Enhancing Job Interview Preparation Through Immersive Experiences Using Photorealistic, AI-powered Metahuman Avatars

This study will investigate the user experience while interacting with highly photorealistic virtual job interviewer avatars in Virtual Reality (VR), Augmented Reality (AR), and on a 2D screen. Having a precise speech recognition mechanism, our virtual character performs a mock-up software engineering job interview to adequately immerse the user in a life-like scenario. To evaluate the efficiency of our system, we measure factors such as the provoked level of anxiety, social presence, self-esteem, and intrinsic motivation. This research is a work in progress with a prospective within-subject user study including approximately 40 participants. All users will engage with three job interview conditions (VR, AR, and desktop) and provide their feedback. Additionally, Users’ bio-physical responses will be collected using a biosensor to measure the level of anxiety during the job interview.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/ismar-adjunct64951.2024.00083
Citations
5
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.60
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article

Enhancing Job Interview Preparation Through Immersive Experiences Using Photorealistic, AI-powered Metahuman Avatars

Tanja Kojić, Francesco Vona, Jan‐Niklas Voigt-Antons, Navid Ashrafi et al.
5 citations
Artificial Intelligence in Healthcare and Education
0.60
article

Enhancing Job Interview Preparation Through Immersive Experiences Using Photorealistic, AI-powered Metahuman Avatars

Tanja Kojić, Francesco Vona, Jan‐Niklas Voigt-Antons, Navid Ashrafi, Carina Ringsdorf, Christian Hertel, Luca Toni, Sarina Kailer, A. Bartels
article en
5 citations

Abstract

This study will investigate the user experience while interacting with highly photorealistic virtual job interviewer avatars in Virtual Reality (VR), Augmented Reality (AR), and on a 2D screen. Having a precise speech recognition mechanism, our virtual character performs a mock-up software engineering job interview to adequately immerse the user in a life-like scenario. To evaluate the efficiency of our system, we measure factors such as the provoked level of anxiety, social presence, self-esteem, and intrinsic motivation. This research is a work in progress with a prospective within-subject user study including approximately 40 participants. All users will engage with three job interview conditions (VR, AR, and desktop) and provide their feedback. Additionally, Users’ bio-physical responses will be collected using a biosensor to measure the level of anxiety during the job interview.

Hamm-Lippstadt University of Applied Sciences (DE), Technische Universität Berlin (DE)
Openalex Percentile: Top 28%
Artificial Intelligence in Healthcare and Education
0.60
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