Timing of content interactions implemented to drive lifestyle and health-related behavioral changes.

Abstract

The computing device may be configured for user interaction with specific timing mechanisms and access rules that may improve the user's readiness for and ultimate success with behavior change efforts, such as quitting smoking, eating healthy, and / or behaviors that promote a healthy pregnancy. The computing device may include a processor that executes an enforcement module under a condition that the user attempts to access the first content interaction module between a first end time on a first due date and a second start time on a second due date, and the user did not attempt to access the first content interaction module between the first start time on the first due date and the first end time on the first due date. The enforcement module may indicate that the first content interaction module is no longer available and that the second content interaction module will be available on the second due date.

Description

Technical Field

[0001] (Cross - reference to Related Applications) This application claims the benefit of U.S. Provisional Patent Application No. 63 / 129,351, filed on December 22, 2020, the content of which is hereby incorporated by reference in its entirety.

Background Art

[0002] The Transtheoretical Model (TTM) provides a conceptual framework for considering how individuals move through successive stages of behavior change. This model has been applied to a wide range of lifestyle and health - related behaviors, including stress, depression, nutrition, physical activity, medication adherence, chronic disease self - management, and preventive medicine.

[0003] For example, TTM has been most notably studied with respect to smoking and smoking cessation efforts. Smoking continues to be one of the major risk factors for many chronic diseases, including cancer, lung disease, and cardiovascular disease. Current smokers range across a broad spectrum of TTM stages, from pre - contemplation (e.g., not interested in quitting within the next six months), to contemplation (e.g., interested in quitting within the next six months but not interested in quitting within the next 30 days), to preparation (e.g., interested in quitting within 30 days). The majority of current smokers are in the pre - contemplation and contemplation stages.

[0004] Technology-based solutions related to lifestyle and health behavior change, such as mobile apps for health behavior change, are often designed to provide full access to comprehensive, long-term programs, often without a clear end date. Furthermore, they tend to have significant daily and long-term time constraints, which increases the burden on users and reduces continued engagement. In particular, technology-based solutions for smoking cessation (e.g., mobile smoking cessation apps) generally do not target smokers in the pre-planning and planning stages. Rather, smoking cessation apps tend to be designed with the ultimate goal of smokers quitting using the app and maintaining their smoke-free status for a certain period after the initial attempt. In many cases, such apps fail to keep smokers engaged throughout this process, resulting in high dropout and early abandonment rates. [Overview of the Initiative] [Means for solving the problem]

[0005] A computing device may be configured for a user to interact with specific timing mechanisms and access rules that can improve the user's attitude toward behavioral change efforts and the ultimate success of those efforts. For example, specific timing mechanisms and access rules may enhance the user's motivation, confidence, and / or readiness in making behavioral change efforts. For example, behavioral change efforts may relate to actions such as quitting smoking (e.g., attempting to quit smoking), eating a healthy diet, and / or actions that promote a healthy pregnancy. A computing device may include a processor that runs an implementation module. The implementation module may be associated with a first content interaction module. The first content interaction module may transition from an inactive state to an active state at a first start time on a first scheduled date. The first content interaction module may be configured to present user activity content in the active state. The first content interaction module may transition from an active state to an inactive state at a first end time on a first scheduled date. The first content interaction module may restrict access to user activity content in the inactive state.

[0006] The implementation module may run on the condition that the user attempted to access the first content interaction module between the first end time of the first scheduled date and the second start time of the second scheduled date, and did not attempt to access the first content interaction module between the first start time of the first scheduled date and the first end time of the first scheduled date. The implementation module may indicate that the first content interaction module is no longer available and that the second content interaction module will be available on the second scheduled date. [Brief explanation of the drawing]

[0007] [Figure 1]For example, this is a system diagram illustrating an exemplary system module of an exemplary computing device designed to improve attitudes toward behavioral change efforts, such as attempting to quit smoking. [Figure 2] This is a timing diagram for an example content interaction module. [Figure 3] This is a system diagram illustrating the exemplary operation of an exemplary system module of an exemplary computing device designed to improve attitudes toward attempts to quit smoking. [Figure 4A] This is an example of a mobile application user interface (UI) illustrating the operation of an exemplary "Day 1" content interaction module. Specifically, Figures 4A to 4I illustrate an exemplary new content interaction module, and Figure 4J illustrates an exemplary follow-up content interaction module. [Figure 4B] This is an example of a mobile application user interface (UI) illustrating the operation of an exemplary "Day 1" content interaction module. Specifically, Figures 4A to 4I illustrate an exemplary new content interaction module, and Figure 4J illustrates an exemplary follow-up content interaction module. [Figure 4C] This is an example of a mobile application user interface (UI) illustrating the operation of an exemplary "Day 1" content interaction module. Specifically, Figures 4A to 4I illustrate an exemplary new content interaction module, and Figure 4J illustrates an exemplary follow-up content interaction module. [Figure 4D]This is an example of a mobile application user interface (UI) illustrating the operation of an exemplary "Day 1" content interaction module. Specifically, Figures 4A to 4I illustrate an exemplary new content interaction module, and Figure 4J illustrates an exemplary follow-up content interaction module. [Figure 4E] This is an example of a mobile application user interface (UI) illustrating the operation of an exemplary "Day 1" content interaction module. Specifically, Figures 4A to 4I illustrate an exemplary new content interaction module, and Figure 4J illustrates an exemplary follow-up content interaction module. [Figure 4F] This is an example of a mobile application user interface (UI) illustrating the operation of an exemplary "Day 1" content interaction module. Specifically, Figures 4A to 4I illustrate an exemplary new content interaction module, and Figure 4J illustrates an exemplary follow-up content interaction module. [Figure 4G] This is an example of a mobile application user interface (UI) illustrating the operation of an exemplary "Day 1" content interaction module. Specifically, Figures 4A to 4I illustrate an exemplary new content interaction module, and Figure 4J illustrates an exemplary follow-up content interaction module. [Figure 4H] This is an example of a mobile application user interface (UI) illustrating the operation of an exemplary "Day 1" content interaction module. Specifically, Figures 4A to 4I illustrate an exemplary new content interaction module, and Figure 4J illustrates an exemplary follow-up content interaction module. [Figure 4I]This is an example of a mobile application user interface (UI) illustrating the operation of an exemplary "Day 1" content interaction module. Specifically, Figures 4A to 4I illustrate an exemplary new content interaction module, and Figure 4J illustrates an exemplary follow-up content interaction module. [Figure 4J] This is an example of a mobile application user interface (UI) illustrating the operation of an exemplary "Day 1" content interaction module. Specifically, Figures 4A to 4I illustrate an exemplary new content interaction module, and Figure 4J illustrates an exemplary follow-up content interaction module. [Figure 5A] This is an example of a mobile application UI illustrating the operation of an exemplary "Day 2" content interaction module. Specifically, Figures 5A to 5F illustrate an exemplary new content interaction module, and Figure 5G illustrates an exemplary follow-up content interaction module. [Figure 5B] This is an example of a mobile application UI illustrating the operation of an exemplary "Day 2" content interaction module. Specifically, Figures 5A to 5F illustrate an exemplary new content interaction module, and Figure 5G illustrates an exemplary follow-up content interaction module. [Figure 5C] This is an example of a mobile application UI illustrating the operation of an exemplary "Day 2" content interaction module. Specifically, Figures 5A to 5F illustrate an exemplary new content interaction module, and Figure 5G illustrates an exemplary follow-up content interaction module. [Figure 5D]This is an example of a mobile application UI illustrating the operation of an exemplary "Day 2" content interaction module. Specifically, Figures 5A to 5F illustrate an exemplary new content interaction module, and Figure 5G illustrates an exemplary follow-up content interaction module. [Figure 5E] This is an example of a mobile application UI illustrating the operation of an exemplary "Day 2" content interaction module. Specifically, Figures 5A to 5F illustrate an exemplary new content interaction module, and Figure 5G illustrates an exemplary follow-up content interaction module. [Figure 5F] This is an example of a mobile application UI illustrating the operation of an exemplary "Day 2" content interaction module. Specifically, Figures 5A to 5F illustrate an exemplary new content interaction module, and Figure 5G illustrates an exemplary follow-up content interaction module. [Figure 5G] This is an example of a mobile application UI illustrating the operation of an exemplary "Day 2" content interaction module. Specifically, Figures 5A to 5F illustrate an exemplary new content interaction module, and Figure 5G illustrates an exemplary follow-up content interaction module. [Figure 6A] This is an example of a mobile application UI illustrating the operation of a representative notification module. [Figure 6B] This is an example of a mobile application UI illustrating the operation of a representative notification module. [Figure 7A] This is an example of a mobile application UI illustrating the operation of a representative notification module. [Figure 7B] This is an example of a mobile application UI illustrating the operation of a representative notification module. [Figure 8A] This is an example of a mobile application UI illustrating the operation of a representative notification module. [Figure 8B]An example of a mobile application UI that illustrates the operation of an exemplary notification module. [Figure 9A] An example of a mobile application UI that illustrates the operation of an exemplary implementation module. [Figure 9B] An example of a mobile application UI that illustrates the operation of an exemplary implementation module. [Figure 10A] An example of a mobile application UI that illustrates the operation of an exemplary content interaction module for improving behaviors for a healthy pregnancy. [Figure 10B] An example of a mobile application UI that illustrates the operation of an exemplary content interaction module for improving behaviors for a healthy pregnancy. [Figure 10C] An example of a mobile application UI that illustrates the operation of an exemplary content interaction module for improving behaviors for a healthy pregnancy. [Figure 11A] An example of a mobile application UI that illustrates the operation of an exemplary notification module for improving behaviors for a healthy pregnancy. [Figure 11B] An example of a mobile application UI that illustrates the operation of an exemplary notification module for improving behaviors for a healthy pregnancy. [Figure 11C] An example of a mobile application UI that illustrates the operation of an exemplary notification module for improving behaviors for a healthy pregnancy. [Figure 12A] An example of a mobile application UI that illustrates the operation of an exemplary content interaction module for improving eating habits. [Figure 12B] An example of a mobile application UI that illustrates the operation of an exemplary content interaction module for improving eating habits. [Figure 12C]This is an example of a mobile application UI illustrating the operation of an exemplary content interaction module for improving eating habits. [Figure 12D] This is an example of a mobile application UI illustrating the operation of an exemplary content interaction module for improving eating habits. [Figure 13] This is a system diagram illustrating an exemplary computing device. [Figure 14] This is a flowchart illustrating an example of a computer implementation method. [Figure 15A] This paper illustrates exemplary results of user interaction with a 14-day smoking cessation program, including, for example, engagement rate and completion rate. [Figure 15B] This paper illustrates exemplary results of user interaction with a 14-day smoking cessation program, including, for example, engagement rate and completion rate. [Modes for carrying out the invention]

