facilitate the exchange of information between the user and the system, ensuring smooth and efficient interaction.

[0062] In some embodiments, the system includes at least one communication component. In some instances, the communication component may be configured to facilitate the exchange of information between the user and the system, ensuring smooth and efficient interaction. This component may also support various methods of collecting user data, including written input or other relevant content. In some cases, the communication component may include a scraper tool configured to gather the user’s written compositions from various platforms, such as emails,WSGR Attorney Docket No. 69178-701.601 social media posts, and messaging applications. The system may analyze these compositions to identify recurring cognitive distortions in the user's writing. The scraper tool may be activatable, with the user’s permission, to collect and analyze data across different platforms. Similar tools may include plugins or other data collection mechanisms that work across multiple digital environments to provide a comprehensive view of the user’s cognitive tendencies and improve the accuracy of the tailored curriculum.

[0063] In some cases, the system comprises at least one tool kit generation component. In some instances, this component is responsible for creating a series of tool kits that form a tailored Evidence-Based Therapy (EBT) curriculum based on the user's specific therapeutic needs and understanding of psychological principles.

[0064] In some embodiments, the system may comprise at least one processor configured to receive demographic and psychological information of a user through various inputs, including therapeutic surveys, user-generated content, and any other data the user provides access to. The processor may analyze this information, including the user’s writing, such as journal entries, online communications, or other textual data, to gain insights into their cognitive and psychological state. The system may then use this information to personalize therapeutic interventions and generate a tailored curriculum adapted to the user’s specific needs.

[0065] In some instances, these therapeutic surveys are tailored to collect demographic and psychological information from a user. In some embodiments, the system includes at least one machine learning algorithm. In some instances, this machine learning algorithm is configured to interpret the user's responses to the therapeutic surveys, effectively gauging the user's demographic and psychological status. In some embodiments, the system generates a series of tool kits. In some cases, the generation of these tool kits is based at least in part on the user's responses to the therapeutic surveys and the analysis performed by the machine learning algorithm. In some instances, these tool kits are customized to cater to each user's specific therapeutic needs, enhancing the personalization and effectiveness of the Evidence-Based Therapy (EBT) curriculum. In some instances, the tool kits are delivered to the user over an extended period, providing ongoing, adaptive, and sequential user support.

[0066] The present disclosure provides systems and methods comprising one or more methods of implementing one or more therapeutic modalities. In some embodiments, the one or more therapeutic modalities may comprise bibliotherapy, kinesthetic learning activities, Economic Decision-Making Model principles, Evidence-Based Therapy (EBT), use of high-value items as learning artifacts, machine learning algorithms for personalized therapeutic needs analysis, realtime or near real-time transcription and analysis of spoken conversations, a user-friendly survey to collect detailed demographic and psychological information, a feedback mechanism allowingWSGR Attorney Docket No. 69178-701.601 for continuous user feedback, a mechanism to adapt the curriculum based on user feedback and effectiveness analysis, an interruption mechanism to create minor disruptions in habitual behaviors and thought processes, and a system for tailoring a EBT curriculum. In some embodiments, the method for tailoring a curriculum starts with obtaining one or more of user demographic and psychological information. In some cases, the method comprises the collection of the one or more of user demographic and psychological information through an initial survey. In some cases, the demographic data collection may comprise queries about the user's age, gender, highest level of education completed, current occupation, and / or previous participation in therapy or counseling.

[0067] In some cases, the method continues with analyzing the demographic and psychological information to generate a tailored therapeutic curriculum. In some instances, the method continue with generating a plurality of tool kit. In some instances, the method continues with determining a delivery timeline configured to deliver each tool kit of the plurality of tool kits. In some instances, the method comprises delivering at least one tool kit. In some instances, the method comprises the user receiving the at least one tool kit. For example, the tool kit may comprise a digital access code. In some instances, the method comprises upon the user scanning the digital access code, granting the user access to an online tutorial. In some instances, as an alternative or complementary option to the digital tutorial, the method comprises directing the user to a physical booklet included within the tool kit. In some instances, the method may comprise providing a means to access an online portal comprising instructional videos and other resources. In some instances, the method may comprise providing users with a comprehensive blend of digital and physical components to support their therapeutic journey. For example, the online tutorial and / or physical booklet may comprise foundational knowledge on one or more therapeutic principles and / or one or more economic principles. As an example, the one or more therapeutic principles may comprise at least one element of Evidence-Based Therapy (EBT). As an example, the one or more therapeutic principles may comprise at least one element of bibliotherapy and kinesthetic learning activities. As another example, the one or more economic principles may comprise at least one element of the Economic Decision-Making Model. In further examples, the at least one element of the Economic Decision-Making Model may provide insight into the decision-making processes individuals employ when faced with situations involving risk or uncertainty. In some instances, the method comprises instructing users on how potential losses and gains are evaluated differently, thereby influencing their decision-making behavior. In some instances, the method comprises merging one or more elements of cognitive behavioral therapy, bibliotherapy, kinesthetic learning, and Economic Decision-Making Model in a custom manner to enhance patient engagement and treatmentWSGR Attorney Docket No. 69178-701.601 efficacy. In some instances, the method comprises delivering an immersive and interactive therapeutic experience. In some instances, the method may comprise providing instructions for integrating other individuals to foster a supportive environment.

[0068] In some instances, the method comprises the user engaging in the therapeutic activities set out in the curriculum, which may comprise, at least in part, the use of physical gear included within the tool kit. In some instances, the method comprises cyclic repetition on a periodic basis, such as quarterly, offering ongoing, adaptive, and sequential user support, aligning with the principle of introducing the one or more elements of one or more therapeutic / economic principles over time.

[0069] In some instances, the method comprises instructing the user on how to obtain the high- value gear. For example, high-value gear may be included in a tool kit to enhance user engagement, and / or to serve as practical components necessary for the kinesthetic learning activities. As an example, the method aims to maintain a balance of theoretical understanding and practical application (e.g., enhancing the overall effectiveness of the therapeutic experience provided by the tool kits).

[0070] In some cases, the method comprises assessing a baseline understanding of psychological principles through various questions. For example, the method may comprise asking users to rate their familiarity with Evidence-Based Therapy (EBT) on a scale of 1-10, describe their experience with mental health practices, share their practice of any self-help or mindfulness techniques like journaling, meditation, or breathing exercises, express their comfort level with identifying and challenging negative thought patterns, and indicate their understanding of the interconnectedness of thoughts, feelings, and behaviors in mental health.

[0071] In some instances, the questions may comprise one or more elements of any well- established psychological assessments. For example, the questions may comprise one or more elements of the Beck Depression Inventory (BDI), Generalized Anxiety Disorder 7 (GAD-7), Patient Health Questionnaire (PHQ-9), Perceived Stress Scale (PSS), and the Minnesota Multiphasic Personality Inventory (MMPI). As an example, this detailed information may allow for the creation of a customized or semi-customized tool kit that aligns closely with the specific needs and understanding level of each user (e.g., enhancing the efficacy of the therapeutic journey).

[0072] In some cases, the method may utilize age and life stage to determine the type of Evidence-Based Therapy (EBT) lessons included in tool kits. In some instances, younger participants or those with less life experience may benefit from simplified, straightforward EBT lessons, while older participants may engage more effectively with more profound, reflectiveWSGR Attorney Docket No. 69178-701.601 content. For example, gamified activities may be more suited to younger participants, while activities promoting journaling or introspection may be more appropriate for older users.

[0073] In some cases, the method comprises tailoring activities and physical items included in the tool kits based at least in part on the perceived engagement level of different age groups. In some instances, active gear, such as multi-tools, may be included for younger, adventurous participants, while reflection-oriented gear like waterproof notebooks may be provided for others. For example, such careful customization of tool kits contributes to enhancing user engagement and efficacy of the therapeutic experience.

[0074] In some embodiments, the method utilizes occupation and lifestyle factors when tailoring the curriculum's contents. In some cases, the method utilizes the user's daily routines when tailoring the curriculum's contents. In some instances, the method provides one or more tool kits focusing on stress and anxiety management for individuals in high-stress occupations. For example, the tool kit may be configured to help overcome "All-or-Nothing Thinking." In other examples, the tool kit may be configured to promote self-compassion and emotional reasoning, such as a set aimed at promoting "Better Every Day" practices.

[0075] In some instances, the method comprise tailoring one or more therapeutic components to the user's lifestyle. For example, for those leading active lifestyles, items promoting outdoor experiences may be included, while stress-relieving tools may be more beneficial for those in desk-bound occupations.

[0076] In some instances, the method comprises tailoring one or more therapeutic components to the individual interests. As an example, customization may extend beyond the initial "outdoor" theme, catering to a variety of settings such as competitive athletics, clubs, and other activity-based environments. As an example, this level of thoughtful customization and adaptation to occupation, lifestyle, and interests contributes to enhancing user engagement and therapy effectiveness, making the therapeutic journey more accessible and relatable.

[0077] In some instances, the method may comprise the dynamic adjustment of the tailored curriculum's contents, this adjustment being dependent on the user's progression within the curriculum. For participants who are unfamiliar with EBT, tool kits may be constructed to include more fundamental instruction about EBT principles, such as the interplay of thoughts, feelings, and behaviors. Conversely, for those with more advanced knowledge of EBT, the tailored curriculum may shift its focus towards challenging specific cognitive distortions through more nuanced and complex activities. For example, the instructional content tailored for beginners in EBT may be simplified, providing a gentle and approachable introduction to EBT principles. On the other hand, for users who have already displayed familiarity with EBT principles, more advanced activities, such as cognitive restructuring exercises, may beWSGR Attorney Docket No. 69178-701.601 incorporated. As an example, the method may comprise adjusting the tailored curriculum to remain engaging and challenging for all users regardless of their current level of understanding.

[0078] In some embodiments, the method involves tailoring the level of instruction and activities within the tool kits to match the user's existing understanding of Evidence-Based Therapy (EBT). In some cases, the method further customizes the curriculum's contents based on the user's experience with self-help or mindfulness techniques. For example, for participants who have prior experience with these techniques, a more advanced or diversified approach to Evidence-Based Therapy (EBT) may be beneficial.

[0079] In some instances, the method comprises the integration of both physical and psychological strategies in the therapeutic process. In even further examples, the method may utilize a user’s existing knowledge and experiences to enhance the overall effectiveness of the therapy. For example, for those who have already engaged in mental health practices, more challenging outdoor activities or advanced tools may be included in tool kits. In further examples, these may include items like emergency radios or solar panels aligned with self- reliance themes.

[0080] In some cases, the method tailors the curriculum based at least in part on the user's prior experience with self-help techniques, promoting an appropriate level of challenge and novelty in the therapeutic activities.

[0081] In some cases, the method further tailors the curriculum based on the user's comfort level with negative thought patterns. In some instances, for those uncomfortable with identifying such patterns, the tailored curriculum may start with gentle activities focusing on self-awareness, such as recognizing emotional triggers. In some instances, for users already comfortable with identifying negative thought patterns, the tailored curriculum may start with more advanced content. For example, the tailored curriculum may involve techniques such as reframing and replacing harmful thoughts.

[0082] In some instances, the method comprises choosing the gear configured to promote calmness and focus. For example, the gear may comprise stress-relief tools like weighted blankets for those needing emotional comfort. In further examples, for those ready to tackle cognitive distortions head-on, challenge-based tools, like survival gear, may be included. As an example, this level of personalization ensures that the therapeutic journey is attuned to the user's comfort level with identifying and handling negative thought patterns, promoting a supportive and engaging experience. In some instances, the gear included may comprise a stainless steel time capsule to reflect on past experiences and a waterproof notebook to encourage the habit of journaling.WSGR Attorney Docket No. 69178-701.601

[0083] In some instances, the method incorporates example customizations based on the user's unique profile. For example, a participant identifying as being in a high-stress occupation with limited familiarity with Evidence-Based Therapy (EBT) and little experience with self-help techniques may receive a first set focusing on foundational EBT principles. In further examples, the principles may include understanding the impact of thoughts on emotions. In further examples, subsequent sets may introduce more advanced tools and concepts based on the user's progress, ensuring a sequential and adaptive learning experience. In further examples, such customization helps ensure that each participant's journey with the curriculum is relevant, engaging, and appropriately challenging. As an example, this approach elevates the user's experience with tool kits, making their engagement with the tailored curriculum both practical and meaningful, thereby enhancing the overall effectiveness of the therapeutic journey.

[0084] In some instances, the method comprises the inclusion of high-quality physical items in tool kits to enhance user engagement and reinforce therapeutic concepts. For example, these items may resemble premium-grade versions of products found at elite sporting goods stores. In further examples, examples of these items may include a waterproof journal and an all-weather pen for journaling activities, a compact solar-powered charger, and a multi -tool, such as a Swiss Army Knife. In further examples, a lightweight camping hammock or a tactical flashlight with a strobe function may be included to align with outdoor activities. In further examples, a resistance bands set, a smart jump rope with a digital counter, compression sleeves for arms or legs, and an agility ladder for speed and coordination training may be added for users with more active lifestyles. In further examples, a high-performance water bottle with a time marker may be included to promote regular hydration. As an example, the physical items may reinforce the therapeutic activities and enhance the overall user experience, contributing to the overall effectiveness of the therapy.

[0085] In some cases, the method involves the inclusion of social engagement activities as part of the tailored curriculum. In some instances, tool kits, paired with corresponding online material, may foster social engagement by encouraging participants to share their experiences, insights, and progress within a community setting. For example, outdoor-focused sets may promote group activities such as camping, forest bathing, or team problem-solving tasks. In further examples, the activities create opportunities for collaboration and discussion around mental well-being. In some instances, sets with a competitive sports theme may inspire friendly competition, with participants tracking and sharing their fitness progress through online platforms. In further examples, the online material may integrate structured social challenges, discussion boards, and peer support networks. As an example, these social engagement strategies may enhance group accountability and build a supportive community that helpsWSGR Attorney Docket No. 69178-701.601 reinforce the principles of Evidence-Based Therapy (EBT). This multifaceted approach to therapy delivery not only enriches the user experience but also serves to strengthen the overall effectiveness of the therapeutic journey.

[0086] In some cases, the method comprises tailoring / organizing at least one tool kit with specific packaging and delivery process for tool kits. In some cases, the tool kit is packaged in a mailer box, with print material placed on a table-top insert. In some instances, upon opening the box and removing the book, a QR code is revealed. For example, the code may provide users with access to additional online resources, creating a seamless blend of physical and digital components. In some instances, upon removing the entire table-top insert, users discover high- quality gear necessary to complete the activity, further enhancing the user's anticipation and engagement with the therapeutic process. In further examples, this systematic packaging and delivery process contributes to an engaging user experience, thereby enhancing the overall effectiveness of the therapy.

[0087] In some cases, the method includes the provision of specific guidelines or schedules for users to interact with the materials and perform the therapeutic activities. In some instances, scheduling is achieved through the shipment timeline of tool kits.

