Our physical and psychological well-being is significantly in-fluenced by how we perceive our body, in addition to our thoughts and emotions associated with it. Dysfunctional body perceptions and attitudes play a key role in the devel-opment and maintenance of severe conditions such as eat-ing disorders in both males and females. Given its relevance, some attempts have been made to improve body image as-sessment methods in terms of perceptual accuracy and body satisfaction taking advantage of technological advances such as virtual reality. However, existing applications have mainly focused on women and clinical conditions. In this study, we presented the Body Image Virtual Reality Assessment (BIVRA), a virtual reality figure rating scale to assess body image in both male and female subjects. We tested BIVRA's ability to measure perceptual accuracy and compared its re-sults with a standardized body satisfaction questionnaire. Additionally, we investigated gender differences. BIVRA was found to be effective in assessing body image. We observed that a perceptually based task successfully captured both low and high levels of body representations, shedding light on the significant gender differences. The association between BIVRA and the body satisfaction questionnaires was moder-ated by gender, with a stronger association for women. While further validation of BIVRA is needed to fully exploit its po-tential, our results suggest that the integration of virtual real-ity into the assessment of body image and related disorders may significantly enhance our understanding of individuals struggling with body image issues and has the potential to advance current methods and techniques.

Brizzi, G., Riva, G., Romano, D., The Body Image Virtual Reality Assessment (BIVRA): Measuring the body representation through virtual reality, <<JOURNAL OF NEUROPSYCHOLOGY>>, 2024; (N/A): N/A-N/A. [doi:https://doi.org/10.1111/jnp.12366] [https://hdl.handle.net/10807/271815]

The Body Image Virtual Reality Assessment (BIVRA): Measuring the body representation through virtual reality

Brizzi, Giulia
Primo
;
Riva, Giuseppe
Secondo
;
2024

Abstract

Our physical and psychological well-being is significantly in-fluenced by how we perceive our body, in addition to our thoughts and emotions associated with it. Dysfunctional body perceptions and attitudes play a key role in the devel-opment and maintenance of severe conditions such as eat-ing disorders in both males and females. Given its relevance, some attempts have been made to improve body image as-sessment methods in terms of perceptual accuracy and body satisfaction taking advantage of technological advances such as virtual reality. However, existing applications have mainly focused on women and clinical conditions. In this study, we presented the Body Image Virtual Reality Assessment (BIVRA), a virtual reality figure rating scale to assess body image in both male and female subjects. We tested BIVRA's ability to measure perceptual accuracy and compared its re-sults with a standardized body satisfaction questionnaire. Additionally, we investigated gender differences. BIVRA was found to be effective in assessing body image. We observed that a perceptually based task successfully captured both low and high levels of body representations, shedding light on the significant gender differences. The association between BIVRA and the body satisfaction questionnaires was moder-ated by gender, with a stronger association for women. While further validation of BIVRA is needed to fully exploit its po-tential, our results suggest that the integration of virtual real-ity into the assessment of body image and related disorders may significantly enhance our understanding of individuals struggling with body image issues and has the potential to advance current methods and techniques.
2024
Inglese
Brizzi, G., Riva, G., Romano, D., The Body Image Virtual Reality Assessment (BIVRA): Measuring the body representation through virtual reality, <<JOURNAL OF NEUROPSYCHOLOGY>>, 2024; (N/A): N/A-N/A. [doi:https://doi.org/10.1111/jnp.12366] [https://hdl.handle.net/10807/271815]
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