[0008] Figure 1 is a system diagram illustrating an exemplary system module of an exemplary computing device 100 for improving the readiness for behavioral change efforts, such as attempting to quit smoking, eating a healthy diet, or engaging in healthy pregnancy behaviors. The computing device 100 may be configured to improve the readiness of a user 101 to ultimately succeed in their behavioral change efforts. The computing device 100 may enable increased user success using exemplary timing mechanisms and exemplary access rules disclosed herein.

[0009] For example, computing device 100, as disclosed herein, may enable a user engagement rate (e.g., compliance) of approximately 90% through the implementation of a 14-day program for smoking cessation. Exemplary timing mechanisms and exemplary access rules disclosed herein may enable a user's attempt to quit smoking to increase, enabling a significant percentage of users (e.g., more than 20% of users) to actually succeed in quitting smoking 30 days after the 14-day device implementation. Computing device 100 may be configured to engage user 101 over any other suitable period to improve their readiness for the attempt to quit smoking.

[0010] The computing device 100 may consist of applications (e.g., executable instructions) that run on the computing device 100. The computing device 100 may be a smartphone (e.g., an iOS phone or an Android phone), a tablet (e.g., an iOS tablet or an Android tablet), a laptop computer, a desktop computer, etc. The applications that run on the computing device 100 may be mobile applications (e.g., running on an iOS device or an Android device), client-server based applications (e.g., running on the computing device 100 in combination with a server computer), web-based applications (e.g., running in a browser on a smartphone, tablet, laptop computer, or desktop computer), or desktop applications (e.g., running on a laptop computer or a desktop computer).

[0011] User 101 may desire behavioral change. For example, User 101 may be a smoker in the intention or pre-intention stage. User 101 may not yet be ready to attempt to quit smoking. A computing device 100 may be introduced to User 101 as part of a smoking cessation intervention to help the user determine whether they are ready to attempt to quit smoking.

[0012] User 101 may interact with the computing device 100 through system modules of the computing device 100, such as a content interaction module 120, a notification module 110, and an enforcement module 130. User 101 may interact with multiple content interaction modules 120, multiple notification modules 110, and / or multiple enforcement modules 130. Multiple content interaction modules 120 may be configured to be specifically associated with a particular user 101 in a multi-user system. Different sets of multiple content interaction modules 120 may be configured to be associated with different users.

[0013] The content interaction module 120 may include one or more user interactions related to behavioral changes, such as quitting smoking. The interactions may include information presented to user 101, information collected from user 101, and / or a combination thereof. For example, the content interaction module may present a thoughtful topic, a concept to be involved, and / or a task for user 101 to complete. The task may be contained within the content interaction itself and / or related to an activity to be completed separately from the content interaction itself.

[0014] The content interaction module 120 may include a new content interaction module 140 and a follow-up content interaction module 150. The new content interaction module 140 and the follow-up content interaction module 150 may be associated with user activity 160. The new content interaction module 140 may precede the follow-up content interaction module 150. The content interaction module 120 may include the new content interaction module 140, but may not include the follow-up content interaction module 150.

[0015] For example, the content interaction module 120 may be configured to include a start time, which could be, for example, a first scheduled date. The content interaction module 120 may also be configured to include an end time, which could be, for example, a second scheduled date.

[0016] While in operation, module 120 may interact with user 101 (for example, only with user 101) between the start time of the first scheduled date and the end time of the second scheduled date. For example, module 120 may be active between the start time of the first scheduled date and the end time of the second scheduled date. In the first embodiment, the first scheduled date and the second scheduled date may be the same day. To illustrate exemplary timing, content interaction module 120 may be configured to have a start time of 12:00 a.m. on October 27, 2020 and an end time of 11:59 p.m. on October 27, 2020. Thus, user 101 may interact with module 120 between 12:00 a.m. and 11:59 p.m. on October 27, 2020 (for example, only interact between 12:00 a.m. and 11:59 p.m. on October 27, 2020).

