The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
The effect of head-nod recognition in human-robot conversation,
Abstract
This paper reports on a study of human participants with a robot designed to participate in a collaborative conversation with a human. The purpose of the study was to investigate a particular kind of gestural feedback from human to the robot in these conversations: head nods. During these conversations, the robot recognized head nods from the human participant. The conversations between human and robot concern demonstrations of inventions created in a lab. We briefly discuss the robot hardware and architecture and then focus the paper on a study of the effects of understanding head nods in three different conditions. We conclude that conversation itself triggers head nods by people in human-robot conversations and that telling participants that the robot recognizes their nods as well as having the robot provide gestural feedback of its nod recognition is effective in producing more nods.
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“There is some evidence suggesting that when agents provide feedback, users also expect their own feedback to be understood by the agent (Sidner et al., 2006; Kontogiorgos et al., 2021; Laban et al., 2021).”
From Modeling Feedback in Interaction With Conversational Agents—A Review (2022) · cites this paper as Sidner et al., 2006
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Self-citationTowards Context-Based Visual Feedback Recognition for Embodied Agents
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Self-citation
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Sorted by citations
Latent-Dynamic Discriminative Models for Continuous Gesture Recognition
Morency, L., Quattoni, A., & Darrell, T. (2007) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2007.383299 · Cited by 376
Self-citationLarge language models for human–robot interaction: A review
Zhang, C., Chen, J., Li, J., Peng, Y., & Mao, Z. (2023) · Biomimetic Intelligence and Robotics · doi:10.1016/j.birob.2023.100131 · Cited by 309
Evaluating Human-Robot Interaction
Young, J. E., Sung, J.-Y., Voida, A., Sharlin, E., Igarashi, T., Christensen, H. I., & Grinter, R. E. (2010) · International Journal of Social Robotics · doi:10.1007/s12369-010-0081-8 · Cited by 231
When my robot smiles at me: Enabling human-robot rapport via real-time head gesture mimicry
Riek, L. D., Paul, P. C., & Robinson, P. (2009) · Journal on Multimodal User Interfaces · doi:10.1007/s12193-009-0028-2 · Cited by 180
Engagement in human-agent interaction: An overview
Oertel, C., Castellano, G., Chetouani, M., Nasir, J., Obaid, M., Pelachaud, C., & Peters, C. (2020) · Frontiers in Robotics and AI · doi:10.3389/frobt.2020.00092 · Cited by 160
Metadata
- Authors
- Sidner, C. L., Lee, C., Morency, L.-P., & Forlines, C.
- Affiliations
- Mitsubishi Electric Research Laboratories (United States) (US)
- MIT Computer Science and Artificial Intelligence Laboratory (US)
- Venue
- Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
- Publisher
- ACM
- Published
- 2006-03-02
- Pages
- 290-296
- OpenAlex
- W2164349427
- Cited by
- 107
- References
- 17
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 1 · 2023: 4 · 2022: 5 · 2021: 8 · 2020: 2 · 2019: 3 · 2018: 5 · 2017: 4 · 2016: 5 · 2015: 11 · 2014: 5 · 2013: 9 · 2012: 6
- FWCI
- 10.61
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM/IEEE International Conference on Human-Robot Interaction (HRI) (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Social Sciences › Arts and Humanities › Language and Linguistics › Language, Discourse, Communication Strategies
- Keywords
- collaborative dialogue, robot social interaction, conversational robots
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