[0088] In some instances, an ample amount of time is built into the schedule to allow participants to fully adopt their new knowledge of Evidence-Based Therapy (EBT), Economic Decision-Making Model, and other psychological principles. For example, this staggered schedule of delivery may allow for a measured introduction of new concepts and activities, promoting a more effective learning and application process. In further examples, this structured timeline contributes to a sequential and progressive therapeutic journey, which may allow users to systematically grasp and apply EBT principles, thereby enhancing the overall efficacy of the therapy.

[0089] In some cases, the method includes specific mechanisms to monitor user progress throughout each period, such as a quarter. In some instances, user engagement is tracked via interactions with the site associated with the tailored curriculum. In some instances, learning checks are integrated into the system in a commercially forward manner to measure outcomes. For example, these checks may involve interactive quizzes, self-reflection prompts, or feedback surveys that assess user understanding and application of the therapeutic principles. In further examples, this consistent monitoring of user progress ensures an ongoing assessment of the effectiveness of the therapy, allowing for timely adjustments and adaptations to the curriculum based on individual user's progress and needs. As an example, this may enhance the overall effectiveness of the therapy and ensure a personalized and responsive therapeutic journey.WSGR Attorney Docket No. 69178-701.601

[0090] In some cases, the method comprises a systematic collection of feedback from users. In some instances, this feedback is gathered in a commercially forward way and involves questions consistent with well-known psychometric tools. In some instances, all psychological questions used for feedback collection are derivatives of well-established assessments. For example, these assessments may comprise one or more elements of the Beck Depression Inventory (BDI), Generalized Anxiety Disorder 7 (GAD-7), Patient Health Questionnaire (PHQ-9), Perceived Stress Scale (PSS), and the Minnesota Multiphasic Personality Inventory (MMPI). In further examples, the collected feedback is utilized to adjust the contents of future sets within the tailored curriculum. As an example, the continual incorporation of user feedback into the curriculum configure process allows for adaptive and responsive adjustments that further personalize and enhance the therapeutic journey. By doing so, the overall effectiveness of the therapy is optimized based on real-time user feedback and progress.

[0091] In some cases, the method incorporates a mechanism for users to continuously provide feedback about their progress and interaction with tool kit materials. In some instances, this is facilitated via the associated website, providing a user-friendly platform for feedback submission. In some instances, feedback is also gathered through text messages using a technique called "Ecological Momentary Intervention." For example, this approach may involve sending supportive texts at random times to capture real-time responses and insights from users. In further examples, this continuous feedback mechanism ensures a dynamic and responsive therapeutic journey, allowing for real-time adjustments to enhance the user experience and overall effectiveness of the therapy.

[0092] In some cases, the method comprises provisions for ongoing support provided to users. In some instances, this support is adapted over time based on user feedback and progress. For example, as users' responses to various psychometric questions change through website / email surveys and Ecological Momentary Intervention (EMI)-based texts, their curriculum is adjusted accordingly. In further examples, the adjustments may ensure that the curriculum remains consistent with users' understanding of psychological principles and their reported levels of generalized stress and anxiety. In further examples, this continuous adaptation of support based on user feedback and progress enhances the personalized and responsive nature of the therapy, contributing to a more effective and engaging therapeutic journey.

[0093] In some embodiments, the systems and methods disclosed herein comprise a plurality of tool kits. In some cases, the plurality of tool kits are configured to educate users about cognitive distortions and offer strategies to overcome them, utilizing principles from both Cognitive Behavioral Theory (EBT) and Economic Decision-Making Model. In some instances, the evidence-based approach enhances traditional bibliotherapy by integrating kinesthetic learningWSGR Attorney Docket No. 69178-701.601 elements that cater to various learning styles, thereby increasing user participation and retention rates. In some instances, each tool kit comprises one part of a serialized program delivered over an extended period.

[0094] In some embodiments, the systems and methods disclosed herein include several key components. In some cases, the tool kits are customized for each user based on demographic information and unique psychological needs, with customization achieved through user-friendly, commercially forward surveys. In some instances, the survey data continually refines and enhances the product offering. In some cases, high-value items included in tool kits serve dual purposes of reinforcing self-worth and acting as "sacred artifacts" of learning and spark curiosity and participation, particularly critical for individuals with pathological depression.

[0095] In some instances, the tool kits encourage social engagement, providing instructions for facilitating collaborative learning experiences. For example, the inclusion of educational materials that cover the principles of EBT and Economic Decision-Making Model may cater to different learning styles, enhancing their effectiveness.

[0096] In some instances, the tool kits may feature online video tutorials and ADA-compliant, adaptive sports options, ensuring accessibility for all users. For example, these elements create a comprehensive, tailored, and engaging therapeutic journey, enhancing the overall effectiveness of the therapeutic intervention.

[0097] In some embodiments, the systems and methods disclosed herein comprise one or more elements of Economic Decision-Making Model. In some cases, these elements may include components tailored to help users understand concepts such as loss aversion and framing effects, where the presentation or "frame" of a situation may significantly impact decision-making. In some instances, the system may be configured to provide learning materials or activities that illustrate diminishing sensitivity, a concept in Economic Decision-Making Model where the subjective difference between certain values appears greater than the difference between higher corresponding values.

[0098] For example, the difference between $100 and $200 may subjectively seem greater than the difference between $1,100 and $1,200. In further examples, the system may include exercises demonstrating the certainty effect, a bias where outcomes that are certain are given more weight than outcomes which are merely probable. In even further examples, through these specific elements of Economic Decision-Making Model, the system may facilitate a deeper understanding of decision-making processes and cognitive distortions, enhancing the overall effectiveness of the therapeutic process.

[0099] In some embodiments, the systems and methods disclosed herein comprise one or more elements of Evidence-Based Therapy (EBT). In some cases, these elements of EBT mayWSGR Attorney Docket No. 69178-701.601 comprise strategies such as cognitive restructuring, which involves identifying and challenging irrational or negative thoughts. In some instances, the system may also incorporate behavior activation techniques, where users are encouraged to engage in activities they may normally avoid due to EBT target symptoms.

[0100] For example, the systems and methods may encompass elements of exposure therapy, a EBT technique tailored to help users confront and reduce fear or anxiety associated with specific situations. In further examples, the system may include elements of mindfulness-based evidence based therapy, integrating evidence based therapy techniques with mindfulness strategies to enhance user awareness of their thoughts and feelings.

[0101] In even further examples, through these elements of EBT, the system may facilitate a tailored therapeutic journey that effectively addresses individual cognitive distortions, ultimately enhancing mental well-being.

[0102] In some cases, the systems and methods disclosed herein may comprise one or more elements of bibliotherapy. In some instances, these elements of bibliotherapy may comprise strategies such as guided reading, where users are provided with specific reading materials tailored to promote understanding of their cognitive distortions or other mental health issues. For example, these reading materials may include self-help books, workbooks, or articles that focus on EBT principles and practices. In further examples, the system may include elements such as reflective writing or journaling exercises, which are often used in bibliotherapy to help users process their thoughts and feelings after reading the materials. In even further examples, these bibliotherapy elements, when incorporated into the system, may facilitate a deeper understanding of cognitive distortions, and provide practical strategies for managing these distortions, enhancing the overall effectiveness of the therapy.

[0103] In some cases, the systems and methods disclosed herein may comprise one or more elements of kinesthetic learning therapy. In some instances, these elements of kinesthetic learning therapy may comprise interactive activities that involve physical movement, which may help users internalize and understand the principles of Evidence-Based Therapy (EBT) more effectively. For example, these activities may include role-playing exercises where users physically act out situations to practice identifying and challenging cognitive distortions. In further examples, the system may include elements such as relaxation techniques or mindfulness exercises that involve controlled breathing or specific physical movements.

[0104] In even further examples, by incorporating these kinesthetic learning therapy elements, the system may provide users with a more engaging and interactive therapeutic experience that not only enhances their understanding of EBT principles but also promotes active participation in their own therapeutic journey. In some instances, the kinesthetic learning methods mayWSGR Attorney Docket No. 69178-701.601 comprise role-playing, simulations, and hands-on activities. For example, the methods promote deeper learning and better long-term retention of information compared to traditional lecturebased approaches.

[0105] In some embodiments, the systems and methods disclosed herein may comprise one or more elements of the psychology of material possession. In some cases, these elements may consider the psychological impact of physical possessions on users' self-worth and identity. In some instances, the systems and methods may incorporate these elements in the selection process of high-value items to be included in tool kits. For example, these high-value items may serve as tools for the therapeutic activities and as tangible representations of learning experiences, thereby fostering user engagement and participation. In further examples, the inclusion of these high-value items, considering principles from the psychology of material possession, may contribute to reinforcing users' self-worth, making the therapeutic journey more meaningful and engaging for each user. In even further examples, this approach ensures that the tool kits not only provide evidence based therapy but also enhance the user's sense of self-worth through the inclusion of high-value items, thereby optimizing the overall therapeutic experience. In some instances, the systems and methods incorporate elements influenced by research on the relationship between possessions and self-identity. These findings highlight how certain possessions, perceived as valuable, may influence an individual's self-worth and the way they perceive themselves. As a result, the systems and methods include high-value items to enhance user engagement and reinforce therapeutic principles.

[0106] In some embodiments, the systems and methods disclosed herein incorporate components influenced by the effectiveness of bibliotherapy in non-clinical settings for promoting self-help and enhancing psychological well-being. As such, these systems and methods possess elements of bibliotherapy, making them accessible and adaptable therapeutic solutions catering to a wide range of psychological issues.

[0107] In some embodiments, the systems and methods disclosed herein comprise several aspects. In some cases, one such aspect includes the layout of tool kits, highlighting "high- value" items, educational materials, and digital content access points.

[0108] In some embodiments, the systems and methods disclosed herein may comprise several aspects. In some cases, one such aspect may include the layout of tool kits that emphasize "high- value" items, educational materials, and digital content access points. In some instances, the term "high-value" may refer to items that are culturally relevant and perceived to hold significant value by the user, thereby enhancing engagement and therapeutic outcomes. For example, these items may be selected based on a predicted resonance with users and support the overall therapeutic process. In further examples, educational materials may be tailored to theWSGR Attorney Docket No. 69178-701.601 individual’s personal circumstances to ensure relevance. In even further examples, digital content access points may include online tutorials or other resources to supplement the physical kit contents.

[0109] In some embodiments, the systems and methods may comprise items of varying perceived value, depending on the therapeutic goals. In some cases, a company may select items that effectively engage users while maintaining alignment with the overall system for facilitating therapy, including the combination of educational materials and digital content. In some instances, the emphasis on "high-value" is intended to ensure that the items support meaningful engagement, without necessarily requiring expensive or premium products. For example, items may be chosen for their therapeutic relevance rather than their monetary value. In further examples, companies may use a range of items that support the intended therapeutic outcomes. In even further examples, the educational materials and digital resources may be adaptable based on the level of engagement needed for different users.

[0110] In some cases, the systems and methods comprise a customization interface. In some embodiments, the interface comprises a platform for the user to share their specific demographic and psychological information, which then influences the personalized content layout for each set.

[0111] FIG. 1 shows an example of a system configured for personalized, self-directed, selfpaced preventative training in evidence-based therapy, in accordance with some embodiments. The system may comprise a tool kit tailored to the individual user based on demographic and psychological information. This information may be collected and analyzed through various methods, including mobile apps, online portals, desktop software, or in-person assessments, depending on the implementation. The personalization ensures that the content and approach are aligned with the user’s specific needs and therapeutic goals.

[0112] Retail Gear 101 represents culturally relevant items configured to enhance user engagement and self-worth. In some embodiments, the retail gear 101 may comprise high-value items included in tool kit that have perceived value, serve as tangible representations of learning materials and psychological principles, and are curated based on the user's specific characteristics and needs to incentivize participation and reinforce self-worth. Nested Gear 102 represents additional items that enhance the learning activity. These items are contained beneath the tabletop of tool kit and meet the individual user's specific needs for the activity. The Mailer Box 103 is a conventionally-sized packaging that enhances adoption, communicates the value of the individual participant, and incorporates various psychological concepts such as bibliotherapy, kinesthetic learning, and the communication of individual value through quality material goods. The Tabletop 104 serves as an initial touchpoint upon opening tool kit,WSGR Attorney Docket No. 69178-701.601 introducing users to its contents and significance. Lastly, the Access Code Bucket 105 contains an access code to an online video supplement. This allows users to access online tutorials that teach the basics of behavioral health concepts through “bibliotherapy” and the kinesthetic learning activity, providing a comprehensive and multimedia approach to teaching and learning the principles of EBT.

[0113] FIG. 2 shows an example of content that may be provided within a system for selfdirected, evidence-based therapy, in accordance with some embodiments. The system may comprise a tool kit that includes booklets or digital guides explaining therapeutic approaches such as kinesthetic learning, bibliotherapy, deep dives into psychological concepts, physical activity instructions, and guides for family or team involvement. These materials may be tailored to engage users through both individual and group participation, offering comprehensive support aligned with the therapeutic goals of the user.

[0114] On the "tabletop" insert of the mailer box (201), the booklet serves as a guide to teach core principles of Cognitive Behavior Theory and other foundations of human psychology. Section 1 (203) introduces the kinesthetic approach to bibliotherapy as it relates to psychological prospects. Section 2 (204) provides a deep dive into psychological concepts covered in the booklet. Section 3 (205) outlines a physical activity using the included gear, configured to reinforce the concepts read in the previous section. Section 4 (206) serves as a guide for incorporating the learned concepts into a family or team environment. To supplement the booklet, a QR code (207) is provided, directing users to audio / video content for a multimedia learning experience. The concept for the booklet draws from data sets for "bibliotherapy," emphasizing the importance of reading as part of the therapeutic process.

[0115] FIG. 3 shows an example of a system for delivering sequential training in evidencebased therapy, in accordance with some embodiments. The system may comprise a series of tool kits, each configured to address specific cognitive distortions. These tool kits may be delivered to the participant’s doorstep as part of a serialized set, providing an extended and structured learning experience over time, with each kit focusing on a different cognitive distortion to support progressive therapeutic development.

[0116] Each set centers on specific cognitive distortions such as mental filtering and discounting the positive (301), overgeneralization and labeling (302), all or nothing thinking and magnifications minimization (303), jumping to conclusions and should statements (304), and emotional reasoning and personalization (305).

[0117] In some instances, the tool kits may be delivered to the participant's doorstep (306) in a "serialized set" format, providing an extended learning experience. For example, the assembly of these sets is informed by a survey (307) which is optimized for both desktop and mobileWSGR Attorney Docket No. 69178-701.601 platforms. In further examples, the survey gathers participant information including gender, age, location for seasonally appropriate offerings, industry, activity levels and mobility, and interests (308).

[0118] The diagram on the left (309) may represent a series for military troops (or any other user), showing the versatility of the Tool kits. The quantity of serialized sets may be adjusted to offer sustained learning, introduce material at a manageable pace, and generate engagement to improve outcomes (310). The configuration of tool kits is based on participants' demographic details and responses to survey questions, which may be accessed through an app or portal (3 H).