[0017] In a second embodiment, the first scheduled date and the second scheduled date may be two different days. Herein, for illustrative purposes, the content interaction module 120 may be configured to have a start time of 9:00 a.m. on October 27, 2020 and an end time of 9:00 a.m. on October 28, 2020. Thus, user 101 may interact with module 120 between 9:00 a.m. on October 27, 2020 and 9:00 a.m. on October 27, 2020 (for example, only interact between 9:00 a.m. on October 27, 2020 and 9:00 a.m. on October 27, 2020).

[0018] The content interaction module 120 may be configured to include an indicator of active or inactive status. The status indicator may have an inactive system default. While operating, module 120 may be active during the period between the start time of a first scheduled date and the end time of a second scheduled date ("active state period"). Module 120 may be inactive outside of the active state period.

[0019] Multiple content interaction modules 120 can be configured to interact with the user 101 according to a schedule. The schedule can be configured so that only one module can be active at a time.

[0020] Figure 2 is a timing diagram of an exemplary content interaction module. An exemplary schedule 200 may be associated with multiple content interaction modules (such as module 120). There are modules up to the Nth content interaction module 250, including the first content interaction module 210, the second content interaction module 220, the third content interaction module 230, the fourth content interaction module 240, and so on. Each module is associated with other dates in chronological order, namely day 1, day 2, day 3, day 4, ... and up to day N.

[0021] Each of these modules may be configured to be inactive by system default. For example, modules 210, 220, 230, 230, 240, and the other modules up to module 250 are configured to be inactive by system default.

[0022] Each of such modules can be scheduled to transition to an active state at the start of a scheduled date. For example, modules 210, 220, 230, 240, and up to module 250 are scheduled to transition from an inactive state to an active state at the start of other dates up to day 1, day 2, day 3, day 4, and day N, respectively, under a timeline, e.g., system time 201 of computing device 100.

[0023] Each of these modules may be scheduled to transition to an inactive state at the end of the same scheduled day. For example, module 210 is scheduled to transition to an inactive state at the end of day 1 and remain inactive from day 2 to day N. Modules 220, 230, 240, and up to module 250 are shown to be scheduled for their corresponding transitions.

[0024] While a module is in an active state, the remaining modules may remain inactive. For example, during the period of day 1 between the start and end times, module 210 is active, while modules 220, 230, 240, and up to module 250 remain inactive. The corresponding system actions are shown to be configured for other days up to day 2, day 3, day 4, and day N.

[0025] In Schedule 200, dates can be consecutive days. For example, the content interaction module 120 shown in Figures 4A-4J and 5A-5G can be scheduled over two consecutive days. Dates may be spaced out in a repeating pattern, such as every other day or every Tuesday. Dates may also be spaced out in any other pattern. Dates may also be spaced out without any pattern, for example.

[0026] The start times of multiple content interaction modules 120 scheduled to interact with user 101 can be the same time for each of them. For example, the content interaction modules 120 shown in Figures 4A-4J and 5A-5G may be scheduled to start at 12:00 a.m. on each of two consecutive days.

[0027] The end times for such multiple content interaction modules 120 can be the same time each on the corresponding day. For example, the content interaction modules 120 shown in Figures 4A-4J and 5A-5G may be scheduled to end at 11:59 p.m. on each of two consecutive days.

[0028] Referring to Figure 1, a new content interaction module 140 that may be included in the content interaction module 120 is shown. Figures 4A to 4I and 5A to 5F illustrate such a new content interaction module. The new content interaction module 140 may be configured to include a corresponding start time for a scheduled date and a corresponding end time for a second scheduled date. For example, the new content interaction module 140 may be configured to include a start time for a first scheduled date of 12:00 a.m. on October 27, 2020, and an end time for a second scheduled date of 4:59 p.m. on October 27, 2020. Under such a configuration, the first and second scheduled dates for module 140 are configured to be the same day.

[0029] The follow-up content interaction module 150 may be included in the content interaction module 120. Figures 4J and 5G illustrate such a follow-up content interaction module. The follow-up content interaction module 150 may be configured to include a corresponding start time for a first scheduled date and a corresponding end time for a second scheduled date. The follow-up content interaction module 150 may be configured to include a corresponding start time for a first scheduled date of 5:00 p.m. on October 27, 2020, and an end time for a second scheduled date of 11:59 p.m. on October 27, 2020. Under such a configuration, the first scheduled date and the second scheduled date for module 150 are configured to be the same day.

[0030] Under such a configuration, the end time of module 140 approaches and precedes the start time of module 150. The end time of module 140 may also be configured to precede the start time of module 150 by a time gap, for example, 5:00 p.m. on October 27, 2020.

[0031] Therefore, under such a configuration, the start date and time of module 120 may be the start date and time of module 140, i.e., 12:00 a.m. on October 27, 2020. The end date and time of module 120 may be the end date and time of module 150, i.e., 11:59 p.m. on October 27, 2020.

[0032] Module 140 may also include a corresponding inactive or active status indicator. Module 150 may also include a corresponding inactive or active status indicator.

[0033] The implementation module 130 may be associated with the content interaction module 120. Module 130 may be configured to implement content interaction rules for module 120. User 101 may access a content module in an active state. User 101 may be prevented from accessing a content module in an inactive state.

[0034] The implementation module 130 may be configured to implement content interaction rules, particularly for new content interaction modules 140 which may be included in the content interaction module 120, and / or for follow-up content interaction modules 150 which may be included in the content interaction module 120. The content interaction rules may be implemented according to the desired overall implementation effect.

[0035] In one exemplary rule, if user 101 misses accessing module 140 between its scheduled start and end times on the same day, for example, user 101 may be prevented from accessing module 140 after its end time. In this embodiment, module 130 may detect such an attempt by user 101 and determine that user 101 should not navigate to module 140. As shown in Figure 9A or Figure 9B, module 130 may present a message notifying user 101 that it has missed a scheduled user activity, and the user may then access the user activity for the next scheduled day. In this embodiment, module 130 may allow user 101 to access module 150.

[0036] In another exemplary rule, if user 101 fails to access module 140 between its start and end times, for example, on the same day, user 101 may be prevented from accessing the entire content interaction module 120. That is, user 101 is not only prevented from accessing module 140 in such a case, but is also prevented from accessing module 150 through the start time of the next scheduled content interaction module 120. For example, even if user 101 attempts to access module 150 before its end time, user 101 is still prevented from accessing module 150.

[0037] In another exemplary rule, if user 101 misses accessing module 140 between its start and end times, for example, on the same day, user 101 is permitted to access module 140 until its end time. Similarly, if user 101 misses accessing module 150 between its start and end times, for example, on the same day, user 101 is permitted to access module 150 until its end time. In such embodiments, if user 101 does not access module 140 before its start time, user 101 may be prevented from accessing module 150 until user 101 accesses module 140 (even if module 150 is in an active state).

