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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Cites
Clark, H. H. (1996) · doi:10.1017/cbo9780511620539 · Cited by 5,123
(1997) · Choice Reviews Online · doi:10.5860/choice.34-3702 · Cited by 4,872
Explorations in engagement for humans and robots
Sidner, C. L., Lee, C. W., Kidd, C. D., Lesh, N. B., & Rich, C. (2005) · Artificial Intelligence · doi:10.1016/j.artint.2005.03.005 · Cited by 559
Self-citationCreating interactive virtual humans: some assembly required
Gratch, J. S., Rickel, J. W., André, E., Cassell, J., Petajan, E. D., & Badler, N. I. (2002) · IEEE Intelligent Systems · doi:10.1109/mis.2002.1024753 · Cited by 389
Collagen: applying collaborative discourse theory to human-computer interaction
Rich, C., Sidner, C. L., & Lesh, N. B. (2001) · doi:10.1609/aimag.v22i4.1589 · Cited by 289
Self-citationDesigning social presence of social actors in human computer interaction
Lee, K. M., & Nass, C. (2003) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/642611.642662 · Cited by 257
TUTELAGE AND COLLABORATION FOR HUMANOID ROBOTS
Breazeal, C., BROOKS, A., Gray, J., Hoffman, G., Kidd, C. D., LEE, H., Lieberman, J., Thomaz, A. L., & CHILONGO, D. (2004) · International Journal of Humanoid Robotics · doi:10.1142/s0219843604000150 · Cited by 246
Recognition of Affective Communicative Intent in Robot-Directed Speech
Breazeal, C., & Aryananda, L. (2002) · Autonomous Robots · doi:10.1023/a:1013215010749 · Cited by 241
Towards a model of face-to-face grounding
Nakano, Y., Reinstein, G., Stocky, T., & Cassell, J. (2003) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.3115/1075096.1075166 · Cited by 202
Contextual recognition of head gestures,
Morency, L.-P., Sidner, C., Lee, C., & Darrell, T. (2005) · Proceedings of the 7th international conference on Multimodal interfaces · doi:10.1145/1088463.1088470 · Cited by 130
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Research works printed but not linked: 1
- Minato , T. , MacDorman , K. , Simada , M. , Itakura , S. , Lee , K. and Ishiguro , H . Evaluating humanlikeness by comparing responses elicited by an android and a person , Proceedings of the Second Interantional Workshop on Man-Machine Symbiotic Systems , pp. 373 -- 383 , 2002 . Minato, T., MacDorman, K., Simada, M., Itakura, S., Lee, K. and Ishiguro, H. Evaluating humanlikeness by comparing responses elicited by an android and a person, Proceedings of the Second Interantional Workshop on Man-Machine Symbiotic Systems, pp. 373--383, 2002.
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Items 101–105 of 105
When Less Isn’t Less: Reducing DoF Does Not Weaken Robots’ Social Expressivity
Sadka, O., Kupferman, M., Megory, H., Simchon, L., Dagan, R., Benadon, G., Friedman, S., Gilbert, J. F., Zuckerman, O., & Erel, H. (2026) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3776734.3794411
Robotic Pet or Soft Toy? An Autoethnographic Study of Living with MetaCat in the Home
Muñoz, D., Wilding, E., Rogers, Y., de Kruiff, A., Pedell, S., Paay, J., Davis, H., An, L., & STERLING, L. S. (2026) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3834770
Visual Gesture Recognition for Fluent Musical Human-Robot Turn-Taking
Ajmani, J., Rogel, A., & Weinberg, G. (2026) · IEEE RO-MAN · doi:10.1109/ro-man72286.2026.11714854
Look at Me When I Talk to You: A Video Dataset to Enable Voice Assistants to Recognize Errors
Cuadra, A., Lee, H., Cho, J., & Ju, W. (2021) · arXiv · doi:10.48550/arxiv.2104.07153 · Cited by 5
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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