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Computational and Mathematical Methods in Medicine
Volume 2015 (2015), Article ID 985032, 10 pages
http://dx.doi.org/10.1155/2015/985032
Research Article

Computational Psychometrics in Communication and Implications in Decision Making

1Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Via Ariosto 13, 20145 Milan, Italy
2Department of Psychology, Catholic University of the Sacred Heart, Largo Gemelli 1, 20123 Milan, Italy
3Social Psychology Research Group (EA 4163), Université Lumière Lyon 2, 5 avenue Pierre Mendès-France, 69656 Bron, France
4IULM University-Milan, Via Carlo Bo 8, 20143 Milan, Italy

Received 12 December 2014; Accepted 21 June 2015

Academic Editor: Maria N. D. S. Cordeiro

Copyright © 2015 Pietro Cipresso et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Recent investigations emphasized the role of communication features on behavioral trust and reciprocity in economic decision making but no studies have been focused on the effect of communication on affective states in such a context. Thanks to advanced methods of computational psychometrics, in this study, affective states were deeply examined using simultaneous and synchronized recordings of gazes and psychophysiological signals in 28 female students during an investment game. Results showed that participants experienced different affective states according to the type of communication (personal versus impersonal). In particular, participants involved in personal communication felt more relaxed than participants involved in impersonal communication. Moreover, personal communication influenced reciprocity and participants’ perceptions about trust and reciprocity. Findings were interpreted in the light of the Arousal/Valence Model and self-disclosure process.