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Evaluation of avatar and voice transform in programming e-learning lectures
Journal on Multimodal User Interfaces ( IF 2.2 ) Pub Date : 2020-10-26 , DOI: 10.1007/s12193-020-00349-5
Rex Hsieh , Hisashi Sato

This article reports the effectiveness of high frame rate facial animated avatar and voice transformer in eLearning. Three avatars: (real male professor, male avatar, female avatar) were combined with male professor’s voice or VT-4 vocoder transformed voice to create six distinguished videos which were then viewed by university freshmen students. A total of 186 students divided into 15 groups participated in this experiment. Female avatar was the most appealing avatar visually, but its combination with voice transform severely hinders its overall score. This research can be extended to real time live evaluation measuring preferences of students and draw more connections between student perception of avatar and actual lecturers.



中文翻译:

编程电子学习讲座中的化身和语音转换评估

本文报告了高帧速面部动画化身和语音转换器在电子学习中的有效性。三个化身:(真正的男教授,男化身,女化身)与男教授的语音或VT-4声码器转换后的语音相结合,创建了六个出色的视频,然后由大学新生观看。共有186名学生(分为15组)参加了该实验。女性化身在视觉上是最吸引人的化身,但其与语音转换的结合严重阻碍了其总体得分。这项研究可以扩展到实时实时评估,以评估学生的喜好,并在学生对虚拟形象的感知与实际讲师之间建立更多的联系。

更新日期:2020-10-27
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