[0119] FIG. 6 shows an example of a system for delivering evidence-based therapy, in accordance with some embodiments. The evidence-based therapy (EBT) may comprise Evidence-Based Therapy (EBT) as part of its approach, including various materials and tools configured to facilitate therapeutic interventions. These materials may support self-directed learning, therapeutic exercises, and other strategies aimed at addressing cognitive distortions and improving mental health outcomes.

[0120] The EBT set is part of a tailored curriculum system that delivers a series of sets or tool kits based on the user's needs and understanding of psychological principles.

[0121] The EBT set includes high-value items (602). These items are selected based on their ability to reinforce self-worth and act as "sacred artifacts" of learning. The items spark curiosity and promote participation, particularly important for individuals with pathological depression. The items also serve as practical components necessary for the kinesthetic learning activities included in the therapeutic tool kit.

[0122] The tool kit may also comprise educational materials (603) that guide the user to understand the foundational principles of Evidence-Based Therapy (EBT) and engage in therapeutic activities. Surveys and customization tools (605) may be used to tailor the tool kit to the individual user. In some instances, the tools may utilize AI / ML capabilities to analyze the user's input, including answers to survey questions about their demographics, psychological state, and existing knowledge of psychological principles. The AI / ML tools may generate a series of sets that form the customized curriculum. In some embodiments, the system may also include API-supported scraping of the user's inputs across other platforms, such as emails, social media, or other online communications. This allows for a more comprehensive analysis of the user's cognitive patterns and behaviors, which may be incorporated into the customization process, further refining the tool kit and curriculum to better meet the user's unique therapeutic needs. The API-supported scraping may also be activated with the user’s permission, ensuring user privacy and control over data collection.WSGR Attorney Docket No. 69178-701.601

[0123] Digital content (604) may also be included as a supplemental part of the curriculum. The digital content may include online video tutorials and other interactive learning materials that provide a comprehensive learning experience for the users.

[0124] In some instances, the tool kit comprises part of a larger series of subsets (606) that are delivered over time, such as on a quarterly basis. For example, the serialized delivery may provide an extended learning experience, introducing new concepts and activities in a systematic manner to facilitate lasting behavioral change.

[0125] In some instances, the EBT set may be updated based on subsequent user data received. For example, continuous feedback mechanisms may ensure the curriculum is dynamically adjusted based on the user's progress and changing needs, enhancing the effectiveness of the therapy. The tool kits may be updated based on subsequent user data received, ensuring a personalized and responsive therapeutic journey.

[0126] In some embodiments, the disclosed tool kits form an integral part of a curriculum system innovatively configured for delivering Evidence-Based Therapy (EBT). The tool kits may comprise different touch-points in the sequential curriculum, each one addressing unique aspects of the therapy. In some instances, each tool kit is tailored to the user's needs, ensuring that each set is relevant and beneficial to their therapeutic journey.

[0127] In some cases, the tool kit is personalized according to demographic and psychological information of the user. In some instances, the information is collected through a user-friendly survey, which provides the data needed for personalizing the components of tool kits. This comprehensive and targeted approach may ensure that the materials within tool kits are relevant and meaningful to the individual user's experiences and needs.

[0128] In some instances, high-value items are incorporated into tool kits. For example, the high-value items may be configured to reinforce the user's self-worth and serve as meaningful artifacts of their learning journey. In further examples, the high-value items may be configured to foster curiosity but also encourage active participation in the therapy process.

[0129] In some instances, the tool kits may comprise digital content that respects diverse learning styles, including online video tutorials and other interactive digital content. For example, the content may assist the user better understand and engage with key principles of EBT and Economic Decision-Making Model.

[0130] In some instances, elements of kinesthetic learning are incorporated into the tool kits. For example, the elements may comprise physical objects symbolizing cognitive distortions and counteracting strategies, or role-playing exercises and simulations that facilitate hands-on understanding and practice.WSGR Attorney Docket No. 69178-701.601

[0131] As an example, the tool kits are part of a serialized program configured to facilitate sustained behavior change. In some instances, the tool kits are delivered over an extended period with distinct phases, providing ongoing support tailored to the individual user's progress and needs. For example, the serialized approach to the delivery of EBT may help ensure the user's long-term engagement and improvement.

[0132] In further examples, the tool kits described offer a tailored, comprehensive approach to delivering Cognitive Behavioral Therapy. By incorporating a range of personalized materials, high-value items, and kinesthetic learning elements, tool kits may provide an engaging and effective therapeutic experience that addresses the individual user's needs and promotes sustained behavioral change.

[0133] In some embodiments, an evidence based therapy tool kit may comprise of a receiver configured to receive a communication made by or to a user and an evidence based therapy treatment mechanism configured to receive a cognitive distortion and provide a cognitive distortion treatment. In some cases, an algorithm may be in communication with the receiver and evidence based therapy treatment mechanism and may be configured to interpret the communication, determine a presence of at least one indicator of evidence based therapy targeted symptom from the communication, predict an evidence based therapy targeted symptom modality based on the at least one indicator, and output a signal of evidence based therapy targeted symptom to evidence based therapy targeted symptom treatment mechanism. In some instances, evidence based therapy targeted symptom treatment provided by the evidence based therapy treatment mechanism may comprise of one or more reframing treatment and restructuring treatment. For example, the evidence based therapy tool kit may comprise the evidence based therapy treatment mechanism configured to provide bibliotherapy. In further examples, the evidence based therapy treatment mechanism may be utilized to help patients address and manage their cognitive distortions effectively. As an example, the algorithm may use advanced machine learning or Al techniques to accurately determine the presence of a cognitive distortion in user communication.

[0134] FIG. 10 to FIG. 59 illustrate various examples of tool kits 1000, 1100, 1200, 1300,1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100, 2200, 2300, 2400, 2500, 2600, 2700, 2800,2900, 3000, 3100, 3200, 3300, 3400, 3500, 3600, 3700, 3800, 3900, 4000, 4100, 4200, 4300,4400, 4500, 4600, 4700, 4800, 4900, 5000, 5100, 5200, 5300, 5400, 5500, 5600, 5700, 5800 and5900, in accordance with some embodiments. Each of these figures represents at least one element of a tool kit, configured for self-directed, self-paced preventative training in Cognitive Behavioral Theory (EBT), and tailored to the individual user based on their demographic and psychological state. In some instances, the tool kits highlight the versatility of the systems andWSGR Attorney Docket No. 69178-701.601 methods disclosed herein, demonstrating the ability for customization and adaptation to effectively address a wide range of mental health issues and user needs.

[0135] The present disclosure provides systems and methods for a system for facilitating evidence-based therapy in a digital journaling platform. In some embodiments, the platform may be configured to provide real-time feedback on their journaling entries. In some cases, the platform assists in mitigating impulsive thoughts and destructive ruminative thought patterns. In some instances, traditional journaling, recognized for its effectiveness in emotional regulation and self-reflection, lacks immediate, objective feedback required to rectify cognitive distortions as they emerge. For example, the Digital Journaling Platform may bridge this gap by offering an instant analysis powered by artificial intelligence, thereby facilitating users to identify and reframe distorted thoughts before they solidify. In further examples, this Al-driven analysis capability may significantly reduce symptoms of anxiety and depression. As an example, the Digital Journaling Platform makes it easier for users to manage and counter distorted thoughts in a more efficient manner.

[0136] Unlike traditional systems and methods which utilize journaling as a tool for emotional regulation and self-reflection without providing real-time feedback, the systems and methods provided herein offer a marked improvement. Specifically, the A system for facilitating evidence-based therapy in a digital journaling platform may provide real-time feedback on their journaling entries, thereby assisting in the elimination of impulsive thoughts and destructive ruminative thought patterns. While traditional journaling practices have been recognized for their effectiveness in reducing symptoms of anxiety and depression, they often lack immediate, objective feedback necessary to correct EBT-targeted symptoms (e.g., such as cognitive distortions) as they arise. In contrast, the methods and systems provided herein bridge this gap by implementing instant, Al-powered analysis. In some instances, the Al-powered analysis allows users to identify and reframe distorted thoughts before they solidify, presenting a notable advancement over traditional methods.

[0137] In some embodiments, the A system for facilitating evidence-based therapy in a digital journaling platform comprises one or more Al and machine learning algorithms to perform realtime identification and flagging of cognitive distortions in the user's writing. In some cases, the one or more Al and machine learning algorithms are trained to recognize a broad spectrum of EBT-targeted symptoms (e.g., such as cognitive distortions). In some instances, the EBT- targeted symptoms may comprise one or more of cognitive distortions, all-or-nothing thinking, overgeneralization, mental filtering, labeling, discounting the positive, personalization, selfblame, “should” statements, emotional reasoning, jumping to conclusions, magnification, minimization, and catastrophizing. In some instances, the Al may flag these distortions andWSGR Attorney Docket No. 69178-701.601 provide context-sensitive suggestions for reframing the thoughts in a more logical and helpful manner, facilitating cognitive restructuring. For example, this application of Al may identify and assists in the restructuring of cognitive distortions, which is a key component of EBT. In further examples, the platform may provide real-time assistance in identifying and managing cognitive distortions. As an example, the platform may enhance the user's ability to manage and counter cognitive distortions in an efficient manner by providing immediate, context-sensitive feedback.

[0138] In some embodiments, the system for facilitating evidence-based therapy in a digital journaling platform comprises at least one voice-to-text feature configured to translate spoken words into text, which is subsequently analyzed for cognitive distortions. In some cases, at least one voice-to-text feature may be configured for users who find it easier to articulate their thoughts verbally rather than in writing. In some instances, the voice-to-text functionality may be configured to transmit to users the same real-time feedback on their spoken thoughts as they do with written entries, enhancing the versatility and accessibility of the platform. For example, the at least one voice-to-text feature may allow for a wider range of users, including those with different learning preferences or disabilities, to effectively use the platform. In further examples, the platform may provide an additional layer of usability and inclusivity by accommodating different modes of expression. As an example, the voice-to-text feature may further facilitate cognitive restructuring by offering real-time feedback on spoken language.

[0139] In some embodiments, the system for facilitating evidence-based therapy in a digital journaling platform may serve as an invaluable tool for self-monitoring and self-correction. In some cases, even trained professionals may struggle to identify all cognitive distortions during a single session with a patient. In some instances, the platform may offer a comprehensive analysis that covers a broader scope of EBT target symptoms than may be identified in a typical therapy session. For example, this technology-supported approach may enhance the user's ability to self-monitor and self-correct, providing a robust supplement to traditional therapeutic interventions. In further examples, the platform may assist in the identification and management of a wider range of cognitive distortions than is typically possible in standard therapy sessions. As an example, the system's capacity to offer comprehensive, real-time analysis may contribute to more effective self-monitoring and correction strategies for users.

[0140] In some embodiments, a method of using the system for facilitating evidence-based therapy in a digital journaling platform may begin with the user entering text or voice input into the platform. This input may then be analyzed by the platform's Al and machine learning algorithms. In some cases, the platform may perform a real-time content analysis and identify any cognitive distortions present in the user's input.WSGR Attorney Docket No. 69178-701.601

[0141] In some instances, the platform may generate reframing suggestions based on the detected cognitive distortions and display these suggestions to the user. In some instances, the platform may be configured to allow the user to then review these suggestions, which may be presented in dropdown menus or dialogue boxes, guiding the user through the process of cognitive restructuring. For example, users may edit their original text or speech based on these suggestions, thereby implementing the reframing, and reducing the presence of cognitive distortions in their thoughts and communication.

[0142] In some instances, the method comprises a user continuous interaction with the platform. For example, as the user continues to enter text or voice input and receives real-time feedback from the platform, the user may engage in an iterative process of reviewing and reframing their thoughts. In further examples, over time, this repeated interaction with the platform may aid in reducing impulsive and ruminative thoughts, resulting in significant improvements in their emotional regulation and self-reflection abilities. As an example, the user's journey with the platform may culminate in a substantive reduction in the symptoms of anxiety and depression, reflecting the effectiveness of the platform's cognitive distortion prevention capabilities.

[0143] FIG. 7 shows an example of a system for facilitating evidence-based therapy through a digital platform (701), in accordance with some embodiments. The system may comprise a user interface for a Digital Journaling Platform specifically configured for cognitive distortion prevention. This platform may analyze journal entries in real-time, offering feedback and suggestions to help users identify and reframe cognitive distortions, supporting the therapeutic process.

[0144] FIG. 7 illustrates how the system for facilitating evidence-based therapy in a digital journaling platform may facilitate a process of self-reflection and self-correction in real-time, significantly enhancing the user's ability to identify and reframe cognitive distortions. The platform is shown accepting voice or text input (702) from the user. This input may be the user's thoughts, feelings, or reflections that they wish to journal.

[0145] Next, the platform may perform transcription (703) if the input is provided in voice format. The advanced Al and machine learning algorithms of the platform may convert the spoken words into text, making it possible to analyze the content in real-time or near real-time.

[0146] The transcribed text is then subjected to Al analysis (704). The platform's Al and machine learning algorithms may scan the text for EBT target symptoms, biases and / or distortions. The EBT-targeted symptoms (e.g., cognitive distortions) may be flagged, and context-sensitive suggestions for reframing the thoughts may be generated.

[0147] In some instances, the platform may provide feedback (705) to the user based on the Al analysis. For example, the feedback may include the flagged cognitive distortions and theWSGR Attorney Docket No. 69178-701.601 suggested reframes. In further examples, user may review the feedback and apply the suggested reframes to their thoughts, promoting cognitive restructuring.

[0148] In some embodiments, the evidence based therapy tool kit may comprise the evidence based therapy treatment mechanism further configured to receive and analyze users' journal entries in real-time. In some cases, the evidence based therapy treatment mechanism may assist in eliminating impulsive thoughts and destructive ruminative thought patterns in the user's journal entries. In some instances, the algorithm may be further configured to provide immediate, objective feedback on the identified cognitive distortions in the user's journal entries, facilitating emotional regulation and self-reflection.

[0149] For example, the algorithm may use Al-powered analysis to instantly identify cognitive distortions in the user's journal entries and suggest reframes to the user, helping users correct distorted thoughts before they solidify. In further examples, the algorithm may use supervised learning mechanisms, a form of machine learning where the algorithm is trained on labeled data, to perform real-time identification and flagging of cognitive distortions in the user's writing.

[0150] As an example, the machine learning algorithm may employ Natural Language Processing (NLP) techniques to analyze the user's written text and recognize a wide array of EBT-targeted symptoms distortions, including one or more of cognitive distortions, all-or- nothing thinking, overgeneralization, mental filtering, labeling, discounting the positive, personalization, self-blame, “should” statements, emotional reasoning, jumping to conclusions, magnification, minimization, and catastrophizing. In some instances, upon detecting cognitive distortions, the algorithm may use rule-based Al techniques to flag the identified distortions and provide context-specific suggestions for reframing the thoughts in a more logical and helpful manner.

