Analysis and Implementation of Social Robots to Increase Language Learning Capability
计算机科学
机器人
人机交互
人工智能
作者
Erwin Halim,Tiara Natasha Muliawan,David Sundaram
标识
DOI:10.1109/ice-smartech59237.2023.10461951
摘要
Learning a language might seem like a challenging task. Fortunately, social robots are becoming more popular in certain parts of the world, especially in education. Social robots are believed to accelerate language learning, ultimately increasing language learning abilities. Thus, the purpose of this research is to prove whether the implementation of social robots can potentially have a positive influence on the language learning process. Several factors will be tested to support the purpose of this research; this includes the perceived value of social robots, intention to use social robots, perceived usefulness, robots' service assurance, empathy of social robots, information sharing process, perceived ease of use, robots' tangibles, robots' engagement, disadvantages of using robots, and advantages of using robots. The sampling method used in this research is non-probability purposive sampling. One hundred fifty-five participants from the JABODETABEK area and nine outside of the area participated in this study. Study participants must fill in an online Google Form questionnaire, and the data will be analyzed further using SMART PLS. The study results indicate that only six out of eleven hypotheses have a significant impact.