International Journal of Affective Engineering
Online ISSN : 2187-5413
ISSN-L : 2187-5413

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Enhancing Decision-Making System with Implicit Attitude and Preferences: A Comprehensive Review in Computational Social Science
Dian Christy SILPANI Kaori YOSHIDA
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JOURNAL OPEN ACCESS Advance online publication

Article ID: IJAE-D-24-00011

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Abstract

Implicit attitudes and preferences can be dynamic and context-dependent, evolving over time and in different situations. In this study, we point out 4 main topics: Implicit attitudes, preferences, decision-making system, and computational social science, to introduce a new approach to developing a decision-making system. As a comprehensive review, we set the 3 research questions as the main considerations for this study. We collected 903,451 articles using 3 major database sources (ScienceDirect, ACM Digital Library, and IEEE Xplore), screened 5 times with different viewpoints, and surveyed 14 articles to answer the research questions. As a result of the comprehensive review, we conclude that it shows the possibility of enhancing the decision-making system with implicit attitudes and preferences in a computational social science manner.

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© 2024 Japan Society of Kansei Engineering

This article is licensed under a Creative Commons [Attribution 4.0 International] license.
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