Computational Psychometrics in Communication and Implications in Decision Making

Pietro Cipresso, Daniela Villani, Claudia Repetto, Lucia Bosone, Anna Balgera, Maurizio Mauri, Marco Villamira, Alessandro Antonietti, Giuseppe Riva

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Article number985032
JournalComputational and Mathematical Methods in Medicine
Publication statusPublished - 2015

ASJC Scopus subject areas

  • Applied Mathematics
  • Modelling and Simulation
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)
  • Immunology and Microbiology(all)


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