[0151] In some cases, the rule-based Al techniques may draw on a predefined knowledge base or rule set to guide the generation of context-specific suggestions, thereby facilitating cognitive restructuring, a key component of Cognitive Behavioral Theory (EBT). In some instances, the evidence based therapy tool kit may comprise of a voice-to-text integration feature that employs automatic speech recognition (ASR) technology to convert spoken words into written text for subsequent analysis.

[0152] For example, the automatic speech recognition system may be configured to perform real-time transcription of user's spoken words, which are then analyzed by the Al and machine learning algorithms for the identification and flagging of cognitive distortions. In further examples, the voice-to-text feature may permit users to receive real-time feedback on their spoken thoughts, with the system applying the same Al and machine learning-based cognitive distortion detection techniques to the transcribed speech as to written text. As an example, theWSGR Attorney Docket No. 69178-701.601 voice-to-text feature may ensure the tool kit's accessibility and versatility for a wider range of users, including those who find verbal articulation more comfortable, those with different learning preferences, or users with disabilities that make writing challenging.

[0153] The present disclosure provides systems and methods for an Online Writing Cognitive Distortion Prevention Application. In some embodiments, this application, which may comprise a plugin, assists users in real-time as they generate text across various platforms, including but not limited to email, social media, and other online communication tools. In some cases, the application may be configured to prevent impulsive behavior. In some instances, the application may be configured to prevent impulsive behavior in the context of online interactions. For example, online interactions where individuals may quickly type and send messages without fully considering the cognitive distortions that may influence their thoughts and words. Unlike traditional systems and methods that lack mechanisms to monitor or correct EBT-Targeted Symptoms in real-time during online interactions, the systems and methods provided herein comprise an Online Writing Cognitive Distortion Prevention Application configured to provide real-time text analysis utilizing advanced machine learning algorithms, an interruption mechanism that introduces a pause before sending a message, instant feedback and reframing suggestions for identified cognitive distortions, an adaptive learning feature that provides personalized feedback based on user interactions, and platform integration that allows the application to be used across various digital platforms including email, social media, blogs, and forums.

[0154] In some cases, the application is configured to mitigate impulsivity in online communication which may lead to misunderstandings, conflict, and regret, making the application a beneficial instrument for promoting more thoughtful and measured responses. For example, by providing real-time feedback and flagging EBT target symptoms during online interactions, users may be able to modify their responses and communication behavior more effectively. In further examples, the application may serve as a powerful instrument to mitigate the challenges associated with impulsivity in online communication. As an example, the platform provides an addition to behavioral health applications by extending cognitive distortion detection and prevention to real-time online communication.

[0155] In some embodiments, the Online Writing Cognitive Distortion Prevention Application comprises an interruption mechanism configured to create minor disruptions in habitual behaviors and thought processes. In some cases, the interruption mechanism introduces a deliberate pause before a message is sent. In some instances, during this pause, users are prompted to review and reconsider any identified cognitive distortions. In some instances, the interruption mechanism disrupts the automaticity of impulsive actions, fostering more reflectiveWSGR Attorney Docket No. 69178-701.601 thinking and better decision-making. For example, this configuration allows users to review their messages thoroughly and helps reduce negative outcomes from hasty communications. In further examples, the interruption mechanism in the application may facilitate reflective thinking and improved decision-making. As an example, the implementation of a pause in communication by the interruption mechanism may contribute to reducing negative outcomes from impulsive or hasty communications.

[0156] In some embodiments, the Online Writing Cognitive Distortion Prevention Application comprises an interruption mechanism that requires an additional step before sending any flagged message. In some cases, after the application has analyzed the text, it prompts the user with a summary of identified distortions and asks them to confirm whether they wish to send the message as is or adjust. In some instances, this second thought mechanism is configured to introduce brief pauses in habitual actions, a principle based on behavioral science that suggests such pauses may lead to long-term behavior modification. For example, by consistently prompting users to reconsider their words, the interruption mechanism helps to instill a habit of reflection and self-regulation. In further examples, the interruption mechanism ensures users are given the opportunity to reflect on their message content before sending, which may result in more thoughtful communication. As an example, consistent use of the interruption mechanism may instill a habit of reflection and self-regulation, leading to long-term improvements in users' communication behaviors.

[0157] In some embodiments, the Online Writing Cognitive Distortion Prevention Application comprises an evaluation mechanism that operates in real-time, analyzing the user's text as they type. In some cases, the evaluation mechanism flags EBT target symptoms and / or cognitive distortions — such as emotional reasoning, personalization, or should statements — and assesses the tone of the message. In some instances, it then provides immediate feedback, displaying the number and types of distortions identified and offering a brief assessment of the overall tone, whether it be aggressive, passive, or neutral. For example, this instant evaluation encourages users to pause and reconsider their message, thereby reducing the likelihood of sending impulsive or emotionally charged content. In further examples, the evaluation mechanism works in tandem with the interruption mechanism, promoting reflective thinking and decision-making. As an example, the real-time analysis and feedback provided by the evaluation mechanism may help users understand and manage their cognitive distortions more effectively, promoting healthier communication habits.

[0158] In some embodiments, the Online Writing Cognitive Distortion Prevention Application comprises an adaptation and learning mechanism. In some cases, over time, the adaptation and learning mechanism learns from user interactions, offering increasingly personalized feedbackWSGR Attorney Docket No. 69178-701.601 based on the user's writing style and typical distortions. In some instances, this adaptability ensures that the application becomes more effective the more it is used, tailoring its interventions to the specific needs and patterns of the individual. For example, this continuous learning process helps users become more aware of their cognitive distortions, ultimately leading to improved communication habits and a reduction in impulsive behavior. In further examples, the adaptation and learning mechanism dynamically adjusts its feedback and suggestions to align with the user's unique communication style and behavioral patterns. As an example, the continuous learning and adaptation facilitated by this mechanism may contribute to long-term improvements in users' ability to identify and manage cognitive distortions, promoting healthier communication habits over time.

[0159] In some embodiments, the tool kit system may comprise a mechanism for users to continuously provide feedback about their progress and interaction with the tool kit materials. In some cases, this continuous feedback mechanism may involve the use of website interactions and text messages utilizing the concept of Ecological Momentary Intervention. In some instances, this continuous feedback mechanism ensures a dynamic and responsive therapeutic journey, allowing for real-time adjustments to enhance the user experience and overall effectiveness of the therapy. For example, this consistent monitoring of user progress ensures an ongoing assessment of the effectiveness of the therapy, allowing for timely adjustments and adaptations to the curriculum based on individual user's progress and needs. In further examples, this level of personalization ensures that the therapeutic journey is attuned to the user's comfort level with identifying and handling negative thought patterns, promoting a supportive and engaging experience. As an example, the feedback collection and utilization process may contribute to an adaptive and personalized therapeutic journey, enhancing the overall effectiveness of the therapy.

[0160] In some embodiments, a method of using the Online Writing Cognitive Distortion Prevention Application may commence with a user typing a message on a variety of platforms, such as email clients or social media sites. In some cases, as the user types, the application provides real-time analysis for cognitive distortions and tone assessment, utilizing Al and machine learning algorithms. The application may flag EBT target symptoms and / or cognitive distortions with visual cues, such as underlined or highlighted text, and a summary box may appear before the user sends the message.

[0161] In some instances, after the analysis, the application displays a pop-up or modal window, summarizing the distortions and tone assessment, and providing options for the user to revise or send the message. This interruption prompt may include options for viewing more detailed explanations of each distortion and suggested reframes.WSGR Attorney Docket No. 69178-701.601

[0162] For example, the application may also feature a tone assessment element. In further examples, the application may categorize the tone of the user's text and utilize visual indicators, such as color-coded labels, to convey this information to the user.

[0163] In further examples, the application adapts its feedback based on user history and behavior patterns, as part of a learning mechanism detailed in a flowchart. As an example, the flowchart includes the stages from initial text input, real-time analysis for cognitive distortions, tone assessment, and the generation of the interruption prompt.

[0164] As an example, a user journey diagram may show the interaction with the application, starting from typing a message, receiving real-time feedback, reviewing the interruption prompt, and deciding to revise or send. This diagram may emphasize the moments where the application interrupts impulsive behavior, showing how these small interventions may lead to larger behavioral changes over time.

[0165] In some embodiments, the evidence based therapy tool kit may comprise an evidence based therapy treatment mechanism that incorporates a real-time text analysis feature, which utilizes Natural Language Processing (NLP) and Machine Learning algorithms to analyze the user's text as it is being typed in various writing platforms. In some cases, the real-time text analysis feature may use pattern recognition and semantic analysis to flag EBT target symptoms and / or cognitive distortions such as emotional reasoning, personalization, or "should" statements in the user's text. In some instances, the real-time text analysis feature may further employ sentiment analysis algorithms to assess the tone of the message, categorizing it as aggressive, passive, or neutral based on linguistic cues.

[0166] For example, the real-time text analysis feature may provide immediate feedback to the user by displaying the number and types of distortions identified along with a brief assessment of the overall tone, through user-friendly interfaces such as highlights, pop-ups, or sidebars. In further examples, the immediate feedback from the real-time text analysis feature may be configured to encourage users to pause and reconsider their message before sending, incorporating delay mechanisms or prompts to disrupt impulsive behavior and reduce the likelihood of sending emotionally charged content.

[0167] As an example, the evidence based therapy treatment mechanism may incorporate an interruption mechanism that requires an additional step before sending any flagged message. In some embodiments, after the analysis of the text, the interruption mechanism may prompt the user with a summary of identified distortions and ask them to confirm whether they wish to send the message as is or adjust.

[0168] In some cases, this second thought mechanism may be configured based on behavioral science principles suggesting that brief pauses in habitual actions may lead to long-termWSGR Attorney Docket No. 69178-701.601 behavior modification. In some instances, by consistently prompting users to reconsider their words before sending, the interruption mechanism may instill a habit of reflection and selfregulation in users.

[0169] For example, the evidence based therapy treatment mechanism may incorporate a learning feature that adapts over time based on user interactions. In further examples, the learning feature may offer increasingly personalized feedback based on the user's writing style and typical cognitive distortions.

[0170] As an example, the adaptability of the learning feature may ensure that the effectiveness of the evidence based therapy treatment mechanism improves the more it is used, thereby tailoring its interventions to the specific needs and patterns of the individual user. In some embodiments, the continuous learning process of the learning feature may help users become more aware of their cognitive distortions, ultimately leading to improved communication habits and a reduction in impulsive behavior.

[0171] The present disclosure provides systems and methods for an Online Content EvaluationApplication configured to enhance critical thinking skills while consuming online content, such as news articles, blogs, and other websites. In some embodiments, this application may empower users by improving their ability to critically evaluate the credibility and objectivity of online content. In some cases, in an era of rampant misinformation and disinformation, the ability to critically analyze online content may ameliorate these issues. In some instances, the Online Content Evaluation Application may comprise a tool that helps users identify EBT target symptoms and / or EBT target symptoms, biases and / or distortions present in the material they are reading, thereby promoting a more analytical approach to content consumption. Unlike traditional systems and methods, which may lack the ability to help users identify EBT target symptoms, biases and / or distortions in real-time, the systems and methods provided herein comprise an Online Content Evaluation Application comprising one or more features such as real-time content analysis for highlighting EBT target symptoms and / or cognitive distortions or biased information, credibility scoring to evaluate the objectivity of online content, misinformation flagging to indicate instances of misinformation or disinformation, cognitive bias identification to help users recognize their own cognitive biases, a user-interactive interface for providing explanatory feedback on flagged content, and a learning capability to adapt its analysis based on user interactions and improvements over time.

[0172] In some instances, the application may subtly yet powerfully alert users to actual or potential EBT-targeted symptoms EBT target symptoms, biases and / or distortions in the online content they consume, encouraging a more analytical and informed approach to content consumption. In further examples, the application provides users with real-time alerts, helpingWSGR Attorney Docket No. 69178-701.601 them to discern credible information from biased or misleading content. As an example, the application may comprise an invaluable tool in the digital age, helping users navigate and critically evaluate the vast amount of online content they encounter daily.

[0173] In some embodiments, the Online Content Evaluation Application comprises components that increase a reader's critical thinking skills by making them aware of the possibility of misinformation or disinformation in the content they are reading. In some cases, the application monitors and advances user’s critical thinking skills advancing the user to the point that users are aware that a piece of content may contain misleading information and are more likely to engage in deeper analysis, question the validity of the information, and seek out additional sources to confirm the content's accuracy. In some instances, the application may utilize this principle by providing real-time alerts that highlight EBT target symptoms, biases and / or distortions in online content, prompting users to think more critically without directly altering the content itself. For example, this configuration provides users with a tool to navigate and critically evaluate online content, enhancing their ability to discern credible information from biased or misleading content. In further examples, the real-time alerts provided by the application encourage users to think more critically about the content they consume, thereby improving their ability to identify and understand EBT target symptoms, biases and / or distortions. As an example, the application promotes deeper analysis and critical thinking by alerting users to potential inaccuracies, distortions, or biases in the content they are consuming.

[0174] In some embodiments, the Online Content Evaluation Application comprises an evaluation mechanism. In some cases, the evaluation mechanism is non-intrusive. In some cases, instead of altering or censoring content, the evaluation mechanism may subtly flag areas of the text that may contain cognitive distortions or biased language. In some instances, the evaluation mechanism uses a scaled rating system to assess the overall objectivity of the content, offering a score that represents the likelihood of the content being balanced or biased. For example, the scaled rating system may be configured to maintain the reader's autonomy, allowing them to make informed decisions based on the flagged content rather than imposing changes or restricting access. In further examples, the non-intrusive nature of the evaluation mechanism ensures that the user's reading experience is not disrupted while still providing valuable insights into the objectivity and credibility of the content. As an example, the evaluation mechanism's ability to provide real-time, non-intrusive feedback on the objectivity of content may aid users in improving their critical thinking skills and overall information literacy.

[0175] In some embodiments, the Online Content Evaluation Application comprises a critical thinking mechanism. In some cases, by providing a layer of analysis, the critical thinking mechanism is configured to allow users to engage with content more thoughtfully, enhancingWSGR Attorney Docket No. 69178-701.601 their critical thinking abilities over time. In some instances, critical thinking mechanism is configured for users to learn to recognize critical thinking mechanism, common EBT symptoms, cognitive distortions, and biases, such as confirmation bias, selective omission, or emotionally charged language, which may manipulate perception and understanding. For example, as users continue to interact with the application, the critical thinking mechanism is configured to help users develop a stronger ability to discern credible information from biased or misleading content, a skill that is increasingly valuable in today's information-rich environment. In further examples, the critical thinking mechanism fosters a more analytical approach to consuming online content, leading to improved discernment of credible information. As an example, the continuous interaction with the application over time enhances users' critical thinking skills, which may allow them to recognize and understand common distortions and biases in online content more effectively.

