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The advancements in mobile human-computer interaction (HCI) and human-robot interaction (HRI) have led to the design and development of innovative systems that use cutting-edge technologies. Augmented, Virtual, and eXtended Reality can enhance those interactions. In the present study, a system that utilizes mobile augmented reality (AR) for human-robot interaction in a learning environment is presented. The objective of this learning system is to provide students with enriched learning experiences. Students interact with augmented reality and a socially assistive robot in an educational context. The communication between the AR application and the robot is achieved using a client-server model. The evaluation of the system included a heuristic evaluation and a workload assessment. The results showed that the system has high scores in Nielsen’s heuristics and relatively low workload demands. However, the system limitations are pointed out. Successful system communication enables new possibilities for enriched HRI in educational settings. The implementation of the system in students and teachers will provide useful insight regarding its value in the teaching and learning process.

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Enhancing Learning Through Social Assistive Robotics and Augmented Reality: An Interactive Educational System Design and Evaluation

  • 会议论文

  • 发表日期：

    2025年

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  • Christina Pasalidou,
  • Konstantinos Klimantakis,
  • Nikolaos Fachantidis

摘要

The advancements in mobile human-computer interaction (HCI) and human-robot interaction (HRI) have led to the design and development of innovative systems that use cutting-edge technologies. Augmented, Virtual, and eXtended Reality can enhance those interactions. In the present study, a system that utilizes mobile augmented reality (AR) for human-robot interaction in a learning environment is presented. The objective of this learning system is to provide students with enriched learning experiences. Students interact with augmented reality and a socially assistive robot in an educational context. The communication between the AR application and the robot is achieved using a client-server model. The evaluation of the system included a heuristic evaluation and a workload assessment. The results showed that the system has high scores in Nielsen’s heuristics and relatively low workload demands. However, the system limitations are pointed out. Successful system communication enables new possibilities for enriched HRI in educational settings. The implementation of the system in students and teachers will provide useful insight regarding its value in the teaching and learning process.