Modeling Human Behavior in Human-Robot Interactions

A. Zgonnikov, Serge Thill, Philipp Beckerle, C.M. Jonker

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review


This interdisciplinary workshop aims to break boundaries between the researchers who develop human models (e.g., from the fields of human factors, cognitive psychology, and computational neuroscience) and roboticists who use human models in different human-robot interaction (HRI) contexts. The keynote talks, contributed submissions, and interactive discussions will focus on the questions such as: How can modeling humans help us understand and design human-robot interactions? What kinds of models are useful for which HRI contexts (physical/cognitive interactions) and purposes (behavior prediction/personalization/theory-of-mind/etc.)? What common lessons can be learned from human behavior modeling in HRI across different application domains? How can modeling humans in HRI tasks help us to better understand human cognition/behavior? By stimulating an interdisciplinary conversation around these questions, we aim to raise awareness of the benefits of modeling and expose the wider HRI community to a variety of different modeling approaches, and facilitate the HRI researchers who already engage in modeling to exchange views on methodology of modeling and best practices from diverse fields.
Original languageEnglish
Title of host publicationProceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction (HRI '22)
EditorsDaisuke Sakamoto, Astrid Weiss
ISBN (Electronic)978-1-6654-0731-1
ISBN (Print)978-1-5386-8554-9
Publication statusPublished - 2022
EventHRI 2022: 17th Annual ACM/IEEE International Conference on Human-Robot Interaction - Online, Sapporo, Hokkaido, Japan
Duration: 7 Mar 202210 Mar 2022


ConferenceHRI 2022: 17th Annual ACM/IEEE International Conference on Human-Robot Interaction
Abbreviated titleHRI '22
CitySapporo, Hokkaido
Internet address

Bibliographical note

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