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Título

The need for affective trust applied to trust and reputation models

AutorGranatyr, Jones; Enembreck, Fabrício; Scalabrin, Edson Emílio; Osman, Nardine; Dias, Joao; Nunes, Maria Augusta; Lessing, Otto Robert; Sierra, Carles; Paiva, Ana M.
Palabras claveReputation
Trust model
Affective paradigm
Affective computing
Fecha de publicación2017
EditorAssociation for Computing Machinery
CitaciónACM Computing Surveys 50 (2017)
ResumenTrust 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. © 2017 ACM.
URIhttp://hdl.handle.net/10261/157703
DOI10.1145/3078833
Identificadoresdoi: 10.1145/3078833
issn: 03600300
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