Synthetic vs Human Emotional Faces: What Changes in Humans' Decoding Accuracy
Synthetic vs Human Emotional Faces: What Changes in Humans' Decoding Accuracy
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DOI：
10.1109/thms.2021.3129714
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发表时间：
2021-12-07
影响因子：
3.6
通讯作者：
Esposito, Anna
中科院分区：
文献类型：
--
作者：
Amorese, Terry;Cuciniello, Marialucia;Esposito, Anna
考虑到越来越多地使用虚拟代理形式的辅助技术，有必要调查那些表征和影响用户与代理之间交互的因素，其中出现了人们解释和解码合成情感的方式，即，由虚拟代理人传达的情感表达。出于这些原因，提出了一篇文章，其中涉及278名参与者分为不同年龄组（年轻人，中年人和老年人）。在每个年龄组中，一些参与者被管理一个“自然解码任务”，一个人类情感面孔的识别任务，而其他人则被管理一个“合成解码任务”，即虚拟代理人传达的情感表达。参与者被要求标记不同年龄（年轻，中年和老年）的女性和男性人类或虚拟代理人的照片，这些照片显示厌恶，愤怒，悲伤，恐惧，快乐，惊讶和中立的静态表情。结果表明，年轻的参与者表现出更好的识别性能（与老年组相比）的愤怒，悲伤和中立，而女性参与者表现出更好的识别性能（与男性相比）的悲伤，恐惧和中立;悲伤和恐惧时，更好地识别由真实的人脸，而幸福，惊喜和中立时，更好地识别由虚拟代理人。年轻人的脸在表达愤怒和惊讶时更容易被解码，中年人的脸在表达悲伤、恐惧和快乐时更容易被解码，而老年人的脸在表达厌恶时更容易被解码;平均而言，女性的脸比男性的脸更容易被解码。
Considered the increasing use of assistive technologies in the shape of virtual agents, it is necessary to investigate those factors which characterize and affect the interaction between the user and the agent, among these emerges the way in which people interpret and decode synthetic emotions, i.e., emotional expressions conveyed by virtual agents. For these reasons, an article is proposed, which involved 278 participants split in differently aged groups (young, middle-aged, and elders). Within each age group, some participants were administered a "naturalistic decoding task," a recognition task of human emotional faces, while others were administered a "synthetic decoding task" namely emotional expressions conveyed by virtual agents. Participants were required to label pictures of female and male humans or virtual agents of different ages (young, middle-aged, and old) displaying static expressions of disgust, anger, sadness, fear, happiness, surprise, and neutrality. Results showed that young participants showed better recognition performances (compared to older groups) of anger, sadness, and neutrality, while female participants showed better recognition performances (compared to males) of sadness, fear, and neutrality; sadness and fear were better recognized when conveyed by real human faces, while happiness, surprise, and neutrality were better recognized when represented by virtual agents. Young faces were better decoded when expressing anger and surprise, middle-aged faces were better decoded when expressing sadness, fear, and happiness, while old faces were better decoded in the case of disgust; on average, female faces where better decoded compared to male ones.