[0176] In some embodiments, the Online Content Evaluation Application comprises a rating mechanism. In some cases, the application comprises a scalable rating system that assesses the objectivity of the content without correcting or altering the original text. In some instances, this system is configured to be intuitive, providing users with a clear indication of where the content falls on a spectrum from highly objective to potentially biased. For example, users may click on the rating to receive a breakdown of the factors contributing to the score, such as the presence of certain types of cognitive distortions, the use of emotionally charged language, or the lack of supporting evidence for claims made in the content. In further examples, the scalable rating system provides an easy -to-under stand assessment of content objectivity, assisting users in understanding the EBT target symptoms, biases and / or distortions present in the content they consume. As an example, the ability of the rating mechanism to provide a breakdown of the factors contributing to the objectivity score may offer users deeper insights into the credibility and objectivity of the content.

[0177] In some embodiments, the Online Content Evaluation Application comprises an education mechanism. In some cases, the application includes an educational component that explains the different types of EBT-targeted symptoms, cognitive distortions, and biases it flags, helping users understand why certain parts of the content are considered problematic. In some instances, this educational aspect is configured to increase user-awareness and permit users to apply these critical thinking skills in other areas of their life, beyond just online content consumption. For example, this education mechanism may provide explanations and insights into EBT-target symptoms, cognitive distortions, and biases, enhancing users' understanding and promoting the application of critical thinking skills in various contexts. In further examples, the education mechanism may foster an increased awareness of EBT target symptoms, biases and / orWSGR Attorney Docket No. 69178-701.601 distortions, empowering users to apply these skills beyond online content consumption. As an example, the educational component of the application provides users with the knowledge and skills necessary to identify and understand EBT target symptoms, biases and / or distortions, facilitating more informed and critical consumption of online content.

[0178] FIG. 4 shows an example of a system for evaluating content in an online environment, in accordance with some embodiments. The system may comprise a user interface for an Online Content Evaluation Application, allowing users to assess content for cognitive distortions or other relevant psychological markers. This interface may provide feedback and suggestions, helping users critically engage with online material in a way that supports evidence-based therapeutic goals.

[0179] The diagram demonstrates a scenario in which a user navigates to an article of interest (401) on an online media platform. In this scenario, the application is integrated with the user's web browser and begins to analyze the content of the article in real-time as the user engages with the reading. The Online Content Evaluation Application identifies and highlights sections of the article that contain EBT target symptoms, biases and / or distortions. These instances may be marked as flagged content (402) and (404). Correspondingly, the application may provide an explanation of each flagged content section (403 and 405 respectively), detailing to the user the specific nature of evidence based therapy targeted symptom or bias detected in those parts of the article. Additionally, the application may provide an objectivity score for the entire article (406). In some instances, the score is represented on a scale (e.g., such as a color-coded, pattern coded, labeled scale, numbered, etc.), for example, the score may comprise from 0 to 5, where 0 indicates high bias and 5 represents high objectivity. The score may provide the user with a quick and intuitive assessment of the overall objectivity of the article, further guiding their critical evaluation of the content. The objectivity score may be dynamically updated as the user navigates through different articles, offering real-time feedback on the credibility and potential biases of various online content.

[0180] FIG. 8 shows an example of a system for facilitating evidence-based therapy in an online environment, in accordance with some embodiments. The system may comprise an Online Writing Plugin configured for cognitive distortion prevention in the context of evidence-based therapy. This plugin may be applied to various platforms, such as email, social media, messaging apps, and online documents, providing real-time feedback to users by identifying and flagging cognitive distortions. It may assist users in reframing thoughts before sending messages or publishing content, thereby supporting therapeutic outcomes across multiple communication platforms.WSGR Attorney Docket No. 69178-701.601

[0181] Email 801 depicts a sample email being composed by a user. The 'To' field 802 may considers the recipient of the email, factoring in the relationship and communication style with the person being emailed. The 'Subject' field 803 may be read for context as well as for EBT target symptoms, biases and / or distortions. The main body of the email text is shown in 805. The application may flag content 804 that may contain EBT target symptoms, biases and / or distortions. In some instances, this triggers an interruption prompt 806 that provides users an opportunity to reconsider their words before sending. Users then may have one or more options. For example, users may revise the content 807, send the revised content 808, or choose to send the content without revisions 809. FIG. 8 highlights the application's real-time capabilities to flag EBT target symptoms, biases and / or distortions, provide feedback, and offer users a chance to modify their communication behavior.

[0182] In some embodiments, the evidence based therapy tool kit may further comprise a content evaluation mechanism configured to enhance a user's critical thinking skills while consuming online content such as news articles, blogs, and other websites. In some cases, the content evaluation mechanism may help users identify EBT target symptoms, biases and / or distortions present in the online content the user consumes. In some instances, the content evaluation mechanism may encourage users to approach content consumption more analytically, thereby aiding in the critical evaluation of the credibility and objectivity of online content in an era of rampant misinformation and disinformation.

[0183] For example, the content evaluation mechanism may act as a subtle yet powerful tool that does not alter or censor the content but provides alerts about EBT target symptoms, biases and / or distortions present in the content, encouraging a more analytical approach to content consumption. In further examples, the content evaluation mechanism may utilize behavioral research findings indicating that awareness of potential misinformation or disinformation significantly increases a reader's critical thinking skills.

[0184] As an example, when the content evaluation mechanism detects that a piece of content may contain misleading information, the content evaluation mechanism may provide real-time alerts to the user, prompting deeper analysis, questioning of the validity of the information, and seeking out of additional sources to confirm the content's accuracy. In some embodiments, the real-time alerts generated by the content evaluation mechanism may highlight EBT target symptoms, biases and / or distortions in the online content, thus prompting users to engage more critically with the content without directly altering the content itself.

[0185] In some cases, the content evaluation mechanism may operate in a non-intrusive manner, maintaining the original content while flagging areas of the text that may contain cognitive distortions or biased language. In some instances, the content evaluation mechanism may use aWSGR Attorney Docket No. 69178-701.601 scaled rating system to assess the overall objectivity of the content, providing a score that indicates the likelihood of the content being balanced or biased.

[0186] For example, this non-intrusive evaluation approach may respect the reader's autonomy, allowing users to make informed decisions based on the flagged content, rather than imposing changes or restricting access to the online content they consume. This approach may enhance user autonomy and engagement with the digital content, fostering critical thinking skills in an unobtrusive manner. In further examples, the content evaluation mechanism may enhance users' critical thinking abilities by encouraging thoughtful engagement with online content through an additional layer of analysis.

[0187] As an example, users may learn to recognize common distortions and biases such as confirmation bias, selective omission, or emotionally charged language through continuous interaction with the content evaluation mechanism. In some embodiments, as users continue to interact with the content evaluation mechanism, they may develop a stronger ability to discern credible information from biased or misleading content, a skill that is increasingly valuable in today's information-rich environment.

[0188] In some cases, the content evaluation mechanism may employ a scalable rating system to assess the objectivity of the online content without altering the original text. In some instances, the scalable rating system may provide an intuitive measure for users, indicating where the content falls on a spectrum from highly objective to potentially biased.

[0189] For example, users may interact with the scalable rating system to receive a breakdown of the factors contributing to the objectivity score, including the presence of certain types of cognitive distortions, the use of emotionally charged language, or the lack of supporting evidence for claims made in the content. In further examples, the content evaluation mechanism may include an educational component that provides explanations of the different types of EBT target symptoms, biases and / or distortions it flags in the online content.

[0190] As an example, the educational component may help users understand why certain parts of the content are considered problematic, thus increasing awareness of EBT target symptoms, biases and / or distortions. In some embodiments, the educational component may not only increase awareness but also empower users to apply these critical thinking skills in other areas of their life, beyond just online content consumption.

[0191] The present disclosure provides systems and methods for an EBT-targeted symptom Analysis Voice to Text Application. In some embodiments, this application is configured to function as a companion for therapists and coaches, providing real-time or near real-time transcription and analysis of spoken conversations. In some cases, the application may be particularly valuable in clinical and coaching contexts, where recognizing and addressing EBT-WSGR Attorney Docket No. 69178-701.601 targeted symptom is critical. In some instances, even trained psychotherapists may struggle to identify and respond to every cognitive distortion during a session, given the rapid pace of natural conversation and the complexity of human thought. Unlike traditional systems and methods, which may not provide real-time or near real-time analysis of spoken conversations, the systems and methods provided herein real-time transcription and analysis, tailored for therapists and coaches, interactive application, machine learning algorithms, personalization, integration across platforms, educative component, and feedback mechanism.

[0192] For example, evidence based therapy targeted symptom Analysis Voice to Text Application may provide a solution by flagging these distortions as they occur, ensuring that none are missed and which may allow more effective interventions. In further examples, the application may comprise a robust tool that aids therapists and coaches in managing cognitive distortions during sessions. As an example, the real-time transcription and analysis provided by the application contributes to more effective therapeutic and coaching interventions.

[0193] In some embodiments, evidence based therapy targeted symptom Analysis Voice to Text Application may comprise a tool for EBT providers and / or users. In some cases, the evidence based therapy targeted symptom Analysis Voice to Text Application may provide insights on where evidence based therapy targeted symptom were spoken during a patient / user session. In some instances, by highlighting areas of concern, the application allows therapists to focus their attention on the evidence based therapy targeted symptoms, helping patients / users to interpret and respond to evidence based therapy targeted symptoms more effectively. In further examples, the application may streamline the therapeutic process, reducing the number of sessions required to achieve meaningful progress and allowing therapists to focus their efforts where they are most needed. As an example, evidence based therapy targeted symptom Analysis Voice to Text Application serves as a beneficial aid for therapists, enhancing the delivery of personalized care and improving the effectiveness of therapeutic interventions.

[0194] In some embodiments, evidence based therapy targeted symptom Analysis Voice to Text Application contributes to efficiency and accessibility in tool kits. In some cases, a significant number of patients may not require intensive clinical intervention but may still benefit from some level of cognitive-behavioral support. In some instances, the application may help identify these individuals, reducing the strain on clinical resources by allowing therapists to triage patients more effectively. For example, those who require full clinical intervention may be prioritized, while others may be directed towards coaching or less intensive forms of support. In further examples, this capability may help reduce the queue of patients waiting for therapy by ensuring timely care for those who need it most, while others receive appropriate, alternative interventions. As an example, evidence based therapy targeted symptom Analysis Voice to TextWSGR Attorney Docket No. 69178-701.601Application may provide as an efficient and accessible tool in tool kits, aiding EBT professionals in effectively triaging patients and ensuring timely and appropriate care.

[0195] In some embodiments, evidence based therapy targeted symptom Analysis Voice to Text Application is configured for use in both coaching and clinical contexts. In some cases, this application proves invaluable not only in a clinical setting, where the primary goal is the treatment of mental illnesses, but also in coaching environments that focus on personal development and achieving specific goals. In some instances, users / coaches may utilize the application to assist clients in recognizing and overcoming cognitive distortions that may be hindering their progress. For example, the application may offer real-time feedback, which may significantly enhance the coaching experience, leading to quicker and more sustained behavioral changes. In further examples, the application's versatility in various contexts underscores its effectiveness. As an example, the application may serve as an integral tool in both therapeutic and personal development settings, thereby contributing to its broader application and impact on mental health improvement.

[0196] In some embodiments, evidence based therapy targeted symptom Analysis Voice to Text Application may be configured for use in both coaching and clinical contexts. In some cases, this application may prove invaluable not only in a clinical setting, where the primary goal is the treatment of mental illnesses, but also in community settings and / or coaching environments that focus on personal development and achieving specific goals. In some instances, coaches may utilize the platform to assist clients in recognizing and overcoming EBT targeted systems that may be hindering their progress. For example, the application may offer real-time feedback, which may significantly enhance the coaching experience, leading to quicker and more sustained behavioral changes. In further examples, the application's versatility in various contexts underscores its effectiveness. As an example, the application may serve as an integral tool in both therapeutic and personal development settings, thereby contributing to its broader application and impact on mental health improvement.

[0197] In some embodiments, evidence based therapy targeted symptom Analysis Voice to Text Application may comprise a transcription mechanism that uses advanced Al and machine learning algorithms to convert spoken words into text in real-time or near real-time. In some cases, this transcription mechanism then analyzes the text for cognitive distortions, allowing both the therapist and patient to receive immediate feedback during their interactions. In some instances, such an instant analysis mechanism serves as a significant change in tool kits, where timely intervention and feedback may significantly impact the effectiveness of the treatment. For example, this real-time transcription and analysis feature may provide critical insights that enhance the therapeutic or coaching process, by identifying cognitive distortions as they occurWSGR Attorney Docket No. 69178-701.601 and providing immediate feedback. In further examples, the transcription mechanism may permit a more responsive and dynamic therapeutic process, promoting active engagement and fostering improved outcomes in therapy. As an example, this real-time transcription and analysis mechanism may significantly enhance the effectiveness of cognitive-behavioral interventions in both coaching and clinical settings.

[0198] In some embodiments, evidence based therapy targeted symptom Analysis Voice to Text Application may comprise a streamlining mechanism. In some cases, this streamlining mechanism, through its detailed analysis of a session's conversation, allows therapists to focus on the most important issues being discussed. In some instances, this may reduce the overall number of sessions needed for effective therapeutic intervention. For example, by pinpointing specific moments of distortion during a session, the application aids therapists in addressing these issues more directly and effectively, ensuring that each session is as productive as possible. In further examples, this streamlining mechanism not only makes therapy more efficient but also more accessible to a larger number of patients, as it optimizes the use of the therapist's time and expertise. As an example, the presence of such a streamlining mechanism in evidence based therapy targeted symptom Analysis Voice to Text Application may significantly enhance the efficiency and effectiveness of therapy sessions, leading to improved outcomes in mental health treatment.

[0199] FIG. 5 shows an example of a system for analyzing symptoms related to evidence-based therapy using voice-to-text technology, in accordance with some embodiments. The system may comprise a user interface for a Voice to Text Application, configured to analyze spoken content for cognitive distortions and other targeted symptoms. This interface may provide real-time feedback and suggestions to help users reframe their thoughts during conversations, supporting evidence-based therapeutic interventions.

[0200] In the example shown, a user, such as a clinician, starts a therapeutic session (502) on evidence based therapy targeted symptom Analysis Voice to Text Application (501). The dialogue of the session (503) is analyzed by the application in real-time or near real-time. Sections of the dialogue that contain EBT target symptoms, biases and / or distortions are flagged (504), with the application generating corresponding insight or explanation (505). The platform may be activated (506) for the real-time analysis of the ongoing dialogue, with the application specifically analyzing the language (507) used in the session. The interface also includes a location feature (508) and a settings or configuration option (509) for customization of the application's functionality and appearance, further demonstrating the application's user-friendly configure and adaptability to various user needs in both clinical and coaching contexts.WSGR Attorney Docket No. 69178-701.601

[0201] In some embodiments, evidence based therapy targeted symptom Analysis Voice to Text Platform may function as a tool in environments focused on personal development and goal achievement. In some cases, the platform may be used to provide real-time transcription and analysis of spoken conversations during coaching sessions, identifying, and flagging EBT- targeted symptoms as they occur. In some instances, the application's real-time feedback capability may significantly enhance coaching experiences, leading to quicker and more sustained behavior change. For example, this real-time transcription and analysis feature may provide helpful insights that enhance the coaching process, by identifying cognitive distortions as they occur and providing immediate feedback. In further examples, the application's ability to provide real-time, non-intrusive feedback may aid coaches in improving their critical thinking skills and overall communication. As an example, this real-time transcription and analysis mechanism may significantly enhance the effectiveness of cognitive-behavioral interventions in coaching settings.