[0038] Notification module 110 may be associated with a new content interaction module 140. Module 110 may be configured to send a notification to a user 101 associated with a content interaction module 120 containing module 140, warning the user 101 to access module 140 ("trigger"). The notification may be sent at a predetermined alert time associated with module 140, for example, at the start time of module 140, or at a time between the start and end times of module 140. The predetermined alert time may be defined by the user 101.

[0039] The notification may present a message designed to capture the user 101's attention and interest and initiate engagement with the associated new content interaction module 140. For example, Figures 6A and 6B illustrate alert notification messages corresponding to the new content interaction modules 140 illustrated in Figures 4A-4I and 5A-5F, respectively.

[0040] Notification module 110 may be associated with follow-up content interaction module 150. Module 110 may be configured to send a notification to a user 101 associated with a content interaction module 120 containing module 150, thereby triggering access to module 150 ("trigger"). The notification may be sent at a predetermined alert time associated with the module, for example, at the start time of module 150, or at the time between the start and end times of module 150.

[0041] The notification may present a message designed to capture the user 101's attention and interest and initiate engagement with the associated follow-up content interaction module 150. For example, Figures 7A and 7B illustrate alert notification messages corresponding to the follow-up content interaction module 150 illustrated in Figures 4J and 5G, respectively.

[0042] The notification module 110 may also be configured to send a notification to user 101 to remind user 101 to access module 150.

[0043] Figure 3 is a system diagram illustrating the timing of the operation of key system modules in an exemplary computing device for improving readiness for smoking cessation attempts. On a timeline represented by system time 201 (for example, associated with computing device 100), 320 on system time 201 indicates the start of day 1 (for example, 12:00 a.m. on day 1). 302 on system time 201 indicates the start time of 140 for the first new-content-interaction (NCI) module. 304 on system time 201 indicates the end time of 140 for the first NCI module. 306 on system time 201 indicates the start time of 150 for the first follow-up-content-interaction (FCI) module. 308 on system time 201 indicates the end time of 150 for the first follow-up-content-interaction (FCI) module.

[0044] In step 302, the first NCI module 140 transitions from an inactive state (e.g., system default) to an active state 380. Also in step 350, in step 302, the notification module 110 associated with the first NCI module 140 sends an alert notification to user 101. In this embodiment, user 101 does not respond to the notification in step 302.

[0045] At a time prior to 304 on system time 201, in step 354, the notification module 110 associated with the first NCI module 140 sends a reminder notification to user 101. User 101 does not respond to the notification again.

[0046] In step 304, the first NCI module transitions from an active state to an inactive state.

[0047] After step 304 and before step 306, user 101 attempts to access the first NCI module 140, which is in an inactive state, in step 356. Because it is in an inactive state, in step 358, the first NCI module 140 redirects user 101's access attempt to an enforcement module 130 associated with the first content interaction module 120 (not shown), which contains the first NCI module 140. In such embodiments, the enforcement module 130 is configured to enforce content interaction rules for the first content interaction module 120 based solely on the first NCI module 140, as described in Figure 1. In step 360, after detecting the attempted access, the enforcement module 130 presents a message (for example, the message shown in Figures 9A and 9B).

[0048] In 306, the first FCI module 150 transitions from an inactive state (e.g., system default) to an active state 382.

[0049] Sometime after 306 and before 308, in step 374, user 101 attempts to access the first FCI module 150, which is in an active state. As described herein, the implementing module is configured to enforce content interaction rules for the first content interaction module 120 based solely on the first NCI module 140. If the first NCI module 140 is in an inactive state, user 101 is prevented from accessing the first FCI module 150, even if the first FCI module 150 is in an active state. Therefore, in step 376, the first FCI module 150 redirects user 101's access attempt to the implementing module 130. After detecting the attempted access, in step 378, the implementing module 130 presents a message (for example, the message shown in Figures 9A and 9B).

[0050] In 308, the first FCI module 150 transitions from an active state to an inactive state without being accessed by user 101.

[0051] 322 on system time 201 indicates the start of day 2 (for example, 12:00 AM on day 2). 310 on system time 201 indicates the start time of 140 for the second New Content Interaction (NCI) module. 312 on system time 201 indicates the end time of 140 for the second NCI module. 314 on system time 201 indicates the start time of 150 for the second Follow-up Content Interaction (FCI) module. 316 on system time 201 indicates the end time of 150 for the second Follow-up Content Interaction (FCI) module.

[0052] In step 310, the second NCI module 140 transitions from an inactive state (e.g., system default) to an active state 384. Also in step 310, in step 362, the notification module 110 associated with the second NCI module 140 sends an alert notification to user 101. In step 364, user 101 responds to the notification by accessing the second NCI module 140. In response, in step 366, the second NCI module presents content related to user activity associated with the second NCI module 140 and the second FCI module 150.

[0053] In step 312, the second NCI module transitions from an active state to an inactive state.

[0054] In step 314, the second FCI module 150 transitions from an inactive state (e.g., system default) to an active state 386. Also in step 310, in step 368, the notification module 110 associated with the second FCI module 140 sends an alert notification to user 101. In step 370, user 101 responds to the notification by accessing the second NCI module 140. In response, in step 372, the second NCI module 140 presents content related to user activity associated with the second NCI module 140 and the second FCI module 150.

[0055] At 316, the second FCI module 150 transitions from an active state to an inactive state.

[0056] Figures 4A–4J illustrate an example of a mobile application user interface (UI) for the operation of an exemplary content interaction module 120 of an exemplary computing device 100 to improve the user's attitude toward quitting smoking. Module 120 interacts with user 101 regarding the user's motivation and reasons for smoking. Figures 4A–4I illustrate an exemplary novel content interaction module 140 included in module 120. Figure 4J also illustrates an exemplary follow-up content interaction module 150 included in module 120. Module 140, shown in Figures 4A–4F, presents user 101 with a series of survey questions about what user 101 likes or enjoys regarding smoking. In this way, module 140 engages user 101 in performing “actions,” i.e., user activities 160 that answer questions related to user 101’s motivation and reasons for smoking. Module 140 also presents images of unexpected smokers in Figures 4G–4I. These images can function as a psychological "reward" (for example, due to their unexpected nature) for the actions taken by user 101 in user activity 160. The reward, through the implicit promise of future rewards, fosters user 101's attachment to computing device 100. In this way, user 101's engagement with computing device 100 is enhanced.

[0057] The exemplary new content interaction module 140 shown in Figures 4A to 4I may be configured to run in the morning of a day, and the exemplary follow-up content interaction module 150 shown in Figure 4J may be configured to run in the evening of the same day. Figure 4J illustrates a review by user 101 of user activity 160 performed by user 101 earlier in the day. Modules 140, as shown in Figures 4A to 4I, and module 150, as shown in Figure 4J, may also be configured to run both in the morning of the same day, or both in the evening of the same day, without any time difference. Modules 140 and 150 may also be configured to run consecutively at any predetermined time of day, without any time difference between them. Modules 140 and 150 may also be configured to run on two different days, such as two consecutive days, or a period of one or more days between two different days.

[0058] Figures 5A to 5J illustrate an example of a mobile application user interface (UI) for the operation of an exemplary content interaction module 120 of an exemplary computing device 100 to improve attitudes toward attempts to quit smoking. Module 120 interacts with user 101 regarding the user's dependence on nicotine.

