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Regulating Ruminative Web Browsing Based on the Counterbalance Modeling Approach
Even though the web environment facilitates our daily life, emotional problems caused by its incompatibility with human cognition are becoming increasingly serious. To alleviate negative emotions during web use, we developed a browser extension that presents memorized product images to users in the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874268/ https://www.ncbi.nlm.nih.gov/pubmed/35224479 http://dx.doi.org/10.3389/frai.2022.741610 |
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author | Morita, Junya Pitakchokchai, Thanakit Raj, Giri Basanta Yamamoto, Yusuke Yuhashi, Hiroyasu Koguchi, Teppei |
author_facet | Morita, Junya Pitakchokchai, Thanakit Raj, Giri Basanta Yamamoto, Yusuke Yuhashi, Hiroyasu Koguchi, Teppei |
author_sort | Morita, Junya |
collection | PubMed |
description | Even though the web environment facilitates our daily life, emotional problems caused by its incompatibility with human cognition are becoming increasingly serious. To alleviate negative emotions during web use, we developed a browser extension that presents memorized product images to users in the form of web advertisements. This system utilizes the cognitive architecture Adaptive Control of Thought-Rational (ACT-R) as a model of human memory and emotion. A heart rate sensor attached to the user modulates the ACT-R model parameters, and the emotional states represented by the model are synchronized (following the chameleon effect) or counterbalanced (following the homeostasis regulation) with the physiological state of the user. An experiment demonstrates that the counterbalanced model suppresses negative ruminative web browsing. The authors claim that this approach, utilizing a cognitive model, is advantageous in terms of explainability. |
format | Online Article Text |
id | pubmed-8874268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88742682022-02-26 Regulating Ruminative Web Browsing Based on the Counterbalance Modeling Approach Morita, Junya Pitakchokchai, Thanakit Raj, Giri Basanta Yamamoto, Yusuke Yuhashi, Hiroyasu Koguchi, Teppei Front Artif Intell Artificial Intelligence Even though the web environment facilitates our daily life, emotional problems caused by its incompatibility with human cognition are becoming increasingly serious. To alleviate negative emotions during web use, we developed a browser extension that presents memorized product images to users in the form of web advertisements. This system utilizes the cognitive architecture Adaptive Control of Thought-Rational (ACT-R) as a model of human memory and emotion. A heart rate sensor attached to the user modulates the ACT-R model parameters, and the emotional states represented by the model are synchronized (following the chameleon effect) or counterbalanced (following the homeostasis regulation) with the physiological state of the user. An experiment demonstrates that the counterbalanced model suppresses negative ruminative web browsing. The authors claim that this approach, utilizing a cognitive model, is advantageous in terms of explainability. Frontiers Media S.A. 2022-02-11 /pmc/articles/PMC8874268/ /pubmed/35224479 http://dx.doi.org/10.3389/frai.2022.741610 Text en Copyright © 2022 Morita, Pitakchokchai, Raj, Yamamoto, Yuhashi and Koguchi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Artificial Intelligence Morita, Junya Pitakchokchai, Thanakit Raj, Giri Basanta Yamamoto, Yusuke Yuhashi, Hiroyasu Koguchi, Teppei Regulating Ruminative Web Browsing Based on the Counterbalance Modeling Approach |
title | Regulating Ruminative Web Browsing Based on the Counterbalance Modeling Approach |
title_full | Regulating Ruminative Web Browsing Based on the Counterbalance Modeling Approach |
title_fullStr | Regulating Ruminative Web Browsing Based on the Counterbalance Modeling Approach |
title_full_unstemmed | Regulating Ruminative Web Browsing Based on the Counterbalance Modeling Approach |
title_short | Regulating Ruminative Web Browsing Based on the Counterbalance Modeling Approach |
title_sort | regulating ruminative web browsing based on the counterbalance modeling approach |
topic | Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874268/ https://www.ncbi.nlm.nih.gov/pubmed/35224479 http://dx.doi.org/10.3389/frai.2022.741610 |
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