[0202] In some embodiments, the evidence based therapy tool kit may further comprise a voice analysis feature configured to function as a clinical companion for therapists and coaches by providing real-time or near real-time transcription and analysis of spoken conversations. In some cases, the voice analysis feature may flag cognitive distortions in spoken conversations as they occur, ensuring none are missed and which may allow more effective interventions. In some instances, the voice analysis feature may use automatic speech recognition (ASR) technology for real-time or near real-time transcription of spoken conversations.

[0203] For example, the transcriptions may be analyzed by the Al and machine learning algorithms for identification and flagging of EBT targeted symptoms. In further examples, the voice analysis feature may be particularly valuable in clinical and coaching contexts where recognizing and addressing cognitive distortions is critical. As an example, the voice analysis feature may comprise as a tool for therapists by offering insights on where cognitive distortions were spoken during a patient’s session.

[0204] In further examples, the voice analysis feature may permit therapists to triage patients more effectively, reducing the strain on clinical resources. As an example, patients requiring full clinical intervention may be prioritized, while others may be directed towards coaching or less intensive forms of support based on the insights provided by the voice analysis feature.

[0205] In some embodiments, the voice analysis feature's ability to effectively triage patients may help eliminate the queue of patients waiting for therapy, ensuring those who need it most receive timely care, and others receive appropriate, alternative interventions. In some cases, the voice analysis feature may be applicable in both clinical and coaching environments, offering invaluable support in recognizing and overcoming cognitive distortions.WSGR Attorney Docket No. 69178-701.601

[0206] In some instances, in coaching environments, the voice analysis feature may focus on aiding personal development and the achievement of specific goals rather than treating mental illness. For example, coaches may use the voice analysis feature to help clients recognize and overcome cognitive distortions that may be hindering their progress. In further examples, the real-time feedback provided by the voice analysis feature may enhance the coaching experience and facilitate quicker and more sustained behavior change.

[0207] As an example, the voice analysis feature may use automatic speech recognition (ASR) technology to convert spoken words into text in real-time or near real-time. In some embodiments, the transcriptions of spoken words are then analyzed for cognitive distortions using the Al and machine learning algorithms. In some cases, both the therapist and the patient may receive immediate feedback based on the analysis of the transcriptions of the spoken words.

[0208] In some instances, the instant analysis and feedback provided by the voice analysis feature may significantly impact the effectiveness of the treatment, making it a significant change in tool kits. For example, the voice analysis feature may provide a detailed analysis of the session’s conversation, helping therapists focus on the most important issues. In further examples, by focusing on the most important issues identified by the voice analysis feature, the overall number of therapy sessions needed may be reduced, making therapy more efficient.

[0209] As an example, the increased efficiency of therapy sessions may make therapy more accessible to a larger number of patients. In some embodiments, the voice analysis feature’s ability to pinpoint specific moments of distortion in the conversation may allow therapists to address issues more directly and effectively, thereby ensuring that each session is as productive as possible.

[0210] In some embodiments, the system comprises at least one tailored videogame. In some cases, the at least one tailored videogame comprises at least one Evidence based therapy treatment Mechanism. In some instances, the Evidence based therapy treatment Mechanism comprises a system for facilitating evidence-based therapy in a digital journaling platform. In some cases, the at least one Evidence based therapy treatment Mechanism comprises at least one System for facilitating evidence-based therapy in online writing. In some instances, the at least one System for facilitating evidence-based therapy in online writing comprises an Online Content Evaluation Application. For example, the at least one System for facilitating evidencebased therapy in online writing may be configured to integrate an EBT-targeted symptom Analysis Voice to Text Application.

[0211] In some cases, the at least one tailored videogame is configured to incorporate one or more therapeutic principles. In some instances, the therapeutic principles comprise Evidence- Based Therapy (EBT), bibliotherapy, and kinesthetic learning. In some cases, the tailoredWSGR Attorney Docket No. 69178-701.601 videogame is further configured to incorporate one or more economic principles, such as Economic Decision-Making Model. For example, the configuration allows the tailored videogame may provide an immersive and interactive experience that is beneficial for users, helping to reinforce therapeutic and economic principles in a fun and engaging way. Computing Systems

[0212] Referring to FIG. 9, a block diagram is shown depicting an exemplary machine that includes a computer system 900 (e.g., a processing or computing system) within which a set of instructions may execute for causing a device to perform or execute any one or more of the aspects and / or methodologies for static code scheduling of the present disclosure. The components in FIG. 9 are examples only and do not limit the scope of use or functionality of any hardware, software, embedded logic component, or a combination of two or more such components implementing particular embodiments.

[0213] Computer system 900 may include one or more processors 901, a memory 903, and a storage 908 that communicate with each other, and with other components, via a bus 940. The bus 940 may also link a display 932, one or more input devices 933 (which may, for example, include a keypad, a keyboard, a mouse, a stylus, etc.), one or more output devices 934, one or more storage devices 935, and various tangible storage media 936. All of these elements may interface directly or via one or more interfaces or adaptors to the bus 940. For instance, the various tangible storage media 936 may interface with the bus 940 via storage medium interface 926. Computer system 900 may have any suitable physical form, including but not limited to one or more integrated circuits (ICs), printed circuit boards (PCBs), mobile handheld devices (such as mobile telephones or PDAs), laptop or notebook computers, distributed computer systems, computing grids, or servers.

[0214] Computer system 900 includes one or more processor(s) 901 (e.g., central processing units (CPUs) or general purpose graphics processing units (GPGPUs)) that carry out functions. Processor(s) 901 optionally contains a cache memory unit 902 for temporary local storage of instructions, data, or computer addresses. Processor(s) 901 are configured to assist in execution of computer readable instructions. Computer system 900 may provide functionality for the components depicted in FIG. 1 as a result of the processor(s) 901 executing non-transitory, processor-executable instructions embodied in one or more tangible computer-readable storage media, such as memory 903, storage 908, storage devices 935, and / or storage medium 936. The computer-readable media may store software that implements particular embodiments, and processor(s) 901 may execute the software. Memory 903 may read the software from one or more other computer-readable media (such as mass storage device(s) 935, 936) or from one or more other sources through a suitable interface, such as network interface 920. The softwareWSGR Attorney Docket No. 69178-701.601 may cause processor(s) 901 to carry out one or more processes or one or more steps of one or more processes described or illustrated herein. Carrying out such processes or steps may include defining data structures stored in memory 903 and modifying the data structures as directed by the software.

[0215] The memory 903 may include various components (e.g., machine readable media) including, but not limited to, a random access memory component (e.g., RAM 904) (e.g., static RAM (SRAM), dynamic RAM (DRAM), ferroelectric random access memory (FRAM), phasechange random access memory (PRAM), etc.), a read-only memory component (e.g., ROM 905), and any combinations thereof. ROM 905 may act to communicate data and instructions unidirectionally to processor(s) 901, and RAM 904 may act to communicate data and instructions bidirectionally with processor(s) 901. ROM 905 and RAM 904 may include any suitable tangible computer-readable media described below. In one example, a basic input / output system 906 (BIOS), including basic routines that help to transfer information between elements within computer system 900, such as during start-up, may be stored in the memory 903.

[0216] Fixed storage 908 is connected bidirectionally to processor(s) 901, optionally through storage control unit 907. Fixed storage 908 provides additional data storage capacity and may also include any suitable tangible computer-readable media described herein. Storage 908 may be used to store operating system 909, executable(s) 990, data 111, applications 912 (application programs), and the like. Storage 908 may also include an optical disk drive, a solid-state memory device (e.g., flash-based systems), or a combination of any of the above. Information in storage 908 may, in appropriate cases, be incorporated as virtual memory in memory 903.

[0217] In one example, storage device(s) 935 may be removably interfaced with computer system 900 (e.g., via an external port connector (not shown)) via a storage device interface 925. Particularly, storage device(s) 935 and an associated machine-readable medium may provide non-volatile and / or volatile storage of machine-readable instructions, data structures, program modules, and / or other data for the computer system 900. In one example, software may reside, completely or partially, within a machine-readable medium on storage device(s) 935. In another example, software may reside, completely or partially, within processor(s) 901.

[0218] Bus 940 connects a wide variety of subsystems. Herein, reference to a bus may encompass one or more digital signal lines serving a common function, where appropriate. Bus 940 may be any of several types of bus structures including, but not limited to, a memory bus, a memory controller, a peripheral bus, a local bus, and any combinations thereof, using any of a variety of bus architectures. As an example and not by way of limitation, such architectures include an Industry Standard Architecture (ISA) bus, an Enhanced ISA (EISA) bus, a MicroWSGR Attorney Docket No. 69178-701.601Channel Architecture (MCA) bus, a Video Electronics Standards Association local bus (VLB), a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, an Accelerated Graphics Port (AGP) bus, HyperTransport (HTX) bus, serial advanced technology attachment (SATA) bus, and any combinations thereof.

[0219] Computer system 900 may also include an input device 933. In one example, a user of computer system 900 may enter commands and / or other information into computer system 900 via input device(s) 933. Examples of an input device(s) 933 include, but are not limited to, an alpha-numeric input device (e.g., a keyboard), a pointing device (e.g., a mouse or touchpad), a touchpad, a touch screen, a multi-touch screen, a joystick, a stylus, a gamepad, an audio input device (e.g., a microphone, a voice response system, etc.), an optical scanner, a video or still image capture device (e.g., a camera), and any combinations thereof. In some embodiments, the input device is a Kinect, Leap Motion, or the like. Input device(s) 933 may be interfaced to bus 940 via any of a variety of input interfaces 923 (e.g., input interface 923) including, but not limited to, serial, parallel, game port, USB, FIREWIRE, THUNDERBOLT, or any combination of the above.

[0220] In particular embodiments, when computer system 900 is connected to network 930, computer system 900 may communicate with other devices, specifically mobile devices and enterprise systems, distributed computing systems, cloud storage systems, cloud computing systems, and the like, connected to network 930. Communications to and from computer system 900 may be sent through network interface 920. For example, network interface 920 may receive incoming communications (such as requests or responses from other devices) in the form of one or more packets (such as Internet Protocol (IP) packets) from network 930, and computer system 900 may store the incoming communications in memory 903 for processing. Computer system 900 may similarly store outgoing communications (such as requests or responses to other devices) in the form of one or more packets in memory 903 and communicated to network 930 from network interface 920. Processor(s) 901 may access these communication packets stored in memory 903 for processing.

[0221] Examples of the network interface 920 include, but are not limited to, a network interface card, a modem, and any combination thereof. Examples of a network 930 or network segment 930 include, but are not limited to, a distributed computing system, a cloud computing system, a wide area network (WAN) (e.g., the Internet, an enterprise network), a local area network (LAN) (e.g., a network associated with an office, a building, a campus or other relatively small geographic space), a telephone network, a direct connection between two computing devices, a peer-to-peer network, and any combinations thereof. A network, such asWSGR Attorney Docket No. 69178-701.601 network 930, may employ a wired and / or a wireless mode of communication. In general, any network topology may be used.

[0222] Information and data may be displayed through a display 932. Examples of a display 932 include, but are not limited to, a cathode ray tube (CRT), a liquid crystal display (LCD), a thin film transistor liquid crystal display (TFT-LCD), an organic liquid crystal display (OLED) such as a passive-matrix OLED (PMOLED) or active-matrix OLED (AMOLED) display, a plasma display, and any combinations thereof. The display 932 may interface to the processor(s) 901, memory 903, and fixed storage 908, as well as other devices, such as input device(s) 933, via the bus 940. The display 932 is linked to the bus 940 via a video interface 922, and transport of data between the display 932 and the bus 940 may be controlled via the graphics control 921. In some embodiments, the display is a video projector. In some embodiments, the display is a head-mounted display (HMD) such as a VR headset. In further embodiments, suitable VR headsets include, by way of non-limiting examples, HTC Vive, Oculus Rift, Samsung Gear VR, Microsoft HoloLens, Razer OSVR, FOVE VR, Zeiss VR One, Avegant Glyph, Freefly VR headset, and the like. In still further embodiments, the display is a combination of devices such as those disclosed herein.

[0223] In addition to a display 932, computer system 900 may include one or more other peripheral output devices 934 including, but not limited to, an audio speaker, a printer, a storage device, and any combinations thereof. Such peripheral output devices may be connected to the bus 940 via an output interface 924. Examples of an output interface 924 include, but are not limited to, a serial port, a parallel connection, a USB port, a FIREWIRE port, a THUNDERBOLT port, and any combinations thereof.

[0224] In addition or as an alternative, computer system 900 may provide functionality as a result of logic hardwired or otherwise embodied in a circuit, which may operate in place of or together with software to execute one or more processes or one or more steps of one or more processes described or illustrated herein. Reference to software in this disclosure may encompass logic, and reference to logic may encompass software. Moreover, reference to a computer-readable medium may encompass a circuit (such as an IC) storing software for execution, a circuit embodying logic for execution, or both, where appropriate. The present disclosure encompasses any suitable combination of hardware, software, or both.

[0225] Those of skill in the art will appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrativeWSGR Attorney Docket No. 69178-701.601 components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality.

[0226] The various illustrative logical blocks, modules, and circuits described in connection with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof configured to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.

[0227] The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by one or more processor(s), or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor may read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.

[0228] In accordance with the description herein, suitable computing devices include, by way of non-limiting examples, cloud computing platforms, distributed computing platforms, server clusters, server computers, desktop computers, laptop computers, notebook computers, subnotebook computers, netbook computers, and netpad computers.

