Development and Research of an Affective Learning System Combined with Motion-Sensing Interaction, Augmented Reality, and Mid-Air Projection
Abstract
The present study developed a novel learning system by using a combination of motion-sensing interaction, augmented reality, and mid-air projection technologies. To measure the system usability, user satisfaction of system interactions, and the relationship between users’ operation behaviors and their emotions for users of different learning styles, the present study used the VAK learning styles questionnaire, the system usability scale (SUS), the questionnaire for user interaction satisfaction (QUIS), and sequence analysis. A total of 43 users from Tainan, Taiwan participated in this study.
The experiment results showed that the SUS had a mean score of 73.8 (indicating favorable system usability) and that the user satisfaction scale had a mean score of 5.46 (which was higher than the mean of 4 on the 7-point scale, indicating that the users were subjectively satisfied with the system’s human-computer interactions). The present study obtained the following results: On the whole, the users were more likely to change from courses to games when they experienced negative emotions; users with a visual learning style were likely to switch between courses and games when they experienced negative emotions; the vast majority of the operation behaviors of users with an auditory learning style were categorized as “no emotions” because the teaching materials that were favorable to such a learning style were insufficient; and that the operation behaviors of users with a kinesthetic learning style were relatively more diversified, in which none of the operation behaviors accounted for a high percentage.
Hao-Chiang Koong Lin, Wen-Chun Hsu, Tao-Hua Wang, Yu-Chun Ma, Meng-Chun Tsai, "Development and Research of an Affective Learning System Combined with Motion-Sensing Interaction, Augmented Reality, and Mid-Air Projection," Journal of Internet Technology, vol. 19, no. 6 , pp. 1951-1960, Nov. 2018.
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