The effect of immersive virtual reality‐based attentional bias modification on anxiety mitigation in healthy population

Wang, Yamin; Zhang, Xiaoxiang; Gao, Jidong; Zhang, Leran; Jiang, Jinhang

doi:10.1002/pchj.581

Cited by 2 publications

(1 citation statement)

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“…In addition, eye-tracking methodologies make it possible to observe in real time how an individual explores the scene presented 26 , 37 . Although this paper does not compare IVR with classical photo and video stimuli in facial emotion recognition, it is a truism that the use of dynamic avatars for emotion recognition tasks has become widespread in the last 20 years 38 – 41 . In addition, scientific evidence has highlighted the superiority of IVR over classic photo and video stimuli in facial emotion recognition 42 .…”

Section: Introductionmentioning

confidence: 99%

An exploratory study of the effect of age and gender on face scanning during affect recognition in immersive virtual reality

González-Gualda,

Vicente-Querol,

García

et al. 2024

Sci Rep

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A person with impaired emotion recognition is not able to correctly identify facial expressions represented by other individuals. The aim of the present study is to assess eyes gaze and facial emotion recognition in a healthy population using dynamic avatars in immersive virtual reality (IVR). For the first time, the viewing of each area of interest of the face in IVR is studied by gender and age. This work in healthy people is conducted to assess the future usefulness of IVR in patients with deficits in the recognition of facial expressions. Seventy-four healthy volunteers participated in the study. The materials used were a laptop computer, a game controller, and a head-mounted display. Dynamic virtual faces randomly representing the six basic emotions plus neutral expression were used as stimuli. After the virtual human represented an emotion, a response panel was displayed with the seven possible options. Besides storing the hits and misses, the software program internally divided the faces into different areas of interest (AOIs) and recorded how long participants looked at each AOI. As regards the overall accuracy of the participants’ responses, hits decreased from the youngest to the middle-aged and older adults. Also, all three groups spent the highest percentage of time looking at the eyes, but younger adults had the highest percentage. It is also noteworthy that attention to the face compared to the background decreased with age. Moreover, the hits between women and men were remarkably similar and, in fact, there were no statistically significant differences between them. In general, men paid more attention to the eyes than women, but women paid more attention to the forehead and mouth. In contrast to previous work, our study indicates that there are no differences between men and women in facial emotion recognition. Moreover, in line with previous work, the percentage of face viewing time for younger adults is higher than for older adults. However, contrary to earlier studies, older adults look more at the eyes than at the mouth.Consistent with other studies, the eyes are the AOI with the highest percentage of viewing time. For men the most viewed AOI is the eyes for all emotions in both hits and misses. Women look more at the eyes for all emotions, except for joy, fear, and anger on hits. On misses, they look more into the eyes for almost all emotions except surprise and fear.

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