Cognitive Suggestion System for Real-Time Biofeedback During Discussions
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Solution Overview
Problem
Biofeedback technologies have not been effectively utilized to assist humans in cognitive functioning during discussions with other humans or machines, particularly in providing substantially near real-time feedback.
Innovation Solution
The implementation of a Cognitive Suggestion System that identifies concepts during discussions, sources additional content using AI, and renders biofeedback signals to participants upon detecting trigger expressions, facilitating communication through visual, auditory, or tactile means.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If biofeedback technologies are used to assist humans in cognitive functioning during discussions, then communication enhancement and cognitive assistance are improved, but the system complexity and implementation difficulty increase
Solution Approach 1:
The patent introduces an intermediary AI system that bridges the gap between raw biofeedback data and useful cognitive assistance. The AI processor analyzes physiological signals and translates them into actionable suggestions, serving as a mediator that simplifies the complex interaction between biofeedback sensors and human cognition during discussions.
Solution Approach 2:
The system implements a feedback loop where physiological data from sensors is continuously monitored, processed by AI, and used to generate real-time suggestions displayed to participants. This feedback mechanism enables dynamic adaptation to the discussion context, improving cognitive assistance while managing complexity through automated processing.
2Ease of operation
If real-time biofeedback signals are provided during discussions, then communication enhancement is improved, but the loss of time for processing and rendering feedback increases
Solution Approach 1:
The system performs preliminary processing of physiological signals and pre-generates potential suggestions before they are needed during the discussion. The AI processor continuously analyzes biofeedback data in advance, preparing relevant content that can be rapidly displayed when trigger conditions are met, thereby reducing real-time processing delays.
Solution Approach 2:
The patent replaces manual or mechanical feedback delivery with automated AI processing and digital display systems. This substitution eliminates human intervention in the feedback loop, enabling faster and more consistent real-time response while reducing the time loss associated with manual processing and delivery of biofeedback signals.
Data Source
AI summary
Computer implemented biofeedback is used to facilitate discussions. Preferred embodiments include the steps of identifying a concept used by at least one of the participants during a discussion, sourcing additional content from outside the discussion, detecting use of a trigger expression by one of the participants, and then further to detecting use of the trigger expression rendering at least some of the additional content to one or more of the participants as an electronic biofeedback signal.


