Erik Lagerstedt
Papers
11
Total Citations
204
H-Index
6
About
Erik Lagerstedt’s research lies at the intersection of human-robot interaction (HRI), collaborative manufacturing, and social robotics, with a particular focus on how humans perceive, cooperate with, and enjoy interacting with robots. His most cited work, “Foundation for a classification of collaboration levels for human-robot cooperation in manufacturing” (97 citations), provides a foundational taxonomy that helps researchers and engineers design safer, more effective human-robot teams in Industry 4.0 settings. Lagerstedt has also made significant contributions to understanding gender dynamics in HRI, notably through his study on whether a gender-ambiguous voice can reduce gender stereotypes in human-robot interactions (19 citations). His critical review “15 Years of (Who)man Robot Interaction” (42 citations) exposed a troubling gender representation gap in HRI participant samples, prompting important methodological reflection in the field. More recently, he has pioneered work on automatic enjoyment detection in human-robot conversation using large language models, and developed the HRI CUES scale for measuring user enjoyment. His interdisciplinary approach—drawing lessons from human-animal interaction and multimodality—demonstrates a commitment to both rigorous evaluation and socially aware robot design.
Research Focus
Key Achievements
Top Papers
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- 7Human-Robot Interaction Conversational User Enjoyment Scale (HRI CUES)4 citations · 2025
- 8Multiple Roles of Multimodality Among Interacting Agents4 citations · 2022
- 9Sustainability-4-HRI, HRI-4-Sustainability3 citations · 2025
- 10Agent Autonomy and Locus of Responsibility for Team Situation Awareness3 citations · 2017