[0229] In some embodiments, the computing device includes an operating system configured to perform executable instructions. The operating system is, for example, software, including programs and data, which manages the device’s hardware and provides services for execution of applications. Those of skill in the art will recognize that suitable server operating systems include, by way of non-limiting examples, FreeBSD, OpenBSD, NetBSD®, Linux, Apple® Mac OS X Server®, Oracle® Solaris®, Windows Server®, and Novell® NetWare®. Those of skill in the art will recognize that suitable personal computer operating systems include, by way of nonlimiting examples, Microsoft® Windows®, Apple® Mac OS X®, UNIX®, and UNIX-likeWSGR Attorney Docket No. 69178-701.601 operating systems such as GNU / Linux®. In some embodiments, the operating system is provided by cloud computing. Those of skill in the art will also recognize that suitable mobile smartphone operating systems include, by way of non-limiting examples, Nokia® Symbian® OS, Apple® iOS®, Research In Motion® BlackBerry OS®, Google® Android®, Microsoft® Windows Phone® OS, Microsoft® Windows Mobile® OS, Linux®, and Palm® WebOS®.Non-transitory Computer Readable Storage Medium

[0230] In some embodiments, the platforms, systems, media, and methods disclosed herein include one or more non-transitory computer readable storage media encoded with a program including instructions executable by the operating system of an optionally networked computing device. In further embodiments, a computer readable storage medium is a tangible component of a computing device. In still further embodiments, a computer readable storage medium is optionally removable from a computing device. In some embodiments, a computer readable storage medium includes, by way of non-limiting examples, CD-ROMs, DVDs, flash memory devices, solid state memory, magnetic disk drives, magnetic tape drives, optical disk drives, distributed computing systems including cloud computing systems and services, and the like. In some cases, the program and instructions are permanently, substantially permanently, semipermanently, or non-transitorily encoded on the media.Computer Programs

[0231] In some embodiments, the platforms, systems, media, and methods disclosed herein include at least one computer program, or use of the same. A computer program includes a sequence of instructions, executable by one or more processor(s) of the computing device’s CPU, written to perform a specified task. Computer readable instructions may be implemented as program modules, such as functions, objects, Application Programming Interfaces (APIs), computing data structures, and the like, that perform particular tasks or implement particular abstract data types. In light of the disclosure provided herein, those of skill in the art will recognize that a computer program may be written in various versions of various languages.

[0232] The functionality of the computer readable instructions may be combined or distributed as desired in various environments. In some embodiments, a computer program comprises one sequence of instructions. In some embodiments, a computer program comprises a plurality of sequences of instructions. In some embodiments, a computer program is provided from one location. In other embodiments, a computer program is provided from a plurality of locations. In various embodiments, a computer program includes one or more software modules. In various embodiments, a computer program includes, in part or in whole, one or more web applications,WSGR Attorney Docket No. 69178-701.601 one or more mobile applications, one or more standalone applications, one or more web browser plug-ins, extensions, add-ins, or add-ons, or combinations thereof.Software Modules

[0233] In some embodiments, the platforms, systems, media, and methods disclosed herein include software, server, and / or database modules, or use of the same. In view of the disclosure provided herein, software modules are created by techniques known to those of skill in the art using machines, software, and languages known to the art. The software modules disclosed herein are implemented in a multitude of ways. In various embodiments, a software module comprises a file, a section of code, a programming object, a programming structure, a distributed computing resource, a cloud computing resource, or combinations thereof. In further various embodiments, a software module comprises a plurality of files, a plurality of sections of code, a plurality of programming objects, a plurality of programming structures, a plurality of distributed computing resources, a plurality of cloud computing resources, or combinations thereof. In various embodiments, the one or more software modules comprise, by way of nonlimiting examples, a web application, a mobile application, a standalone application, and a distributed or cloud computing application. In some embodiments, software modules are in one computer program or application. In other embodiments, software modules are in more than one computer program or application. In some embodiments, software modules are hosted on one machine. In other embodiments, software modules are hosted on more than one machine. In further embodiments, software modules are hosted on a distributed computing platform such as a cloud computing platform. In some embodiments, software modules are hosted on one or more machines in one location. In other embodiments, software modules are hosted on one or more machines in more than one location.Databases

[0234] In some embodiments, the platforms, systems, media, and methods disclosed herein include one or more databases, or use of the same. In view of the disclosure provided herein, those of skill in the art will recognize that many databases are suitable for storage and retrieval of information related to the individualized learning curriculum, user demographics and psychological needs, user interactions, therapeutic activities, EBT target symptom detection and prevention, and real-time transcription and analysis of voice-to-text data in therapeutic and coaching contexts. These databases may store and manage vast amounts of data generated from the implementation of these systems and methods, facilitating efficient data retrieval, analysis, and reporting for enhanced personalization and effectiveness of the therapeutic interventions. In various embodiments, suitable databases include, by way of non-limiting examples, relationalWSGR Attorney Docket No. 69178-701.601 databases, non-relational databases, object oriented databases, object databases, entityrelationship model databases, associative databases, XML databases, document oriented databases, and graph databases. Further non-limiting examples include SQL, PostgreSQL, MySQL, Oracle, DB2, Sybase, and MongoDB. In some embodiments, a database is Internetbased. In further embodiments, a database is web-based. In still further embodiments, a database is cloud computing-based. In a particular embodiment, a database is a distributed database. In other embodiments, a database is based on one or more local computer storage devices.

[0235] While preferred embodiments of the present disclosure have been shown and described herein, it will be obvious to those skilled in the art that such embodiments are provided by way of example only. Numerous variations, changes, and substitutions will now occur to those skilled in the art without departing from the disclosure. It should be understood that various alternatives to the embodiments of the disclosure described herein may be employed in practicing the disclosure.

Claims

WSGR Attorney Docket No. 69178-701.601CLAIMSWHAT IS CLAIMED IS:

1. A method for tailoring an evidence-based therapy curriculum comprising:(a) receiving, by a processor, user-specific information that includes demographic and psychological information of a user; and(b) analyzing, by a machine learning algorithm, the user-specific information to generate a tailored curriculum, wherein the tailored curriculum comprises one or more physical components based at least in part on the user-specific information.

2. The method of claim 1, wherein generating the tailored curriculum further comprises selecting culturally relevant items configured to enhance user engagement and selfworth.

3. The method of claim 1, further comprising administering a user-friendly survey, wherein the user-specific information comprises one or more of the user's survey answers and writing, and wherein the machine learning algorithm determines one or more aspects of the user's existing knowledge of psychology.

4. The method of claim 3, further comprising delivering the tailored curriculum at predefined intervals, wherein the predefined intervals for delivering the tailored curriculum are determined based on the user’s therapeutic progress or updated userspecific information.

5. The method of claim 1, wherein the one or more physical components of the tailored curriculum further comprise a digital access code configured to access one or more online resources.

6. The method of claim 5, wherein the one or more online resources comprise tutorials or interactive content that deliver information on evidence-based therapies.

7. The method of claim 6, wherein the online tutorial provides background on the basics of one or more of evidence-based therapy and bibliotherapy, and / or incorporates a kinesthetic learning activity.

8. The method of claim 1, wherein the one or more physical components of the tailored curriculum further comprise a physical booklet.

9. The method of claim 8, wherein the physical booklet comprises instructions for engaging with the curriculum.

10. The method of claim 9, wherein the instructions are configured for social engagement.

11. The method of claim 1, wherein the one or more physical components further comprise therapeutic gear tailored based on the user-specific information.WSGR Attorney Docket No. 69178-701.60112. The method of claim 1, wherein the tailored curriculum is dynamically updated through a recurring analysis of the user-specific information.

13. The method of claim 12, wherein the recurring analysis of the user-specific information is performed in real-time and continuously over a duration of a user interaction with the tailored curriculum.

14. The method of claim 13, wherein the tailored curriculum is dynamically updated based on newly received demographic and psychological information of the user, wherein the machine learning algorithm continuously evolves the tailored curriculum in response to changes in the user-specific information.

15. The method of claim 1, wherein generating the tailored curriculum further comprises integrating one or more elements of an Economic Decision-Making Model tailored based on the user-specific information.

16. The method of claim 15, wherein the Economic Decision-Making Model comprises one or more elements of decision-making under uncertainty, probabilistic alternatives, risk considerations, the use of heuristics, and the influence of mental shortcuts on systematic biases in judgment and decision-making.

17. The method of claim 16, wherein the risk-based decision model comprises Economic Decision-Making Model.

18. The method of any preceding claim, wherein the one or more physical components further comprise adaptive sports equipment or tools tailored to accommodate various accessibility requirements and compliance standards.

19. The method of claim 18, wherein the accessibility requirements comprise compliance with various national and international accessibility regulations, including ADA standards, to accommodate users with diverse physical and cognitive needs.

20. The method of any preceding claim, wherein the one or more physical components further comprise one or more of the following: personalized instructional materials, customized workbooks, interactive content, specialized activity guides, individualized learning plans, customized visual aids, and tailored audio content.

21. The method of claim 1, wherein the tailored curriculum further comprises one or more kinesthetic learning elements.

22. The method of claim 21, wherein the one or more kinesthetic learning elements comprise physical objects configured to represent cognitive distortions and counteracting strategies, and / or role-playing exercises and simulations configured to facilitate hands-on understanding and practice of techniques for addressing cognitive distortions.WSGR Attorney Docket No. 69178-701.60123. The method of claim 1, wherein generating the tailored curriculum further comprises creating a serialized program configured to promote long-term behavioral modification and therapeutic outcomes.

24. The method of claim 23, wherein the serialized program is delivered over an extended period with calculated phases or stages, strategically planned and indicated to track progress and facilitate gradual and sustained therapeutic improvement.

25. The method of claim 24, wherein the serialized program is configured for delivery to the user on a weekly, bi-weekly, monthly, bi-monthly, quarterly, semi-annual, annual basis, or at intervals in between these time periods.

26. The method of claim 25, wherein the serialized program comprises one or more tool kits.

27. The method of claim 26, wherein the one or more tool kits comprise one or more of the following: digital components, physical instructional materials, customized worksheets, interactive digital content, activity guides, a personalized learning plan, visual aids, or audio content.

28. The method of claim 27, wherein the one or more tool kits are updated by one or more of the following methods: sending additional physical components, automatically updating digital components via an online platform, adjusting content based on user feedback and progress through machine learning algorithms, providing electronic updates, or delivering new materials digitally through email, mobile applications, or other electronic communication channels.

29. The method of claim 28, wherein at least one subsequent delivery of the one or more tool kits comprises updated educational materials and items tailored to the user's specific therapeutic needs and understanding of psychological principles.

30. The method of claim 1, wherein the one or more physical components comprise one or more user guides for executing evidence-based therapy activities.

31. The method of claim 30, wherein the one or more physical components further comprise one or more elements of bibliotherapy.

32. The method of claim 31, wherein the one or more elements of bibliotherapy are configured to provide therapeutic content that supports users in the identification, comprehension, and management of cognitive distortions for improved mental health outcomes, the elements comprising one or more of the following: curated reading materials, therapeutic stories or narratives, interactive workbooks, guided self-refl ection exercises, metaphorical stories, evidence-based literature, including evidence based therapy (EBT) principles, personalized reading recommendations, and user-specific journaling prompts to facilitate emotional processing and cognitive restructuring.WSGR Attorney Docket No. 69178-701.60133. An evidence based therapy tool kit, comprising(a) a receiver configured to receive a communication made by a user or directed to a user(b) a cognitive distortion treatment mechanism configured to receive an indication of a cognitive distortion and provide a cognitive distortion treatment;(c) an algorithm in communication with the receiver and the cognitive distortion treatment mechanism, the algorithm configured to:(i) interpret the communication;(ii) determine a presence of at least one indicator of the cognitive distortion from the communication;(iii) predict a cognitive distortion modality based on the at least one indicator; and(iv) output a signal indicating the cognitive distortion to the cognitive distortion treatment mechanism;(d) a scraper mechanism configured to collect, with user permission, the user's written compositions across various platforms to identify regularly occurring cognitive distortions in the user's writing, wherein the scraper is in communication with the algorithm.

34. The evidence based therapy tool kit of claim 33, wherein the cognitive distortion treatment comprises one or more of the following:(a) a reframing treatment, wherein the user is guided through a process of identifying and reinterpreting negative or distorted thoughts to view them from a more balanced or realistic perspective, including one or more of identifying automatic negative thoughts, challenging these thoughts, and providing alternative, rational interpretations;(b) a restructuring treatment, wherein the user identifies and modifies core beliefs and thought patterns that contribute to cognitive distortions through one or more of cognitive restructuring exercises, thought records, and guided reflection to uncover underlying assumptions; or(c) one or more additional cognitive behavioral interventions, including one or more of behavioral activation, exposure therapy, and problem-solving techniques, aimed at addressing both cognitive and behavioral aspects of cognitive distortions.

35. The evidence based therapy tool kit of claim 33 or claim 34, wherein the cognitive distortion treatment mechanism is configured to provide bibliotherapy, the bibliotherapyWSGR Attorney Docket No. 69178-701.601 comprising one or more of the following: curated reading materials tailored to the user’s specific cognitive distortions and therapeutic needs, therapeutic narratives or stories that exemplify techniques for managing cognitive distortions, interactive workbooks that guide users through exercises to identify and address cognitive distortions, metaphorical stories or fables that illustrate complex psychological concepts in an accessible way, self- reflection prompts that encourage the user to introspect on their thought patterns and emotional responses, evidence-based literature covering evidence based therapy principles, personalized reading recommendations based on the user’s therapeutic progress, journaling prompts that help the user track their cognitive and emotional experiences, and supplementary multimedia content, including one or more of audio material, video material, or other formats that enhance the user’s understanding and application of bibliotherapy techniques.

36. The evidence based therapy tool kit of any one of claims 33-35, wherein the cognitive distortion treatment mechanism is configured to incorporate one or more Economic Decision-Making Models or economic models, the models comprising one or more of the following: Economic Decision-Making Model, Expected Utility Theory, Cost- Benefit Analysis, Behavioral Economics principles, Heuristics and Biases, and models related to decision-making under uncertainty, with the goal of helping the user recognize and modify cognitive distortions related to risk perception, probability assessment, and decision-making behaviors.

37. The evidence based therapy tool kit of any one of claims 33-36, wherein the cognitive distortion treatment mechanism is configured to incorporate kinesthetic learning elements, the kinesthetic learning comprising one or more of the following: physical objects or tools configured to symbolize cognitive distortions and their counteracting strategies, role-playing exercises to simulate real-life scenarios, hands-on activities that facilitate experiential learning, physical exercises or movements aimed at reinforcing therapeutic concepts, and interactive tasks that engage the user in active problem-solving and cognitive restructuring through physical engagement.

38. A system for facilitating evidence-based therapy in a digital journaling platform, comprising:(a) a text input interface configured to receive one or more journaling entries from a user;(b) a processor configured to execute a machine learning algorithm, wherein the machine learning algorithm is trained to identify patterns in the journaling entries based on evidence-based therapeutic principles;WSGR Attorney Docket No. 69178-701.601(c) a detection module, controlled by the processor, configured to identify cognitive distortions or other therapeutic targets in real-time within the text input received by the user;(d) an indicator configured to flag sentences and clauses within the text input that contain potential therapeutic targets based on evidence-based therapy principles; and(e) a suggestion module configured to generate and provide recommendations to the user for reframing or addressing the flagged sentences and clauses.

39. The system of claim 38, wherein the recommendations are displayed on a user interface, and wherein the text input interface, processor, detection module, indicator, and suggestion module are communicatively connected and configured to operate cooperatively to enhance the user's self-awareness and application of evidence-based therapy techniques.

40. The system of claim 39, wherein the system is further configured to receive and analyze the users' journal entries in real-time.