[0059] Figures 5A–5F illustrate an exemplary novel content interaction module 140 included in module 120. Figure 5G illustrates an exemplary follow-up content interaction module 150 included in module 120. Module 140, as illustrated in Figures 5A–5B, presents the Fagelström test. Figures 5C–5D illustrate the user's Fagelström test score and relevant recommendations presented to user 101 based on user 101's responses. In this way, module 140 engages user 101 in performing an action, namely user activity 160, which involves answering questions about user 101's dependence on nicotine. Figures 5D–5F illustrate module 140 presenting additional resources related to nicotine replacement treatment (NRT) recommendations. These resources may function as a psychological reward for the action user 101 has just performed. Figure 5G illustrates an exemplary follow-up content interaction module 150 in which a review with user 101 of user activity 160 performed by user 101 is presented.

[0060] Figures 6A to 8B illustrate an example of a mobile application UI illustrating the operation of an exemplary notification module in an exemplary computing device to improve readiness for attempts to quit smoking. For example, notification module 110 may be associated with a new content interaction module 140. The notification may present a message designed to capture the user's attention and interest and initiate engagement with the associated new content interaction module 140. For example, Figures 6A and 6B illustrate alert notification messages corresponding to the new content interaction module 140 illustrated in Figures 4A to 4I and Figures 5A to 5F, respectively.

[0061] For example, notification module 110 may be associated with follow-up content interaction module 150. Here, the notification may present a message designed to capture the user 101's attention and interest and initiate engagement with the associated follow-up content interaction module 150. For example, Figures 7A and 7B illustrate alert notification messages corresponding to the follow-up content interaction module 150 illustrated in Figures 4J and 5G, respectively.

[0062] Figures 8A and 8B illustrate an exemplary notification module 110 that may be associated with a new content interaction module 140 and / or a follow-up content interaction module 150.

[0063] Figures 9A and 9B show an example of a mobile application UI illustrating the operation of an exemplary implementer module for an exemplary computing device to improve readiness for smoking cessation attempts. The implementer module 130 may be configured to enforce content interaction rules, particularly for the new content interaction module 140 and / or the follow-up content interaction module 150. The implementer module 130 may explain specific timing and access rules to the user 101. The implementer module 130 may associate the user 101 with the feeling of missing content, thereby encouraging improved user compliance with the proper operation of the computing device 100 and the corresponding mobile application. For example, the implementer module 130 may include a user message indicating that the user will miss out on the experience of the content interaction module 120's activities by failing to comply with the access rules.

[0064] Figures 10A to 10C illustrate an example of a mobile application user (UI) illustrating the operation of an exemplary content interaction module 120 for improving behaviors for a healthy pregnancy. Module 120 can interact with user 101 regarding sleep-related behaviors. Figures 10A and 10B illustrate an exemplary novel content interaction module 140 included in module 120. Figure 10C illustrates an exemplary follow-up content interaction module 150 included in module 120. Module 140, shown in Figures 10A and 10B, presents user 101 with questions regarding sleep goals and suggests several activities that user 101 can try to achieve those goals. In the embodiment, if user 101 chooses to try deep breathing, as shown in Figure 10C, module 150 follows up and inquires about the effect of deep breathing on user 101. In this way, modules 140 and 150 involve user 101 in performing an “action,” namely, user activity 160, which involves attempting to take deep breaths while user 101 is engaged with the computing device. Such an action and its associated effects on user 101 may motivate user 101 to perform user activity 160, which involves attempting to take deep breaths away from modules 140 and 150 (for example, when user 101 is not engaged with the computing device 101). Module 150 also provides resources on stress relief products and displays images of people sleeping. Such resources may function as a psychological reward for the action that user 101 has just performed.

[0065] Figures 11A–11C illustrate an example of a mobile application UI illustrating the operation of an exemplary notification module to improve behaviors for a healthy pregnancy. For example, notification module 110 may be associated with a new content interaction module 140 and a follow-up content interaction module 150. The notification may present a message designed to capture the user's attention and interest and initiate engagement with the associated modules 140 and 150. For example, Figure 11A illustrates an alert notification message (e.g., outside the mobile application UI) corresponding to modules 140 and 150 illustrated in Figures 10A–10C. Figure 11B illustrates an alert notification message (e.g., within the mobile application UI) corresponding to modules 140 and 150 illustrated in Figures 10A–10C. Figure 11C illustrates an alert notification message for the next content module 120 (e.g., scheduled to launch the day after content module 120 shown in Figures 10A–10C).

[0066] Figures 12A to 12D are examples of a mobile application UI illustrating the operation of exemplary content interaction modules for improving eating habits. Module 120 can interact with user 101 regarding user 101's eating habits. Figures 12A to 12C illustrate an exemplary novel content interaction module 140 included in module 120. Figure 12D illustrates an exemplary follow-up content interaction module 150 included in module 120. Module 140, shown in Figures 12A and 12B, presents user 101 with a question. In this way, module 140 involves user 101 in performing an action, namely user activity 160 to understand the user's eating habits. Module 140 also involves user 101 in user activity 160 to share their commitment with others. Module 150, shown in Figure 12D, prompts user 101 regarding their actions.

[0067] Figure 13 is a system diagram illustrating an exemplary computing device 105 for improving readiness for attempts to quit smoking. As shown in Figure 13, the computing device 105 may include, among other things, a processor 118, a transceiver 121, a transmit / receive element 121, a speaker / microphone 124, a keypad 126, a display / touchpad 128, non-removable memory 131, removable memory 132, a power supply 134, a Global Positioning System (GPS) chipset 136, and / or other peripherals 138. It will be understood that the computing device 105 may include any partial combination of the aforementioned elements while maintaining consistency with the embodiment.

[0068] The processor 118 may be a general-purpose processor, a dedicated processor, a conventional processor, a digital signal processor (DSP), multiple microprocessors, one or more microprocessors associated with a DSP core, a controller, a microcontroller, an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) circuit, any other type of integrated circuit (IC), a state machine, and the like. The processor 118 may perform signal coding, data processing, power control, input / output processing, and / or any other functions that enable the computing device 105 to operate in a wireless environment. The processor 118 may be coupled to a transceiver 121 which may be coupled to a transmit / receive element 121. Although Figure 13 depicts the processor 118 and transceiver 121 as separate components, it will be understood that the processor 118 and transceiver 121 may be integrated together in an electronic package or chip.

[0069] The transmit / receive element 121 may be configured to transmit signals to or receive signals from a base station over the air interface 116. For example, in one embodiment, the transmit / receive element 121 may be an antenna configured to transmit and / or receive RF signals. In another embodiment, the transmit / receive element 121 may be an emitter / detector configured to transmit and / or receive, for example, IR, UV, or visible light signals. In yet another embodiment, the transmit / receive element 121 may be configured to transmit and / or receive both RF signals and optical signals. It will be understood that the transmit / receive element 121 may be configured to transmit and / or receive any combination of wireless signals.

[0070] The processor 118 of the computing device 105 may be coupled to a speaker / microphone 124, a keypad 126, and / or a display / touchpad 128 (e.g., a liquid crystal display (LCD) display unit or an organic light-emitting diode (OLED) display unit) and may receive user input data from them. The processor 118 may also output user data to the speaker / microphone 124, the keypad 126, and / or the display / touchpad 128. In addition, the processor 118 may access information from any type of suitable memory, such as non-removable memory 131 and / or removable memory 132, and store data therein. The non-removable memory 131 may include random-access memory (RAM), read-only memory (ROM), a hard disk, or any other type of memory storage device. The removable memory 132 may include a subscriber identity module (SIM) card, a memory stick, a secure digital (SD) memory card, and similar. In other embodiments, the processor 118 may access information from memory that is not physically located on the computing device 105, such as on a server or home computer (not shown), and store data in memory.

