Gustav Lymer

Papers

Total Citations

H-Index

About

Gustav Lymer is a researcher at the forefront of human-robot interaction (HRI), with a particular focus on the micro-level dynamics of social encounters. His work bridges ethnomethodology and conversation analysis to understand how humans and robots coordinate meaning in real time. Lymer’s most-cited study, “Managing Turn-Taking in Human-Robot Interactions” (2023), draws on 15 video-recorded sessions of dyadic interactions with the social robot Furhat. This work reveals how human participants actively orient to and repair violations of normative turn-taking order, demonstrating that even subtle robotic missteps can disrupt the shared rhythm of conversation. By analyzing these moments of breakdown and recovery, Lymer provides critical insights for designing more responsive and socially aware robots. His research contributes to a growing understanding that fluid human-robot collaboration depends not just on technical capability, but on the robot’s ability to respect and participate in the tacit rules of social interaction. With a citation count reflecting the timeliness of his contributions, Lymer is shaping a new generation of HRI design grounded in empirical, interactional evidence.