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Assessing the Emotional State of Job Applicants Through a Virtual Reality Simulation: A Psycho-Physiological Study

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Abstract

Job interview is one of the most frequently used methods to assess candidates for employment and it often evokes feelings of anxiety and distress. The principal aim of this study is to use a VR simulation experience to assess the emotional state, and specifically anxiety, of job applicants. Two VR job simulations are proposed to twenty-five participants, before and after a five weeks training aimed to enhance their emotional skills. Results show differences in anxiety experienced by participants exposed to VR-simulated job interviews before and after the trainings and suggest adequacy of VR as an assessment tool sensitive to the changes in internal states of candidates.

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Author information

Authors and Affiliations

  1. Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy

    Daniela Villani, Chiara Rotasperti, Pietro Cipresso, Stefano Triberti, Claudia Carissoli & Giuseppe Riva

  2. ATNPLab, Istituto Auxologico Italiano, Milan, Italy

    Pietro Cipresso & Giuseppe Riva

Authors
  1. Daniela Villani
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  2. Chiara Rotasperti
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  3. Pietro Cipresso
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  4. Stefano Triberti
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  5. Claudia Carissoli
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  6. Giuseppe Riva
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Corresponding author

Correspondence to Daniela Villani .

Editor information

Editors and Affiliations

  1. Applied Informatics in mHealth, National Technical University of Athens, Zografou, Greece

    Kostas Giokas

  2. Budapest University of Technology, Budapest, Hungary

    Laszlo Bokor

  3. University of Glasgow, Glaswow, United Kingdom

    Frank Hopfgartner

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Villani, D., Rotasperti, C., Cipresso, P., Triberti, S., Carissoli, C., Riva, G. (2017). Assessing the Emotional State of Job Applicants Through a Virtual Reality Simulation: A Psycho-Physiological Study. In: Giokas, K., Bokor, L., Hopfgartner, F. (eds) eHealth 360°. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-319-49655-9_16

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  • DOI: https://doi.org/10.1007/978-3-319-49655-9_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49654-2

  • Online ISBN: 978-3-319-49655-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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