[0071] The processor 118 may receive power from a power supply 134 and may be configured to distribute and / or control power to other components within the computing device 105. The power supply 134 may be any suitable device for supplying power to the computing device 105. For example, the power supply 134 may include one or more dry cell batteries (e.g., nickel-cadmium (NiCd), nickel-zinc (NiZn), nickel-metal hydride (NiMH), lithium-ion (Li-ion), etc.), solar cells, fuel cells, and the like.

[0072] The processor 118 may also be coupled to a GPS chipset 136 which may be configured to provide location information (e.g., longitude and latitude) about the current location of the computing device 105. In addition to, or instead of, information from the GPS chipset 136, the computing device 105 may receive location information from base stations on the air interface 116 and / or determine its location based on the timing of signals received from two or more nearby base stations. It will be understood that the computing device 105 may acquire location information by any suitable location determination method while maintaining consistency with the embodiments.

[0073] The processor 118 may be further coupled to other peripherals 138, which may include one or more software modules and / or hardware modules that provide additional features, functions, and / or wired or wireless connectivity. For example, peripherals 138 may include an accelerometer, an electronic compass, a satellite transceiver, a digital camera (for photography and / or video), a universal serial bus (USB) port, a vibration device, a television transceiver, a hands-free headset, a Bluetooth® module, a frequency modulated (FM) radio unit, a digital music player, a media player, a video game player module, an internet browser, a virtual reality and / or augmented reality (VR / AR) device, an activity tracker, and the like. The peripheral device 138 may include one or more sensors, which may be one or more of the following: a gyroscope, accelerometer, Hall effect sensor, magnetometer, compass sensor, proximity sensor, temperature sensor, time sensor, geolocation sensor, altimeter, light sensor, touch sensor, magnetometer, barometer, gesture sensor, biosensor, and / or humidity sensor.

[0074] Figure 14 is a flowchart illustrating an exemplary computer implementation method 1400 for improving readiness for smoking cessation attempts through a series of chronologically scheduled content interactions. In 1410, method 1400 may present the first user activity content between the first start time and the first end time of the first scheduled day (i.e., when the first user activity content is active). Method 1400 may also present the first user activity content between the third start time and the third end time of the first scheduled day, and between the fourth start time and the fourth end time of the first scheduled day. In this case, the third start time of the first scheduled day is the same as the first start time of the first scheduled day, and the fourth end time of the first scheduled day is the same as the first end time of the first scheduled day.

[0075] In 1420, method 1400 may restrict access to the first user activity content at the first end time of the first scheduled date (i.e., after the first user activity content has transitioned to an inactive state). In 1430, method 1400 may present second user activity content between the second start time of the second scheduled date and the second end time of the second scheduled date, which is after the first scheduled date.

[0076] In 1440, method 1400 may detect that a user is attempting to access first user activity content between the first end time of the first scheduled date and the second start time of the second scheduled date. In 1450, in response to the detection, method 1400 may indicate to the user that the first user activity is no longer available, provided that the first user activity was not accessed between the first start time of the first scheduled date and the first end time of the first scheduled date.

[0077] In 1440, method 1400 may further detect that the user is attempting to access the first user activity content between the third end time and the fourth end time of the first scheduled date. In 1450, in response to the detection, method 1400 may indicate that the first content interaction module is no longer available and that the second content interaction module will be available on the second scheduled date.

[0078] Method 1400 may send an alert notification message to warn the user to access the first content interaction module at a predetermined time before the first end time of the first content interaction module. In such a case, the predetermined time may be the first start time of the first content interaction module or a time after the first start time of the first content interaction module.

[0079] Method 1400 may send a reminder notification message to the user to remind them to access the first content interaction module at a predetermined time, provided that the user failed to access the first content interaction module between a predetermined time before the first start time and the first end time of the first content interaction module.

[0080] Figures 15A and 15B illustrate exemplary results (e.g., engagement rate and completion rate, respectively) of user interaction with a 14-day program implementation for smoking cessation (e.g., using computing device 100). In this embodiment, 111 users 101 participated in the 14-day program. The program had high engagement / completion rates, resulting in stronger user motivation, greater confidence, and a more complete readiness to quit smoking, with a dramatic increase in the transition from the pre-intention or intention phase to the readiness or action phase.

[0081] Figure 15A illustrates the user engagement rate in a 14-day program. The illustrated engagement rate relates to user interaction in the mornings (mornings) over the 14 days. Users participate in the 14-day program, particularly through the new content interaction module 140 which is launched in the mornings. Chart 1500 includes axes 1510 and 1520. Axis 1510 represents the last day that user 101 participated in the program. For example, if user 101 last participated on the first day of the program, it is represented as a value of 1 on axis 1510. If user 101 last participated on the 14th day of the program, it is represented as a value of 14 on axis 1510. Axis 1520 shows the number of days that user 101 was involved in the program. For example, if user 101 was involved in the program for one day out of the 14 days, it is represented as a value of 1 on axis 1520. If user 101 was involved with the program for 14 days out of a 14-day period, this is represented as a value of 14 on axis 1520.

[0082] Chart 1500 is further illustrated through Counts 1530 and 1540. Count 1530 represents the total number of users who participate in the program over a number of days that can range from 1 to 14 days. For example, as illustrated, there are 79 users, 14 users, 5 users, 4 users, and 2 users who participated in the program for 14 days, 13 days, 12 days, 11 days, and 10 days, respectively. Count 1540 represents the total number of users who last participated in the program for 14 days on each of the 14 days. For example, as illustrated, there are 104 users who last participated in the program on the 14th day (totaling 79, 14, 5, 4, and 2).

[0083] In this 14-day program, 97% (108 / 111) of users 101 completed 10 or more morning sessions. Furthermore, 71% (79 / 111) of users 101 completed 14 morning sessions. The technological innovations disclosed herein (including, for example, computing device 100) generally account for such positive engagement rates.

[0084] Figure 15B illustrates the user completion rate in a 14-day program. The illustrated completion rate relates to user interactions in the mornings (mornings) over the 14 days. Users participate in the 14-day program, particularly through a new content interaction module 140 that is launched in the mornings. Chart 1550 includes axes 1560 and 1570. Axis 1560 represents the number of days in the 14-day period. For example, a value of 1 represents day 1 of the 14 days. Axis 1570 represents the completion rate / engagement rate for each day of the 14 days. The completion rate / engagement rate represents the percentage of 111 users 101 who completed the interaction in the morning. In this 14-day program, more than 90% of users 101 completed the interaction in the mornings of each day of the 14 days. The technological innovations disclosed herein (including, for example, computing device 100) generally contribute to such positive completion rates.

[0085] As described herein, current smokers fall into a wide range of TTM stages, from pre-intention (e.g., not interested in quitting smoking within the next 6 months) to intention (e.g., interested in quitting smoking within the next 6 months but not interested in quitting within the next 30 days) to readiness (e.g., interested in quitting smoking in the next 30 days). The action stage may follow the readiness stage. The action stage represents the stage at which a former smoker has quit smoking in the past 6 months. The maintenance stage may follow the action stage. The maintenance stage represents the stage at which a former smoker has quit smoking more than 6 months ago.

