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Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

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Regulating Ruminative Web Browsing Based on the Counterbalance Modeling Approach.

Junya Morita¹, Thanakit Pitakchokchai², Giri Basanta Raj²

¹Department of Behavior Informatics, Faculty of Informatics, Shizuoka University, Hamamatsu, Japan.

Frontiers in Artificial Intelligence

|February 28, 2022

Summary

This study introduces a browser extension using the Adaptive Control of Thought-Rational (ACT-R) cognitive model to reduce negative emotions during web browsing. The system counterbalances user emotions, effectively suppressing ruminative web behavior.

Keywords:

ACT-R cognitive modeling heart rate homeostasis internet addiction mental health nudge web advertisement

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Area of Science:

Cognitive Science
Human-Computer Interaction
Affective Computing

Background:

Web environments can negatively impact users' emotional states due to cognitive incompatibilities.
Developing effective interventions to mitigate negative emotions during web use is crucial.

Purpose of the Study:

To develop and evaluate a browser extension that leverages a cognitive model to alleviate negative emotions during web browsing.
To investigate the efficacy of synchronizing or counterbalancing emotional states with physiological data.

Main Methods:

Development of a browser extension incorporating the Adaptive Control of Thought-Rational (ACT-R) cognitive architecture.
Integration of a heart rate sensor to modulate ACT-R model parameters.
Implementation of emotional state synchronization (chameleon effect) and counterbalancing (homeostasis regulation) strategies.

Main Results:

The counterbalanced ACT-R model demonstrated suppression of negative ruminative web browsing.
The system effectively synchronized or counterbalanced user emotional states with physiological data.

Conclusions:

Utilizing cognitive models like ACT-R offers an explainable approach to managing user emotions in web environments.
This browser extension presents a novel method for mitigating negative emotional experiences during internet use.