Young and Elderly Users' Emotion Recognition of Dynamically Formed Expressions Made by a Non-Human Virtual Agent

Proceedings of the 7th International Conference on Human-Agent Interaction Pub Date : 2019-09-25 DOI:10.1145/3349537.3352783

Takashi Numata, Yasuhiro Asa, T. Kitagaki, T. Hashimoto, K. Karasawa

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引用次数: 4

Abstract

The development of non-human robots and virtual agents is focused on encouraging affective communication between humans and agents while supporting the daily life of individuals. For an agent to achieve affective communication with a wide range of users, understanding emotion recognition of an agent's expression is important. In previous studies, age has had an obvious effect on emotion recognition. However, the effect of age on emotion recognition in the context of non-human agents is not yet well understood. In this study, we investigated emotion recognition of young and elderly users when confronted with a non-human agent's expressions. A questionnaire with a seven-emotion alternative forced choice task was used to analyze emotion recognition in 62 young and 39 elderly users. Dynamically formed virtual agent expressions were used to analyze the effect of non-human expressions on emotion recognition. The elderly users had a higher variability of emotion recognition compared with the young users. Studying the individual characteristics of emotion recognition should be prioritized would allow for more affective communication between elderly users and non-human agents.

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青年和老年用户对非人类虚拟代理动态表情的情感识别

非人类机器人和虚拟代理的发展重点是鼓励人与代理之间的情感交流，同时支持个人的日常生活。为了使智能体与广泛的用户实现情感交流，理解智能体表达的情感识别是非常重要的。在以往的研究中，年龄对情绪识别有明显的影响。然而，年龄对非人类代理情境下情绪识别的影响尚未得到很好的理解。在这项研究中，我们调查了年轻和老年用户在面对非人类代理的表情时的情绪识别。采用包含7种情绪的强迫选择问卷，对62名年轻用户和39名老年用户的情绪识别能力进行了分析。采用动态生成的虚拟代理表情，分析非人类表情对情感识别的影响。与年轻用户相比，老年用户具有更高的情绪识别变异性。应该优先研究情感识别的个体特征，这将允许老年用户和非人类代理之间进行更有情感的交流。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 7th International Conference on Human-Agent Interaction

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