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年龄和性别对沉浸式虚拟现实中情感识别过程中对面部扫描的影响的探索性研究。

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

机构信息

Servicio de Salud de Castilla-La Mancha, Complejo Hospitalario Universitario de Albacete, Servicio de Salud Mental, 02004, Albacete, Spain.

Neurocognition and Emotion Unit, Instituto de Investigación en Informática de Albacete, 02071, Albacete, Spain.

出版信息

Sci Rep. 2024 Mar 6;14(1):5553. doi: 10.1038/s41598-024-55774-3.

Abstract

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.

摘要

一个情感识别受损的人无法正确识别他人所表现出的面部表情。本研究旨在使用沉浸式虚拟现实 (IVR) 中的动态虚拟人评估健康人群的眼神注视和面部情绪识别。这是首次根据性别和年龄研究 IVR 中面部各个感兴趣区域 (AOI) 的观看情况。这项针对健康人群的工作是为了评估 IVR 在面部表情识别缺陷患者中的未来应用价值。74 名健康志愿者参与了这项研究。研究中使用的材料是笔记本电脑、游戏控制器和头戴式显示器。随机代表六种基本表情加上中性表情的动态虚拟人脸被用作刺激。虚拟人代表一种情绪后,会显示一个响应面板,其中有七个可能的选项。除了存储命中和失误外,软件程序还将人脸内部划分为不同的感兴趣区域 (AOI),并记录参与者观看每个 AOI 的时长。关于参与者反应的整体准确性,年轻组的命中率从最低到中年和老年组逐渐降低。此外,所有三组人都将最高百分比的时间用于注视眼睛,但年轻组的时间最长。值得注意的是,与背景相比,人们对面部的关注度随年龄增长而降低。此外,女性和男性之间的命中率非常相似,实际上,他们之间没有统计学上的显著差异。总的来说,男性比女性更关注眼睛,但女性更关注额头和嘴巴。与之前的工作不同,我们的研究表明,在面部情绪识别方面,男性和女性之间没有差异。此外,与之前的工作一致,年轻成年人的面部观看时间百分比高于老年人。然而,与早期研究相反,老年人比年轻人更关注眼睛。与其他研究一致,眼睛是观看时间百分比最高的 AOI。对于男性,在所有情绪的命中和失误中,最受关注的 AOI 都是眼睛。女性在所有情绪的命中中更关注眼睛,除了快乐、恐惧和愤怒。在失误中,她们更关注除了惊讶和恐惧之外的几乎所有情绪的眼睛。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/727c/10918108/0f3f0b2e9da6/41598_2024_55774_Fig1_HTML.jpg

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