[0086] An exemplary test of the effectiveness of a program implementing a computing device 100 may include 111 users 101 (intervention participants) and 187 control participants. Control participants are those who do not interact with the 14-day program implementation for smoking cessation via the computing device 100. The 111 intervention participants and 187 control participants are current smokers who were in the pre-intention or intention stage prior to the exemplary test. The test may indicate whether such a program is likely to encourage users to move from the pre-intention or intention stage to the prepared or action stage. In this exemplary test, by day 15 (e.g., one day after the end of the 14-day program), 31% of intervention participants had moved to the prepared stage, while only 10% of control participants made the same move. By day 45, 63% of intervention participants had moved to either the prepared stage (40%) or the action stage (23%). On the other hand, by day 45, only 19% of control participants had moved to the prepared stage and only 3% had moved to the action stage (totaling 22%).

[0087] As illustrated by this exemplary test, a 14-day program implementation for smoking cessation (e.g., the program implementing the computing device 100 described herein) is dramatically more effective in moving current smokers through a series of stages of change and transitioning them to smoking cessation. Even without offering a specific smoking cessation program at the end of the 14 days, by day 45, current smokers were nearly eight times more likely to quit smoking (3% vs. 23%).

[0088] In this exemplary test, motivation, confidence, and readiness for smoking cessation attempts also improved. Before the test, the average ratings for motivation, confidence, and readiness (e.g., on a scale of 1-10) for control participants were 6.52, 5.62, and 6.16, respectively. For intervention participants, their average ratings for motivation, confidence, and readiness were 6.84, 5.99, and 6.68, respectively. On day 14, the average ratings for motivation, confidence, and readiness for control participants were 6.49, 5.80, and 6.12, respectively. For intervention participants, their average ratings for motivation, confidence, and readiness were 7.81, 6.94, and 7.27, respectively. On day 45, the average ratings for motivation, confidence, and readiness for control participants were 6.12, 5.68, and 5.95, respectively. For intervention participants, their average ratings for motivation, confidence, and readiness were 7.33, 6.79, and 6.82, respectively.

[0089] Engagement / completion rates are high, phase transitions are dramatic, and motivation, confidence, and readiness are strong. The devices and technical methods disclosed herein may represent a significant improvement in the operation and effectiveness of smoking cessation devices. Furthermore, this technological advancement in device operation may lead to better health outcomes for users.

[0090] [Implementation Method] (1) A computing device for improving readiness for smoking cessation attempts through a plurality of time-series scheduled content interaction modules, wherein the computing device is A processor is provided, and the processor is This involves executing the first content interaction module associated with the user, The first content interaction module is configured to transition from an inactive state to an active state at a first start time on a first scheduled date, the first start time on the first scheduled date is associated with the first content interaction module, and the first content interaction module is configured to present user activity content in the active state. The first content interaction module transitions from the active state to the inactive state at the first end time of the first scheduled date, the first end time of the first scheduled date is associated with the first content interaction module, and the first content interaction module is configured to restrict access to the user activity content in the inactive state, and this is performed. Executing a second content interaction module associated with the user having a second start time corresponding to a second scheduled date, wherein the second scheduled date is after the first scheduled date associated with the first content interaction module. The system is configured to execute an implementation module associated with the first content interaction module if the user attempts to access the first content interaction module between the first end time of the first scheduled date and the second start time of the second scheduled date, and the first content interaction module is not accessed between the first start time of the first scheduled date and the first end time of the first scheduled date. A computing device in which the implementation module indicates that the first content interaction module is no longer available and that the second content interaction module will be available on the second scheduled date. (2) A computing device for improving readiness to quit smoking via a plurality of time-series scheduled content interaction modules as described in Embodiment 1, wherein the first start time of the first content interaction module is the same as the second start time of the second content interaction module. (3) A computing device for improving readiness to quit smoking via a plurality of sequentially scheduled content interaction modules as described in Embodiment 1, wherein the first scheduled date for the first content interaction module and the second scheduled date for the second content interaction module are two consecutive days. (4) A computing device for improving readiness for smoking cessation attempts via a plurality of time-scheduled content interaction modules as described in Embodiment 1, wherein the first content interaction module includes a first novel content interaction module and a first follow-up content interaction module. (5) The first content interaction module includes a first new content interaction module and a first follow-up content interaction module, wherein the first new content interaction module is associated with a third start time and a third end time of the first scheduled date, and the first follow-up interaction module is associated with a fourth start time and a fourth end time of the first scheduled date. A computing device for improving readiness for smoking cessation attempts via a plurality of time-scheduled content interaction modules as described in Embodiment 1, wherein the first start time of the first content interaction module is configured to be the same as the third start time of the first new content interaction module, and the first end time of the first content interaction module is configured to be the same as the fourth end time of the first follow-up content interaction module.

[0091] (6) The first content interaction module includes a first new content interaction module and a first follow-up content interaction module, wherein the first new content interaction module is associated with a third start time and a third end time of the first scheduled date, and the first follow-up interaction module is associated with a fourth start time and a fourth end time of the first scheduled date. The first start time of the first content interaction module is configured to be the same as the third start time of the first new content interaction module, and the first end time of the first content interaction module is configured to be the same as the fourth end time of the first follow-up content interaction module. The processor is further configured to execute the implement module when the user attempts to access the first new content interaction module between the third end time of the first new content interaction module and the first end time of the first new content interaction module, and the user fails to access the first new content interaction module between the third start time and the third end time. A computing device for improving readiness for smoking cessation attempts via a plurality of chronologically scheduled content interaction modules as described in Embodiment 1, wherein the implementation module indicates that the first content interaction module is no longer available and that the second content interaction module will be available on the second scheduled date. (7) The processor The notification module is further configured to perform the following: execute a notification module, wherein the notification module is configured to send an alert notification message to the user warning the user to access the first content interaction module at a predetermined time before the first end time of the first content interaction module; A computing device for improving readiness to quit smoking via a plurality of time-scheduled content interaction modules according to Embodiment 1, wherein the predetermined time is one of the first start time of the first content interaction module or a time after the first start time of the first content interaction module. (8) The processor A computing device for improving readiness for quitting smoking via a plurality of chronologically scheduled content interaction modules as described in Embodiment 1, further configured to perform the following: run a notification module, wherein the notification module is configured to send a reminder notification message to the user reminding the user to access the first content interaction module at a predetermined time between the first start time of the first content interaction module and the first end time of the first content interaction module, provided that the user failed to access the first content interaction module at the predetermined time. (9) A computer implementation method for improving attitudes toward attempts to quit smoking through multiple time-series scheduled content interactions, Presenting a first user activity content between the first start time of the first scheduled date and the first end time of the said first scheduled date, Restricting access to the first user activity content at the first end time of the first scheduled date, Presenting second user activity content between the second start time and the second end time of the second scheduled date, wherein the second scheduled date is after the first scheduled date. To detect that the user is attempting to access the first user activity content between the first end time of the first scheduled date and the second start time of the second scheduled date, A computer implementation method comprising, in response to the detection, indicating that the first user activity is no longer available on the condition that the first user activity was not accessed between the first start time and the first end time of the first scheduled date. (10) Presenting first user activity content between the first start time of the first scheduled date and the first end time of the first scheduled date, The presenting of the first user activity content between the third start time and the third end time of the first scheduled date, and between the fourth start time and the fourth end time of the first scheduled date, further includes presenting, A computer implementation method for improving readiness to quit smoking through a plurality of chronologically scheduled content interactions according to Embodiment 9, wherein the third start time of the first scheduled day is the same as the first start time of the first scheduled day, and the fourth end time of the first scheduled day is the same as the first end time of the first scheduled day.

