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Effects of anticipatory action on human-robot teamwork efficiency, fluency, and perception of team
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“In addition, self-report methods were used along with measures of concurrent motion (Hoffman & Breazeal, 2007), and others inferred coordination based on the team’s level of performance (e.g., Harbers et al., 2011).”
From Human–Autonomy Teaming: A Review and Analysis of the Empirical Literature (2022) · cites this paper as Hoffman & Breazeal, 2007
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Research works printed but not linked: 23
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Cited by
Human trust in artificial intelligence: Review of empirical research
Glikson, E., & Woolley, A. W. (2020) · Academy of Management Annals · doi:10.5465/annals.2018.0057 · Cited by 2,921
Human–Autonomy Teaming: A Review and Analysis of the Empirical Literature
O’Neill, T., McNeese, N., Barron, A., & Schelble, B. (2022) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720820960865 · Cited by 695
Design of a virtual reality training system for human–robot collaboration in manufacturing tasks
Matsas, E., & Vosniakos, G.-C. (2017) · International Journal on Interactive Design and Manufacturing (IJIDeM) · doi:10.1007/s12008-015-0259-2 · Cited by 238
Anticipatory robot control for efficient human-robot collaboration
Huang, C.-M., & Mutlu, B. (2016) · 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri.2016.7451737 · Cited by 227
Liang, X., Sheng, L., & Cai, J. (2025) · Advanced Engineering Informatics · doi:10.1016/j.aei.2025.103591 · Cited by 8
Metadata
- Authors
- Hoffman, G., & Breazeal, C.
- Affiliations
- MIT Media Laboratory, Cambridge, MA
- Venue
- Proceedings of the ACM/IEEE international conference on Human-robot interaction
- Publisher
- ACM
- Published
- 2007-03-10
- Pages
- 1-8
- Cited by
- 134
- References
- 0
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
