Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/52078

TitleRepresenting decision-makers using styles of behavior: an approach designed for group decision support systems
Author(s)Carneiro, João Miguel Ribeiro
Saraiva, Pedro
Martinho, Diogo
Marreiros, Goreti
Novais, Paulo
KeywordsGroup Decision Support Systems
Styles of Behavior
Cognitive Agents
Affective Computing
Issue dateJan-2018
PublisherElsevier
JournalCognitive Systems Research
Abstract(s)Supporting decision-making processes when the elements of a group are geographically dispersed and on a tight schedule is a complex task. Aiming to support decision-makers anytime and anywhere, Web-based group decision support systems have been studied. However, the limitations in the decision-makers’ interactions associated to this scenario bring new challenges. In this work, we propose a set of behavioral styles from which decision-makers’ intentions can be modelled into agents. The goal is that, besides having agents represent typical preferences of the decision-makers (towards alternatives and criteria), they can also represent their intentions. To do so, we conducted a survey with 64 participants in order to find homogeneous operating values so as to numerically define the proposed behavioral styles in four dimensions. In addition, we also propose a communication model that simulates the dialogues made by decision-makers in face-to-face meetings. We developed a prototype to simulate decision scenarios and found that agents are capable of acting according to the decision-makers’ intentions and fundamentally benefit from different possible behavioral styles, just as a face-to-face meeting benefits from the heterogeneity of its participants.
TypeArticle
URIhttp://hdl.handle.net/1822/52078
DOI10.1016/j.cogsys.2017.09.002
ISSN1389-0417
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals

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