The Need for Affective Trust Applied to Trust and Reputation Models

Jones Granatyr, Nardine Osman, João Dias, Maria Augusta Silveira Netto Nunes, Judith Masthoff, Fabrício Enembreck, Otto Robert Lessing, Carles Sierra, Ana Maria Paiva, Edson Emílio Scalabrin

Research output: Contribution to journalArticle

6 Citations (Scopus)

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 de ision 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.

Original languageEnglish
Article number48
JournalACM Computing Surveys
Volume50
Issue number4
DOIs
Publication statusPublished - 4 Nov 2017

Keywords

  • Affective computing
  • Affective paradigm
  • Reputation
  • Trust model

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    Granatyr, J., Osman, N., Dias, J., Nunes, M. A. S. N., Masthoff, J., Enembreck, F., Lessing, O. R., Sierra, C., Paiva, A. M., & Scalabrin, E. E. (2017). The Need for Affective Trust Applied to Trust and Reputation Models. ACM Computing Surveys, 50(4), [48]. https://doi.org/10.1145/3078833