The use of social robots in education, healthcare, and rehabilitation contexts is increasingly widespread thanks to the enormous benefits and positive impacts they have proven to bring to these fields. In such application domains, the robot often fulfills the role of an expert tutor, generally with the ultimate goal of facilitating and encouraging the learning process, tackling the problem of low motivation and limited commitment to the task. In this perspective, it is crucial to understand how the complex and implicit social mechanisms driving human-human interactions evolve to ultimately address the problem of how to replicate a comparable level of social intelligence on a robot. The targeted application areas require adaptive, reliable, and autonomous solutions for achieving effective interactions over time, even in unstructured contexts. The main challenge for HRI in dealing with the complexity and unpredictability of such contexts is to design solutions that allow the robot to learn during deployment by exploiting its embodiment in the real world and interactions with its human partners. This thesis identifies and practically addresses some key questions and challenges in pursuit of one final goal: to contribute to the development of adaptive and autonomous social robot tutors that can interact with both individuals and groups in a personalized and effective way. We summarize these challenges in 4 key points: i) understand the impact of a social embodied agent providing physical assistance in motor learning tasks; ii) find solutions to let the robot autonomously organize its experience and learn to recognize the partners, also in unstructured scenarios (e.g., multiparty interactions); iii) provide solutions able to foster adaptation and personalization at different temporal levels (i.e., adaptation in real-time and across multiple encounters, to pursuit the final goal of long-term personalized solutions) and iv) the design of tutoring and behavioral robot strategies in groups. Our findings strengthened the ...
Personalizing social robot tutoring for individual and group interactions
16.06.2022
doi:10.15167/belgiovine-giulia_phd2022-06-16
Hochschulschrift
Elektronische Ressource
Englisch
DDC: | 629 |
PECAN: Personalizing Robot Behaviors through a Learned Canonical Space
ArXiv | 2024
|Trends in Vehicle Personalizing
SAE Technical Papers | 1986
|Personalizing the Driving Experience
British Library Conference Proceedings | 1998
|Trends in vehicle personalizing
Tema Archiv | 1986
|