Computational Psychometrics in Communication and Implications in Decision Making

Author:

Cipresso Pietro1ORCID,Villani Daniela2ORCID,Repetto Claudia2,Bosone Lucia3,Balgera Anna4,Mauri Maurizio4,Villamira Marco4,Antonietti Alessandro2,Riva Giuseppe12ORCID

Affiliation:

1. Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Via Ariosto 13, 20145 Milan, Italy

2. Department of Psychology, Catholic University of the Sacred Heart, Largo Gemelli 1, 20123 Milan, Italy

3. Social Psychology Research Group (EA 4163), Université Lumière Lyon 2, 5 avenue Pierre Mendès-France, 69656 Bron, France

4. IULM University-Milan, Via Carlo Bo 8, 20143 Milan, Italy

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.

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine

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