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The Need for Affective Trust Applied to Trust and Reputation Models

Published: 30 August 2017 Publication History

Abstract

Trust allows the behavior evaluation of individuals by setting confidence values, which are used in decisions about whether or not to interact. They have been used in several fields, and many trust and reputation models were developed recently. We perceived that most of them were built upon the numeric and cognitive paradigms, which do not use affective aspects to build trust or help in decision making. Studies in psychology argued that personality, emotions, and mood are important in decision making and can change the behaviors of individuals. Based on that, we present links between trust and affective computing, showing relations of trust dimensions found in trust models with affective aspects, and presenting why affective computing approaches fit trust issues often addressed by research in this field. We also discuss trust relationships and decision making, emotions, and personality. Affective computing concepts have been used in a dispersed way and specifically in some models, so we aim to bring them together to encourage the growth of fuller trust models similar to those used by humans. We aim to find relations between both fields so it will be possible to employ such concepts to develop trust models using this new paradigm, defined as the affective paradigm.

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  1. The Need for Affective Trust Applied to Trust and Reputation Models

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    cover image ACM Computing Surveys
    ACM Computing Surveys  Volume 50, Issue 4
    July 2018
    531 pages
    ISSN:0360-0300
    EISSN:1557-7341
    DOI:10.1145/3135069
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    • Sartaj Sahni
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    Published: 30 August 2017
    Accepted: 01 April 2017
    Revised: 01 January 2017
    Received: 01 December 2015
    Published in CSUR Volume 50, Issue 4

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