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

Risultato della ricerca: Contributo in rivistaArticolo in rivista

8 Citazioni (Scopus)


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.
Lingua originaleEnglish
pagine (da-a)N/A-N/A
RivistaComputational and Mathematical Methods in Medicine
Stato di pubblicazionePubblicato - 2015


  • biosensors
  • decision making


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