聊天机器人的面部表情变化对用户注意力和反应时间的影响
Kamil Bortko1, Kacper Fornalczyk1, Jarosław Jankowski1
1Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland.
PloS one
|July 27, 2023
概括
用户注意到聊天机器人显示积极情绪的速度快于显示负面情绪的机器人. 这项关于聊天机器人视觉线索的研究强调了情绪表达如何影响用户的注意力和参与在线交互的参与.
科学领域:
- 人与计算机的交互
- 情感计算是一种情感计算.
- 用户体验设计用户体验设计
背景情况:
- 在线平台上的有效沟通依赖于复杂的算法,自然语言处理和引人入胜的视觉表示.
- 聊天机器人必须在网站和应用程序上的众多竞争视觉元素中吸引用户的注意力.
- 视觉特征是吸引人们注意聊天机器人界面的关键,特别是那些位于屏幕边缘区域的界面.
研究的目的:
- 调查聊天机器人的情绪表达对用户反应时间的影响.
- 为了确定不同的情绪表达是否提高了聊天机器人的可见性.
- 分析用户对聊天机器人界面中不同情感线索的敏感性.
主要方法:
- 该研究分析了用户反应时间,观察他们对聊天机器人的情绪表达的敏感性.
- 测量了参与者的反应,以量化视觉情感线索的影响.
- 对积极与负面情绪表达的反应时间进行了比较分析.
主要成果:
- 用户在聊天机器人显示正面情绪时表现出更快的反应时间,而不是负面情绪.
- 在聊天机器人上,积极的面部表情被认为是显著地更明显的.
- 这表明用户偏好或对人-聊天机器人交互中的积极情感显示的高度敏感性.
结论:
- 聊天机器人的情绪表达显著影响用户的注意力和互动.
- 积极的情感线索在捕捉用户可见性方面更有效.
- 通过积极的情绪来优化聊天机器人的视觉设计,可以提高用户参与度和界面的可发现性.
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