The work presented in this paper aims to explore how, and to what extent, an adaptive robotic coach has the potential to provide extra motivation to adhere to long-term rehabilitation and help fill the coaching gap which occurs during repetitive solo practice in high performance sport. Adapting the behavior of a social robot to a specific user, using reinforcement learning (RL), could be a way of increasing adherence to an exercise routine in both domains. The requirements gathering phase is underway and is presented in this paper along with the rationale of using RL in this context.
|Title of host publication||AAAI Fall Symposium Series Technical Reports|
|Publication status||Published - 13 Nov 2019|
|Event||AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction - Arlington, United States|
Duration: 7 Nov 2019 → 9 Nov 2019
|Conference||AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction|
|Abbreviated title||AI-HRI 2019|
|Period||7/11/19 → 9/11/19|