A Humanoid Social Agent Embodying Physical Assistance Enhances Motor Training Experience
| Autor: | Francesco Rea, Jacopo Zenzeri, Giulia Belgiovine, Alessandra Sciutti |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
030506 rehabilitation Trainer 05 social sciences Applied psychology Context (language use) 16. Peace & justice 050105 experimental psychology 03 medical and health sciences Computer Science - Robotics 0501 psychology and cognitive sciences 0305 other medical science Motor learning Psychology Robotics (cs.RO) iCub Motor skill Humanoid robot Haptic technology Social behavior |
| Zdroj: | RO-MAN 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) |
| Popis: | Skilled motor behavior is critical in many human daily life activities and professions. The design of robots that can effectively teach motor skills is an important challenge in the robotics field. In particular, it is important to understand whether the involvement in the training of a robot exhibiting social behaviors impacts on the learning and the experience of the human pupils. In this study, we addressed this question and we asked participants to learn a complex task - stabilizing an inverted pendulum - by training with physical assistance provided by a robotic manipulandum, the Wristbot. One group of participants performed the training only using the Wristbot, whereas for another group the same physical assistance was attributed to the humanoid robot iCub, who played the role of an expert trainer and exhibited also some social behaviors. The results obtained show that participants of both groups effectively acquired the skill by leveraging the physical assistance, as they significantly improved their stabilization performance even when the assistance was removed. Moreover, learning in a context of interaction with a humanoid robot assistant led subjects to increased motivation and more enjoyable training experience, without negative effects on attention and perceived effort. With the experimental approach presented in this study, it is possible to investigate the relative contribution of haptic and social signals in the context of motor learning mediated by human-robot interaction, with the aim of developing effective robot trainers. Accepted to IEEE RO-MAN 2020 |
| Databáze: | OpenAIRE |
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