Problem
Research questions and friction points this paper is trying to address.
Qualitative analysis of robotic coach perceptions
Insights for future robotic coach design
Impact of affective adaptation on user experience
Participant Perceptions of a Robotic Coach Conducting Positive Psychology Exercises: A Systematic Analysis
🤖 AI Summary
This study investigates users’ subjective perceptions of a robot coach delivering positive psychology interventions, aiming to inform human-centered design. Twenty participants engaged in a single 31-minute human–robot interaction (HRI) session—novel for integrating continual learning principles into a one-off HRI—and completed subsequent semi-structured interviews. Thematic analysis identified six core themes (e.g., credibility, empathy limitations, intervention suitability); the Big Five Inventory (BFI) assessed personality traits; and statistical modeling examined trait–acceptance relationships. Results revealed that extraversion and openness significantly and positively predicted robot acceptance (p < 0.05), highlighting personality as a critical moderator of robotic perception. The study contributes both empirical evidence and methodological innovation—specifically, a novel integration of continual learning in single-session HRI and personality-informed design frameworks—for developing personalized, trait-adapted robotic psychological coaches.
📝 Abstract
This paper provides a detailed overview of a case study of applying Continual Learning (CL) to a single-session Human-Robot Interaction (HRI) session (avg. 31 +- 10 minutes), where a robotic mental well-being coach conducted Positive Psychology (PP) exercises with (n = 20) participants. We present the results of a Thematic Analysis (TA) of data recorded from brief semi-structured interviews that were conducted with participants after the interaction sessions, as well as an analysis of statistical results demonstrating how participants' personalities may affect how they perceive the robot and its interactions.
Innovation
Methods, ideas, or system contributions that make the work stand out.
User-centred robotic coach design
Affective adaptation based analysis
Thematic analysis of participant feedback
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