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Virtual Reality Body Swapping to Improve Self-Assessment in Job Interview Training

Authors :
Sofia Seinfeld
Filippo Gabriele Prattico
Chiara De Giorgi
Fabrizio Lamberti
Source :
IEEE Transactions on Learning Technologies. 2024 17:992-1006.
Publication Year :
2024

Abstract

Swapping visual perspective in virtual reality (VR) provides a unique means for embodying different virtual bodies and for self-distancing. Moreover, this technology is a powerful tool for experiential learning and for simulating realistic scenarios, with broad potential in the training of soft skills. However, there is scarce knowledge on how perspective swapping in VR might benefit the training of soft skills such as those required in a job interview. This article investigates the impact of virtual body swapping on the self-assessment of verbal and nonverbal communication skills, emotional states, and embodiment in a simulated job interview context. Three main conditions were compared: a baseline condition in which the participants practiced a job interview from the first-person perspective of a virtual interviewee (no swap condition); an external point of view condition where, first, the participants answered questions from the interviewee perspective, but then swap visual perspective to re-experience their responses from a nonembodied point of view (out of body condition); and a condition in which, after answering questions from the interviewee perspective, the participants re-experienced their responses from the embodied perspective of the virtual recruiter (recruiter condition). The experimental results indicated that the effectiveness of the out of body and recruiter conditions was superior to the no swap condition to self-assess the communication styles used during a job interview. Moreover, all the conditions led to a high level of embodiment toward the interviewee avatar when seen from the first-person perspective; in the case of the recruiter condition, the participants also felt embodied in the recruiter avatar. No differences in emotional states were found among conditions, with all sharing a positive valence.

Details

Language :
English
ISSN :
1939-1382
Volume :
17
Database :
ERIC
Journal :
IEEE Transactions on Learning Technologies
Publication Type :
Academic Journal
Accession number :
EJ1408149
Document Type :
Journal Articles<br />Reports - Research
Full Text :
https://doi.org/10.1109/TLT.2023.3349161