The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
“Design patterns for exploring and prototyping human-robot interactions,”
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Likewise, the field of Human-Robot Interaction (HRI) has studied how humans and robots communicate, collaborate, and engage with each other, often through the analysis of observable patterns in their interactions (David et al., 2022;Sauppé and Mutlu, 2014;Ma and Cao, 2019).”
From Human-AI collaboration is not very collaborative yet: a taxonomy of interaction patterns in AI-assisted decision making from a systematic review (2025) · cites this paper as Sauppé and Mutlu, 2014
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
An Empirical Evaluation of the System Usability Scale
Bangor, A., Kortum, P. T., & Miller, J. T. (2008) · International Journal of Human–Computer Interaction · doi:10.1080/10447310802205776 · Cited by 5,181
Research works printed but not linked: 26
- 10.1007/978-3-642-40415-3_22 · DOI
- Brandstätter V. Lengfelder A. and Gollwitzer P. Implementation intentions and efficient action initiation. Journal of personality and social psychology 81 5 (2001) 946--960. Brandstätter V. Lengfelder A. and Gollwitzer P. Implementation intentions and efficient action initiation. Journal of personality and social psychology 81 5 (2001) 946--960. · DOI · Paper page
- 10.1017/CBO9780511620539 · DOI · Paper page
- 10.1109/IROS.2012.6386105 · doi:10.1109/iros.2012.6386105
- Fong T. Thorpe C. and Baur C. Collaboration dialogue human-robot interaction. 255--266. Fong T. Thorpe C. and Baur C. Collaboration dialogue human-robot interaction. 255--266. · DOI · Paper page
- 10.1145/1349822.1349842 · DOI
- Glas D. F., 2012, Proc. RSS
- 10.2307/2095141 · DOI · Paper page
- Hsiao K.-Y., 2003, Proc. IROS
- 10.1145/2157689.2157694 · DOI
- 10.1145/1228716.1228749 · DOI
- 10.1145/1349822.1349836 · DOI
- 10.1145/1121241.1121254 · DOI
- 10.1080/10462938909365938 · DOI
- Lohse M., 2013, A modeling framework for user-driven iterative design of autonomous systems, International Journal of Social Robotics (, 1
- Matarazzo J., 2007, Aldine De Gruyter
- 10.1109/ICHR.2006.321322 · DOI · Paper page
- 10.1007/BF00987556 · DOI
- Peltason J., 2010, AAAI Symposium on Dialog with Robots
- 10.1145/566654.566636 · DOI · Paper page
- Quigley M., 2009, ICRA Workshop on Open Source Software
- 10.1353/lan.1974.0010 · DOI · Paper page
- Schegloff E., 1967, University of California
- 10.1525/aa.1968.70.6.02a00030 · DOI · Paper page
- 10.1093/applin/17.1.38 · DOI · Paper page
- Tannen D., 1989, Cambridge U
Cited by
Gomez, C., Cho, S. M., Ke, S., Huang, C.-M., & Unberath, M. (2025) · Frontiers in Computer Science · doi:10.3389/fcomp.2024.1521066 · Cited by 209
PopBlends: Strategies for Conceptual Blending with Large Language Models
Wang, S., Petridis, S., Kwon, T., Ma, X., & Chilton, L. B. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580948 · Cited by 64
User Interaction Patterns and Breakdowns in Conversing with LLM-Powered Voice Assistants
Mahmood, A., Wang, J., Yao, B., Wang, D., & Huang, C.-M. (2025) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2024.103406 · Cited by 51
Cheon, E., Zaga, C., Lee, H. R., Lupetti, M. L., Dombrowski, L., & Jung, M. F. (2021) · Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing · doi:10.1145/3462204.3481726 · Cited by 29
Metadata
- Authors
- Sauppé, A., & Mutlu, B.
- Affiliations
- University of Wisconsin, Madison, Madison, WI, USA
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2014-04-26
- Pages
- 1439-1448
- Cited by
- 47
- References
- 1
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: “Design patterns for exploring and prototyping human-robot interactions,”. https://app.cochat.ai/papers/10.1145/2556288.2557057
- The paper
- Sauppé, A., & Mutlu, B. (2014). “Design patterns for exploring and prototyping human-robot interactions,”. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/2556288.2557057
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.