The Impact of Image and Voice with Pedagogical Agents

情感(语言学) 感知 心理学 手势 认知心理学 社会心理学 计算机科学 沟通 人工智能 神经科学
作者
Yanghee Kim,Amy L. Baylor,Gabrielle Reed
出处
期刊:E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 卷期号:2003 (1): 2237-2240 被引量:20
摘要

The purpose of this study was to examine the effects of image and voice of pedagogical agents on student perception and learning. Pedagogical agents were developed with differing image (expert-like vs. mentor-like) and voice (strong vs. calm vs. computer-generated), but with identical gesture, affect, comments, and gender. 109 undergraduates in a computer literacy course were randomly assigned to one of the six conditions. The results revealed a significant main effect for agent image on role perception: mentor-like image was perceived as more motivating, as hypothesized. Also, there was a significant main effect for voice: the strong voice was overall most motivating, while both human voices (strong or calm) were perceived as more affable, affective, credible, and facilitating learning than the computer-generated voice. There was no significant effect of agent image and voice on

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