41. The system of claim 40, wherein the machine learning algorithm is further configured to provide immediate, objective feedback on the identified cognitive distortions in the user's journal entries, facilitating emotional regulation and self-reflection, and assisting in eliminating impulsive thoughts and destructive ruminative thought patterns.

42. The system of claim 41, wherein the machine learning algorithm is configured to instantly identify cognitive distortions in the user's journal entries and suggest reframes to the user, helping the user correct distorted thoughts before they solidify.

43. The system of claim 42, wherein the machine learning algorithm uses supervised learning mechanisms to perform real-time identification and flagging of cognitive distortions in the user's writing.

44. The system of claim 43, wherein the machine learning algorithm employs Natural Language Processing (NLP) techniques to analyze the user's written text and recognize one or more of the following cognitive distortions: all-or-nothing thinking, overgeneralization, mental filtering, labeling, discounting the positive, personalization, self-blame, “should” statements, emotional reasoningjumping to conclusions, magnification, minimization, and catastrophizing.

45. The system of claim 44, wherein upon detecting cognitive distortions, the machine learning algorithm uses rule-based Al techniques to flag the identified distortions and provides context-specific suggestions for reframing the thoughts in a more logical and helpful manner.WSGR Attorney Docket No. 69178-701.60146. The system of claim 45, wherein the rule-based Al techniques draw on a predefined knowledge base or rule set to guide the generation of context-specific suggestions, thereby facilitating cognitive restructuring, a key component of Evidence-Based Therapy (EBT).

47. The system of claim 46, further comprising a voice-to-text integration feature that employs automatic speech recognition (ASR) technology to convert spoken words into written text for subsequent analysis by the machine learning algorithm.

48. The system of claim 47, wherein the voice-to-text feature permits users to receive realtime feedback on their spoken thoughts, with the system applying the same Al and machine learning-based cognitive distortion detection techniques to the transcribed speech as it applies to written text.

49. The system of claim 48, wherein the voice-to-text feature ensures the tool kit's accessibility and versatility for a wider range of users, including those who find verbal articulation more comfortable, those with different learning preferences, or users with disabilities that make writing challenging.

50. A system for facilitating evidence-based therapy in online writing, the system comprising:(a) a text evaluation module configured as a plugin integrated into one or more writing platforms, including but not limited to email and social media platforms;(b) a processor equipped with a machine learning algorithm trained to identify cognitive distortions in text based on evidence-based therapeutic principles;(c) a real-time detection feature, controlled by the processor, configured to flag instances of cognitive distortions as the user inputs text across the integrated platforms;(d) a distortion analysis feature configured to count the number of flagged cognitive distortions and assess the overall tone of the text;(e) a send-control interface that introduces an additional step before sending the text, wherein the send-control interface provides a summary of detected cognitive distortions and the assessed tone, and requires the user to manually confirm sending of the text; and(f) a user interface configured to display the summary of detected cognitive distortions and the assessed tone before the text is sent.

51. The system of claim 50, wherein the text evaluation module, processor, real-time detection feature, distortion analysis feature, send-control interface, and user interface are communicatively linked and operate cooperatively to enhance the user's awareness ofWSGR Attorney Docket No. 69178-701.601 cognitive distortions and regulate online text communication in alignment with evidencebased therapy techniques.

52. The system of claim 51, wherein the cognitive distortion treatment mechanism incorporates a real-time text analysis feature, which utilizes Natural Language Processing (NLP) and machine learning algorithms to analyze the user's text as it is being typed in various writing platforms.

53. The system of claim 52, wherein the real-time text analysis feature utilizes Natural Language Processing (NLP) and machine learning algorithms to analyze the user's text as it is being typed in various writing platforms and identify potential cognitive distortions.

54. The system of claim 53, wherein the real-time text analysis feature uses pattern recognition and semantic analysis to flag potential cognitive distortions, including one or more of the following: emotional reasoning, personalization, or "should" statements in the user's text.

55. The system of claim 54, wherein the real-time text analysis feature further employs sentiment analysis algorithms to assess the tone of the message, categorizing it as aggressive, passive, or neutral based on linguistic cues.

56. The system of claim 55, wherein the real-time text analysis feature provides immediate feedback to the user by displaying the number and types of distortions identified, along with a brief assessment of the overall tone, through user-friendly interfaces, including one or more of the following: highlights, pop-ups, or sidebars.

57. The system of claim 56, wherein the immediate feedback from the real-time text analysis feature is configured to encourage users to pause and reconsider their message before sending, incorporating delay mechanisms or prompts to disrupt impulsive behavior and reduce the likelihood of sending emotionally charged content.

58. The system of claim 57, wherein the real-time text analysis feature incorporates an interruption mechanism that requires an additional step before sending any flagged message.

59. The system of claim 58, wherein after the analysis of the text, the interruption mechanism prompts the user with a summary of identified distortions and asks them to confirm whether they wish to send the message as is or adjust.

60. The system of claim 59, wherein the interruption mechanism is configured as a "second thought" mechanism based on behavioral science principles, encouraging brief pauses in habitual actions to support long-term behavior modification.WSGR Attorney Docket No. 69178-701.60161. The system of claim 60, wherein the interruption mechanism, by consistently prompting users to reconsider their words before sending, instills a habit of reflection and selfregulation in users.

62. The system of claim 61, wherein the interruption mechanism incorporates a learning feature that adapts over time based on user interactions.

63. The system of claim 62, wherein the learning feature provides increasingly personalized feedback based on the user's writing style and typical cognitive distortions identified.

64. The system of claim 63, wherein the adaptability of the learning feature ensures that the effectiveness of cognitive distortion detection improves with use, tailoring its interventions to the specific needs and patterns of the individual user.

65. The system of claim 64, wherein the continuous learning process of the learning feature helps users become more aware of their cognitive distortions, leading to improved communication habits and a reduction in impulsive behavior.

66. A system for promoting evidence-based therapy in the evaluation of online articles and websites, the system comprising:(a) an evaluation module implemented as a plugin configured to detect cognitive distortions in online articles or websites based on the evidence-based therapeutic principles;(b) a processor equipped with a machine learning algorithm trained to identify cognitive distortions in text based on the evidence-based therapeutic principles;(c) a real-time detection feature, controlled by the processor, configured to flag instances of cognitive distortions as the user reads content on the online articles or websites;(d) an objectivity assessment feature configured to provide a scaled rating system for the objectivity of the content, the rating being based on the frequency and severity of the flagged cognitive distortions; and(e) a user interface configured to display the flagged cognitive distortions and the scaled objectivity rating to the user without altering the original text of the online articles or websites.

67. The system of claim 66, wherein the evaluation module, processor, real-time detection feature, objectivity assessment feature, and user interface are communicatively interconnected and operate cooperatively to enhance the user's ability to critically evaluate online content through the lens of evidence-based therapy techniques.WSGR Attorney Docket No. 69178-701.60168. The system of claim 67, further comprising a content evaluation feature configured to enhance the user's critical thinking skills while consuming online content, such as news articles, blogs, and other websites.

69. The system of claim 68, wherein the content evaluation feature helps users identify potential cognitive distortions and biases present in the online content they consume.

70. The system of claim 69, wherein the content evaluation feature encourages users to approach content consumption more analytically, thereby aiding in the critical evaluation of the credibility and objectivity of online content in an era of rampant misinformation and disinformation.

71. The system of claim 70, wherein the content evaluation feature provides alerts about potential cognitive distortions and biases present in the content, without altering or censoring the content, encouraging a more analytical approach to content consumption.

72. The system of claim 71, wherein the content evaluation feature leverages behavioral research findings indicating that awareness of potential misinformation or disinformation significantly increases a reader's critical thinking skills.

73. The system of claim 72, wherein the content evaluation feature provides real-time alerts to the user when it detects that a piece of content may contain misleading information, prompting deeper analysis, questioning of the validity of the information, and seeking out additional sources to confirm the content's accuracy.

74. The system of claim 73, wherein the real-time alerts generated by the content evaluation feature highlight potential biases and distortions in the online content, prompting users to engage more critically with the content without directly altering the content itself.

75. The system of claim 74, wherein the content evaluation feature operates in a nonintrusive manner, maintaining the original content while flagging areas of the text that may contain cognitive distortions or biased language.

76. The system of claim 75, wherein the content evaluation feature uses a scaled rating system to assess the overall objectivity of the content, providing a score that indicates the likelihood of the content being balanced or biased.

77. The system of claim 76, wherein the non-intrusive evaluation approach respects the reader's autonomy, allowing users to make informed decisions based on the flagged content, rather than imposing changes or restricting access to the online content they consume, thereby enhancing user autonomy and engagement with digital content.

78. The system of claim 77, wherein the content evaluation feature enhances users' critical thinking abilities by encouraging thoughtful engagement with online content through an additional layer of analysis.WSGR Attorney Docket No. 69178-701.60179. The system of claim 78, wherein users learn to recognize common distortions and biases, such as confirmation bias, selective omission, or emotionally charged language, through continuous interaction with the content evaluation feature.

80. The system of claim 79, wherein as users continue to interact with the content evaluation feature, they develop a stronger ability to discern credible information from biased or misleading content, a skill that is increasingly valuable in today's information-rich environment.

81. The system of claim 80, wherein the content evaluation feature employs a scalable rating system to assess the objectivity of the online content without altering the original text.

82. The system of claim 81, wherein the scalable rating system provides an intuitive measure for users, indicating where the content falls on a spectrum from highly objective to potentially biased.

83. The system of claim 82, wherein users can interact with the scalable rating system to receive a breakdown of the factors contributing to the objectivity score, including the presence of cognitive distortions, the use of emotionally charged language, or the lack of supporting evidence for claims made in the content.

84. The system of claim 83, wherein the content evaluation feature includes an educational component that provides explanations of the different types of cognitive distortions and biases it flags in the online content.

85. The system of claim 84, wherein the educational component helps users understand why certain parts of the content are considered problematic, thereby increasing awareness of cognitive distortions and biases.

86. The system of claim 85, wherein the educational component increases awareness and empowers users to apply these critical thinking skills in other areas of their life beyond online content consumption.

87. A system for cognitive distortion analysis during conversations, the system comprising:(a) a voice input interface configured to receive spoken content from a user;(b) a voice-to-text conversion module configured to transcribe the received spoken content into text;(c) a processor equipped with a machine learning algorithm trained to identify cognitive distortions in the transcribed text;(d) a real-time detection feature, controlled by the processor, configured to flag instances of cognitive distortions within the transcribed text;WSGR Attorney Docket No. 69178-701.601(e) a suggestion module configured to generate and provide suggestions for reframing flagged cognitive distortions; the suggestions being developed with the support of a trained clinician;(f) a user interface configured to display the transcribed text, flagged cognitive distortions, and reframing suggestions to the user, wherein the voice input interface, voice-to-text conversion module, processor, real-time detection feature, suggestion module, and user interface are communicatively linked and operate cooperatively to facilitate the analysis and correction of cognitive distortions during spoken conversations, thereby serving as a voice-to-text version of a cognitive distortion prevention platform.

88. The system of claim 87, further comprising a voice analysis feature configured to function as a "clinical companion" for therapists and coaches by providing real-time or near real-time transcription and analysis of spoken conversations.

89. The system of claim 88, wherein the voice analysis feature flags cognitive distortions in spoken conversations as they occur, ensuring none are missed and permitting more effective interventions.

90. The system of claim 89, wherein the voice analysis feature uses automatic speech recognition (ASR) technology for real-time or near real-time transcription of spoken conversations.

91. The system of claim 90, wherein the transcriptions are analyzed by the machine learning algorithm to identify and flag cognitive distortions.

92. The system of claim 91, wherein the voice analysis feature is particularly valuable in clinical and coaching contexts where recognizing and addressing cognitive distortions is critical.

93. The system of claim 92, wherein the voice analysis feature provides insights on where cognitive distortions were spoken during a session, serving as an essential tool for therapists.

94. The system of claim 93, wherein the voice analysis feature provides automated analysis that augments, rather than replaces, the clinician’s role, permitting personalized care.

95. The system of claim 94, wherein the voice analysis feature highlights areas of concern in the spoken conversation, allowing therapists to focus on the most critical aspects of the session, thereby enhancing their ability to interpret and respond to distortions effectively.

96. The system of claim 95, wherein the insights provided by the voice analysis feature streamline the therapeutic process, potentially reducing the number of sessions requiredWSGR Attorney Docket No. 69178-701.601 to achieve meaningful progress and allowing therapists to focus their efforts where they are most needed.

97. The system of claim 96, wherein the voice analysis feature aids in identifying patients who may not require intensive clinical intervention but could still benefit from some level of cognitive-behavioral support, contributing to the efficiency and accessibility of cognitive-behavioral therapy.

98. The system of claim 97, wherein the voice analysis feature permits therapists to triage patients more effectively, reducing the strain on clinical resources.

99. The system of claim 98, wherein patients requiring full clinical intervention can be prioritized, while others can be directed towards coaching or less intensive forms of support based on the insights provided by the voice analysis feature.

100. The system of claim 99, wherein the ability of the voice analysis feature to effectively triage patients helps reduce the queue of patients waiting for therapy, ensuring that those who need it most receive timely care, while others receive appropriate alternative interventions.

101. The system of claim 100, wherein the voice analysis feature is applicable in both clinical and coaching environments, providing support in recognizing and overcoming cognitive distortions.

102. The system of claim 101, wherein in coaching environments, the voice analysis feature aids personal development and the achievement of specific goals, rather than focusing on treating mental illness.

103. The system of claim 102, wherein coaches use the voice analysis feature to help clients recognize and overcome cognitive distortions that may be hindering their progress.

104. The system of claim 103, wherein the real-time feedback provided by the voice analysis feature enhances the coaching experience and facilitates quicker and more sustained behavior change.

105. The system of claim 104, wherein the voice analysis feature uses automatic speech recognition (ASR) technology to convert spoken words into text in real-time or near realtime.

106. The system of claim 105, wherein the transcriptions of spoken words are then analyzed for cognitive distortions using the machine learning algorithm.

107. The system of claim 106, wherein both the therapist and the patient receive immediate feedback based on the analysis of the transcriptions of the spoken words.WSGR Attorney Docket No. 69178-701.601108. The system of claim 107, wherein the instant analysis and feedback provided by the voice analysis feature directly enhance the effectiveness of the treatment by allowing real-time identification and correction of cognitive distortions during conversation.

109. The system of claim 108, wherein the voice analysis feature provides a detailed analysis of the session’s conversation, helping therapists focus on the most important issues.

110. The system of claim 109, wherein by focusing on the most important issues identified by the voice analysis feature, the overall number of therapy sessions needed may be reduced, making therapy more efficient.

111. The system of claim 110, wherein the increased efficiency of therapy sessions makes therapy more accessible to a larger number of patients.

112. The system of claim 111, wherein the voice analysis feature’s ability to pinpoint specific moments of distortion in the conversation allows therapists to address issues more directly and effectively, ensuring each session is as productive as possible.

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