Abstract
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.
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Hsieh, R., Sato, H. Evaluation of avatar and voice transform in programming e-learning lectures. J Multimodal User Interfaces 15, 121–129 (2021). https://doi.org/10.1007/s12193-020-00349-5
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DOI: https://doi.org/10.1007/s12193-020-00349-5