Department of Industrial and Management Systems Engineering, Kyung Hee University, 1732, Deogyeong-daero, Giheung-gu, Yongin 17104, Korea.
Department of Industrial Engineering, Seoul National University, Seoul 08826, Korea.
Int J Environ Res Public Health. 2022 Sep 2;19(17):10988. doi: 10.3390/ijerph191710988.
Education using humanoid robots can have a positive impact in many fields, including in medical or physical training. This study investigated the effects of robot interactions with respect to facial expressions, gestures, voices and their combinations on the education of the elderly regarding information and communications technology (ICT) from functional and emotional perspectives. In this study, the robot's interaction methods were divided into four categories: (1) voice, (2) voice and expression, (3) voice and gesture, and (4) voice and expression and gesture. An experiment involving an educational application with a humanoid robot was conducted with a total of 15 elderly people over the age of 60. The effect of the humanoid robot's interaction method on education was identified by means of subjective survey evaluation and practice performance data analysis, including error rate, task success rate, and number of retrainings. Through the experiment, functional and emotional aspects of effects were measured. The results showed that performance and perceived effectiveness were not significantly affected by the type of robot interaction, but the degree to which the robot felt like it had emotions, the degree to which the robot felt like a human, and the degree to which the robot was friendly were significantly different according to the interaction type employed by the humanoid robot. The best effect was achieved when voice and gesture were used together during tutoring. Recognizing that ICT education using humanoid robots increases interest and participation in education, such robots are concluded to be a suitable method for performing ICT education. In addition, when designing robotic interactions, the use of the robot's voice and gestures together is expected to lead to greater anthropomorphism, resulting in a stronger relationship with humanoid robots.
教育使用人形机器人可以在许多领域产生积极影响,包括医学或体育训练。本研究从功能和情感角度调查了机器人与面部表情、手势、声音及其组合的交互作用对老年人信息和通信技术(ICT)教育的影响。在这项研究中,机器人的交互方式分为四类:(1)声音,(2)声音和表情,(3)声音和手势,以及(4)声音、表情和手势。一项涉及具有人形机器人的教育应用的实验是与 15 名 60 岁以上的老年人进行的。通过主观调查评估和实践绩效数据分析,包括错误率、任务成功率和重新培训次数,确定了人形机器人交互方式对教育的影响。通过实验,测量了效果的功能和情感方面。结果表明,机器人交互类型对性能和感知效果没有显著影响,但机器人是否具有情感、机器人是否像人类以及机器人是否友好的程度根据人形机器人采用的交互类型而有显著差异。在辅导过程中同时使用声音和手势可达到最佳效果。由于人形机器人使用增加了对教育的兴趣和参与度,因此可以得出结论,此类机器人是进行 ICT 教育的合适方法。此外,在设计机器人交互时,预计使用机器人的声音和手势可以实现更高的拟人化程度,从而与人形机器人建立更紧密的关系。