Avatar-Centered Feedback: Dynamic Avatar Alterations Can Induce Avoidance Behaviors to Virtual Dangers

Abstract One singularity of VR is its capacity to generate a strong sensation of being present in a dangerous environment, without risking the physical consequences. However, this absence of consequences when interacting with virtual dangers might also limit the induction of realistic responses, such as avoidance behaviors, which are a key factor of various VR applications (e.g., training, journalism, or exposure therapies). To address this limitation, we propose avatar-centered feedback, a novel, device-free approach, consisting of dynamically altering the avatar’s appearance and movements to offer coherent feedback from interactions with the virtual environment, including dangers. To begin with, we present a design space clarifying the range of potential implementations for this approach. Then, we tested this approach in a metallurgy scenario, where participants’ virtual hands would redden and display burns as they got closer to a virtual fire (appearance alteration), and simulate short withdrawal reflexes movements when a spark burst next to them (movement alteration). Our results show that in comparison to a control group, participants receiving avatar-centered feedback demonstrated significantly more avoidance behaviors to the virtual fire. Interestingly, we also found that experiencing avatar-centered feedback of fire significantly increased avoidance behaviors toward a following danger of different nature (a circular saw). These results suggest that avatar-centered feedback can also impact the general perception of the avatar vulnerability to the virtual environment.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/ismar62088.2024.00023
Citations
5
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
3.22
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article

Avatar-Centered Feedback: Dynamic Avatar Alterations Can Induce Avoidance Behaviors to Virtual Dangers

Rebecca Fribourg, Ferran Argelaguet, Antonin Cheymol, Jean‐Marie Normand et al.
5 citations
Human-Automation Interaction and Safety
3.22
article

Avatar-Centered Feedback: Dynamic Avatar Alterations Can Induce Avoidance Behaviors to Virtual Dangers

Rebecca Fribourg, Ferran Argelaguet, Antonin Cheymol, Jean‐Marie Normand, Anatole Lécuyer
article en
5 citations

Abstract

Abstract One singularity of VR is its capacity to generate a strong sensation of being present in a dangerous environment, without risking the physical consequences. However, this absence of consequences when interacting with virtual dangers might also limit the induction of realistic responses, such as avoidance behaviors, which are a key factor of various VR applications (e.g., training, journalism, or exposure therapies). To address this limitation, we propose avatar-centered feedback, a novel, device-free approach, consisting of dynamically altering the avatar’s appearance and movements to offer coherent feedback from interactions with the virtual environment, including dangers. To begin with, we present a design space clarifying the range of potential implementations for this approach. Then, we tested this approach in a metallurgy scenario, where participants’ virtual hands would redden and display burns as they got closer to a virtual fire (appearance alteration), and simulate short withdrawal reflexes movements when a spark burst next to them (movement alteration). Our results show that in comparison to a control group, participants receiving avatar-centered feedback demonstrated significantly more avoidance behaviors to the virtual fire. Interestingly, we also found that experiencing avatar-centered feedback of fire significantly increased avoidance behaviors toward a following danger of different nature (a circular saw). These results suggest that avatar-centered feedback can also impact the general perception of the avatar vulnerability to the virtual environment.

École Centrale de Nantes (FR), Centre National de la Recherche Scientifique (FR), Institut national de recherche en sciences et technologies du numérique (FR), Institut de Recherche en Informatique et Systèmes Aléatoires (FR), Laboratoire des Sciences du Numérique de Nantes (FR), Université de Rennes (FR), Nantes Université (FR)
Openalex Percentile: Top 8%
Human-Automation Interaction and Safety
3.22
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