[0092] (11) Detecting that the user is attempting to access the first user activity content between the third end time and the fourth end time of the first scheduled date, A computer implementation method for improving readiness for smoking cessation attempts through a plurality of time-scheduled content interactions according to Embodiment 10, further comprising indicating, in response to the detection, that the first content interaction module is no longer available and that the second content interaction module will be available on the second scheduled date. (12) Further including sending an alert notification message to the user at a predetermined time before the first end time of the first content interaction module, warning the user to access the first content interaction module, A computer implementation method for improving readiness to quit smoking through a plurality of chronologically scheduled content interactions according to Embodiment 9, wherein the predetermined time is one of the first start time of the first content interaction module or a time after the first start time of the first content interaction module. (13) A computer implementation method for improving readiness to quit smoking through a plurality of time-scheduled content interactions according to Embodiment 9, further comprising sending a reminder notification message to the user to remind the user to access the first content interaction module during a predetermined time between the first start time of the first content interaction module and the first end time of the first content interaction module, provided that the user failed to access the first content interaction module during the predetermined time. (14) A computing device that changes health behavior through a plurality of time-series scheduled content interaction modules, wherein the computing device A processor is provided, and the processor is The system is configured to execute an implementation module associated with the first content interaction module if the user attempts to access the first content interaction module between the first end time of the first scheduled date and the second start time of the second scheduled date, and the first content interaction module is not accessed between the first start time of the first scheduled date and the first end time of the first scheduled date. A computing device in which the implementation module indicates that the first content interaction module is no longer available and that the second content interaction module will be available on the second scheduled date. (15) The computing device according to Embodiment 14, wherein the first content interaction module presents smoking cessation information, including activities relating to any of the following: reasons for smoking, nicotine addiction, craving satisfaction, incentives for smoking, distraction techniques, medical warning signs, concerns about smoking, reasons for quitting, basic values, temptations, the benefits of seeking help from others, or visualizations of destroying tobacco.

[0093] (16) The computing device according to Embodiment 14, wherein the first content module presents healthy pregnancy information, including activities related to sleep, nutrition, mood, or exercise. (17) The computing device according to Embodiment 14, wherein the first content module presents healthy eating information, including activities relating to basic values ​​and diet, food choices, mindful eating, reasons for eating, self-control of eating, or healthier coping with stress. (18) The computing device according to Embodiment 14, wherein the first content interaction module includes an activity and a psychological reward associated with the activity. (19) The computing device according to Embodiment 14, wherein the first content interaction module selects an activity from a plurality of stored activities based on user analysis, and the first content interaction module selects the activity based on a history of more user interactions than unselected activities. (20) The computing device according to Embodiment 14, wherein the implementing module includes a user message indicating that the user will miss out on experiencing the activities of the first content interaction module due to the user's failure to comply with access rules.

Claims

1. A computing device for improving readiness for smoking cessation attempts through multiple time-series scheduled content interaction modules, wherein the computing device is A processor is provided, and the processor is Executing the first content interaction module associated with the user, The first content interaction module is configured to transition from an inactive state to an active state at a first start time on a first scheduled date, the first start time on the first scheduled date is associated with the first content interaction module, and the first content interaction module is configured to present user activity content in the active state to improve the user's readiness to quit smoking. The first content interaction module is configured to transition from the active state to the inactive state at the first end time of the first scheduled date, the first end time of the first scheduled date is associated with the first content interaction module, and the first content interaction module is configured to restrict access to the user activity content in the inactive state, and to perform the following: Executing a second content interaction module associated with the user having a second start time corresponding to a second scheduled date, wherein the second scheduled date is after the first scheduled date associated with the first content interaction module. The system is configured to execute an implementation module associated with the first content interaction module if the user attempts to access the first content interaction module between the first end time of the first scheduled date and the second start time of the second scheduled date, and the first content interaction module is not accessed between the first start time of the first scheduled date and the first end time of the first scheduled date. A computing device in which the implementation module indicates that the first content interaction module is no longer available and that the second content interaction module will be available on the second scheduled date.

2. A computing device for improving readiness to quit smoking via a plurality of time-series scheduled content interaction modules according to claim 1, wherein the first start time of the first content interaction module is the same as the second start time of the second content interaction module.

3. A computing device for improving readiness to quit smoking via a plurality of sequentially scheduled content interaction modules according to claim 1, wherein the first scheduled date for the first content interaction module and the second scheduled date for the second content interaction module are two consecutive days.

4. The aforementioned processor, The notification module is further configured to execute a notification module, wherein the notification module is configured to send an alert notification message to the user warning the user to access the first content interaction module at a predetermined time before the first end time of the first content interaction module, A computing device for improving readiness to quit smoking via a plurality of sequentially scheduled content interaction modules according to claim 1, wherein the predetermined time is one of the first start time of the first content interaction module or a time after the first start time of the first content interaction module.

5. The aforementioned processor, A computing device for improving readiness to quit smoking via a plurality of time-scheduled content interaction modules according to claim 1, further configured to execute a notification module, wherein the notification module is configured to send a reminder notification message to the user reminding the user to access the first content interaction module at a predetermined time between the first start time of the first content interaction module and the first end time of the first content interaction module, provided that the user failed to access the first content interaction module at the predetermined time.

6. A computer implementation method for improving attitudes toward attempts to quit smoking through multiple time-series scheduled content interactions, Between the first start time of the first scheduled date and the first end time of the said first scheduled date, a first user activity content is presented to improve the user's attitude toward attempting to quit smoking. Restricting access to the first user activity content at the first end time of the first scheduled date, Presenting second user activity content to improve the user's readiness to quit smoking between the second start time and the second end time of the second scheduled date, wherein the second scheduled date is after the first scheduled date. To detect that a user is attempting to access the first user activity content between the first end time of the first scheduled date and the second start time of the second scheduled date, A computer implementation method comprising: indicating, in response to the detection, that the first user activity content is no longer available on the condition that the first user activity content was not accessed between the first start time and the first end time of the first scheduled date.

7. The further includes sending an alert notification message to the user at a predetermined time before the first end time of the first user activity content, warning the user to access the first user activity content, A computer implementation method for improving readiness to quit smoking through a plurality of chronologically scheduled content interactions according to claim 6, wherein the predetermined time is one of the first start time of the first user activity content or a time after the first start time of the first user activity content.

8. A computer implementation method for improving readiness to quit smoking through a plurality of time-scheduled content interactions according to claim 6, further comprising sending a reminder notification message to the user to remind the user to access the first user activity content during a predetermined time between the first start time of the first user activity content and the first end time of the first user activity content, provided that the user failed to access the first user activity content during the predetermined time.

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