Wearable Behavioral Feedback for Discreet Real-Time Behavior Shaping
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Solution Overview
Problem
Shaping the behavior of individuals with autism or other behavioral challenges across various activities and environments is challenging due to the need for cumbersome equipment, difficulty in data collection, and the requirement for constant therapist presence, which can be stigmatizing and disruptive.
Innovation Solution
A method and system using a wearable device and mobile application to provide non-intrusive, real-time behavioral feedback through user-defined representations and token scores, allowing customization and data logging for multiple sessions, enabling remote monitoring and sharing with caregivers and researchers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional behavior monitoring methods using pens, paper, and clipboards are used, then data collection is possible, but the equipment is cumbersome and data collection is difficult
Solution Approach 1:
The patent replaces traditional mechanical data collection tools (pens, paper, clipboards) with an electronic computing device that automatically captures behavioral data. The system uses software applications to log observations, eliminate manual writing, and store data digitally, thereby substituting mechanical operations with electronic automation.
Solution Approach 2:
The system creates digital copies of behavioral data that can be easily stored, transmitted, and analyzed. Instead of physical paper records, the patent uses electronic databases and cloud storage to replicate and preserve behavioral information, making it accessible across multiple devices and locations without the constraints of physical media.
2Reliability
If a therapist is present next to the patient at all times to provide feedback, then behavior shaping is effective, but it is stigmatizing and disruptive particularly during normal activities
Solution Approach 1:
The patent introduces a computing device and software application as an intermediary between the therapist and the subject. This intermediary automatically delivers feedback through notifications, alerts, or digital messages, eliminating the need for direct therapist presence while maintaining the reliability of behavior shaping. The intermediary reduces stigmatization by providing feedback discreetly through technology rather than constant human observation.
Solution Approach 2:
The system enables the subject to receive feedback independently without requiring a therapist to be physically present. The computing device autonomously monitors behavior, processes data, and delivers feedback notifications to the subject, allowing the subject to self-regulate behavior based on automated responses. This self-service approach maintains effectiveness while reducing disruption and stigmatization during normal activities.
3Loss of information
If data collection is performed manually, then behavior data can be recorded, but data collection is frequently discarded
Solution Approach 1:
The patent replaces manual data collection processes with automated electronic systems that continuously capture and store behavioral data. The computing device uses sensors, cameras, or input interfaces to automatically record observations without requiring manual transcription, thereby eliminating the errors and data loss associated with manual methods while maintaining ease of operation through automated workflows.
Data Source
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AI summary
A behavioral feedback system is provided to facilitate shaping a subject's behavior during an activity by obtaining user input. The user input is obtained pursuant to user-selection of a behavior-related representation from a set of behavior-related representations, for an activity of a subject, displayed on an electronic device of the user. Each representation corresponds to a different potential behavior of the subject during the activity, and the selected behavior-related representation relates to a user-observed behavior of the subject during the activity. The method further includes determining, by one or more processors, a positive or negative feedback indication associated with the selected behavior-related representation, and generating a feedback signal to send to an electronic device of the subject to indicate to the subject the selected behavior-related representation and the associated positive or negative feedback indication.