情绪识别的媒体刺激:当前趋势和技术的最新回顾

IF 0.9 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Hariyady Hariyady, Ag Ibrahim, Jason Teo, Ng Weng, Azhana Ahmad, Fouziah Yassin, Carolyn Salimun
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引用次数: 0

摘要

近年来,情绪识别在心理健康、教育和市场营销领域的应用引起了人们的极大兴趣。本系统的文献综述旨在提供最新的趋势和技术进步的概述,在使用媒体刺激的情绪识别。综合搜索得出2018年至2023年的720项相关研究,这些研究使用各种媒体刺激来诱导和测量情绪反应。主要研究结果表明,音频和视频是情感识别中使用最多的媒体刺激。然而,人们越来越倾向于探索其他形式的媒体,比如生理信号和可穿戴设备。这篇综述强调了不同刺激类型的不同生态效度,并强调了虚拟现实在更客观的情绪识别方面的潜力。这些发现为未来的研究和该领域的实际应用提供了有价值的见解,通过综合知识来通知情绪识别媒体刺激的进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MEDIA STIMULI OF EMOTION RECOGNITION: A STATE-OF-THE-ART REVIEW OF CURRENT TRENDS AND TECHNOLOGY
Emotion identification has received a lot of interest in recent years, with applications in mental health, education, and marketing. This systematic literature review aimed to provide an up-to-date overview of trends and technological advancements in the use of media stimuli for emotion recognition. A comprehensive search yielded 720 relevant studies from 2018 to 2023, which employed various media stimuli to induce and measure emotional responses. The main findings indicate that audios and videos are the most used media stimuli for emotion recognition. However, there is a growing trend toward exploring other forms of media, such as physiological signals and wearables. This review highlights the varying ecological validity of different stimulus types and emphasizes the potential of virtual reality for more objective emotion recognition. These findings offer valuable insights for future research and practical applications in the field by synthesizing knowledge to inform advancements in media stimuli for emotion recognition.
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来源期刊
Jordanian Journal of Computers and Information Technology
Jordanian Journal of Computers and Information Technology Computer Science-Computer Science (all)
CiteScore
3.10
自引率
25.00%
发文量
19
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