User—robot personality matching and assistive robot behavior adaptation for post-stroke rehabilitation therapy
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Adapting the personality profile of a conversational agent to that of a user can make the agent more effective at encouraging and supporting behaviours.
“Adapting the personality profile of a conversational agent to that of a user can make the agent more effective at encouraging and supporting behaviours58.”
From A psychometric framework for evaluating and shaping personality traits in large language models (2025) · cites this paper as [58]
Cites
Nass, C., & Lee, K. M. (2001) · Journal of Experimental Psychology: Applied · doi:10.1037/1076-898x.7.3.171 · Cited by 522 · see citing works
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Interactions with robots: the truths we reveal about ourselves
Broadbent, E. (2017) · Annual Review of Psychology · doi:10.1146/annurev-psych-010416-043958 · Cited by 547 · see citing works
Morris, R. R., Kouddous, K., Kshirsagar, R., & Schueller, S. M. (2018) · Journal of Medical Internet Research · doi:10.2196/10148 · Cited by 273 · see citing works
Tapus, A., Tapus, C., & Mataric, M. J. (2009) · 2009 IEEE International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2009.5209501 · Cited by 212 · see citing works
Self-citationTrusting Virtual Agents: The Effect of Personality
Zhou, M. X., Mark, G., Li, J., & Yang, H. (2019) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3232077 · Cited by 176 · see citing works
First Impressions in Human--Agent Virtual Encounters
Cafaro, A., Vilhjálmsson, H. H., & Bickmore, T. (2016) · ACM Transactions on Computer-Human Interaction · doi:10.1145/2940325 · Cited by 120 · see citing works
Maroto-Gómez, M., Castro-González, Á., Castillo, J. C., Malfaz, M., & Salichs, M. Á. (2023) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-022-09321-2 · Cited by 37 · see citing works
A psychometric framework for evaluating and shaping personality traits in large language models
Serapio-García, G., Safdari, M., Crepy, C., Sun, L., Fitz, S., Romero, P., Abdulhai, M., Faust, A., & Matarić, M. (2025) · Nature Machine Intelligence · doi:10.1038/s42256-025-01115-6 · Cited by 30 · see citing works
Self-citation
- Authors
- Tapus, A., Ţăpuş, C., & Matarić, M. J.
- Affiliations
- University of Southern California (US)
- California Institute of Technology (US)
- Corresponding author
- Ţăpuş, Cristian
- Venue
- Intelligent Service Robotics
- Published
- 2008-02-13
- Volume
- 1
- Issue
- 2
- Pages
- 169-183
- ISSN
- 1861-2776 (ISSN-L)
- 1861-2784
- OpenAlex
- W2064012529
- Cited by
- 402
- References
- 1
- Citations by year
- 2026: 16 · 2025: 27 · 2024: 21 · 2023: 26 · 2022: 40 · 2021: 28 · 2020: 24 · 2019: 29 · 2018: 37 · 2017: 23 · 2016: 20 · 2015: 22 · 2014: 13 · 2013: 24 · 2012: 13
- FWCI
- 15.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Intelligent Service Robotics (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Keywords
- socially assistive robots, stroke rehabilitation, extraversion-introversion, behavioral adaptation, human-robot interaction, proxemics, user preferences
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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.
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