Personality perception of robot avatar tele-operators
Open accessAbstract
Nowadays a significant part of human-human interaction takes place over distance. Tele-operated robot avatars, in which an operator's behaviours are portrayed by a robot proxy, have the potential to improve distance interaction, e.g., improving social presence and trust. However, having communication mediated by a robot changes the perception of the operator's appearance and behaviour, which have been shown to be used alongside vocal cues in judging personality. In this paper we present a study that investigates how robot mediation affects the way the personality of the operator is perceived. More specifically, we aim to investigate if judges of personality can be consistent in assessing personality traits, can agree with one another, can agree with operators' self-assessed personality, and shift their perceptions to incorporate characteristics associated with the robot's appearance. Our experiments show that (i) judges utilise robot appearance cues along with operator vocal cues to make their judgements, (ii) operators' arm gestures reproduced on the robot aid personality judgements, and (iii) how personality cues are perceived and evaluated through speech, gesture and robot appearance is highly operator-dependent. We discuss the implications of these results for both tele-operated and autonomous robots that aim to portray personality.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Much of the relevant research has focused on imbuing voice-based, embodied, and robot-based chatbots with personalities using nonverbal cues such as gestures, gaze, voice tone and speed, and proximity.
“Much of the relevant research has focused on imbuing voice-based, embodied, and robot-based chatbots with personalities using nonverbal cues, such as gestures [20,21] gaze [22], voice tone and speed [23], and proximity [24].”
From Interacting with a Chatbot-Based Advising System: Understanding the Effect of Chatbot Personality and User Gender on Behavior (2022) · cites this paper as [20]
Cites
Intraclass correlations: Uses in assessing rater reliability.
Shrout, P. E., & Fleiss, J. L. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.2.420 · Cited by 23,433 · see citing works
Rammstedt, B., & John, O. P. (2007) · Journal of Research in Personality · doi:10.1016/j.jrp.2006.02.001 · Cited by 4,244 · see citing works
On the accuracy of personality judgment: A realistic approach
Funder, D. C. (1995) · Psychological Review · doi:10.1037/0033-295x.102.4.652 · Cited by 1,342 · see citing works
Connelly, B. S., & Ones, D. S. (2010) · Psychological Bulletin · doi:10.1037/a0021212 · Cited by 1,059 · see citing works
Trait inferences: Sources of validity at zero acquaintance.
Borkenau, P., & Liebler, A. (1992) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.62.4.645 · Cited by 609 · see citing works
An evaluation of the consequences of using short measures of the Big Five personality traits.
Credé, M., Harms, P. D., Niehorster, S., & Gaye, A. (2012) · Journal of Personality and Social Psychology · doi:10.1037/a0027403 · Cited by 596 · see citing works
Mechatronic design of NAO humanoid
Gouaillier, D., Hugel, V., Blazevic, P., et al. (2009) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2009.5152516 · Cited by 570 · see citing works
A Survey of Personality Computing
Vinciarelli, A., & Mohammadi, G. (2014) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2014.2330816 · Cited by 540 · see citing works
Personality Judgments Based on Physical Appearance
Naumann, L. P., Vazire, S., Rentfrow, P. J., & Gosling, S. D. (2009) · Personality and Social Psychology Bulletin · doi:10.1177/0146167209346309 · Cited by 535 · see citing works
Statistical Inference for Coefficient Alpha
Feldt, L. S., Woodruff, D. J., & Salih, F. A. (1987) · Applied Psychological Measurement · doi:10.1177/014662168701100107 · Cited by 526 · see citing works
Thin slices of behavior as cues of personality and intelligence
Borkenau, P., Mauer, N., Riemann, R., Spinath, F. M., & Angleitner, A. (2004) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.86.4.599 · Cited by 519 · see citing works
A thin slice perspective on the accuracy of first impressions
Carney, D. R., Colvin, C. R., & Hall, J. A. (2007) · Journal of Research in Personality · doi:10.1016/j.jrp.2007.01.004 · Cited by 358 · see citing works
O’Conaill, B., Whittaker, S., & Wilbur, S. (1993) · Human-Computer Interaction · doi:10.1207/s15327051hci0804_4 · Cited by 349 · see citing works
Consensus in interpersonal perception: Acquaintance and the big five.
Kenny, D. A., Albright, L., Malloy, T. E., & Kashy, D. A. (1994) · Psychological Bulletin · doi:10.1037/0033-2909.116.2.245 · Cited by 269 · see citing works
Lee, M. K., & Takayama, L. A. (2011) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1978950 · Cited by 263 · see citing works
Behavioral manifestations of personality: An ecological approach to judgmental accuracy.
Funder, D. C., & Sneed, C. D. (1993) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.64.3.479 · Cited by 236 · see citing works
The YouTube Lens: Crowdsourced Personality Impressions and Audiovisual Analysis of Vlogs
Biel, J.-I., & Gatica-Perez, D. (2013) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2012.2225032 · Cited by 209 · cited 2× · see citing works
“To facilitate this we aim to apply automated personality classifiers to our data (such as [29], [37]), which can extract and identify useful cues automatically.”
MethodEdwards, A. L. (1948) · Psychometrika · doi:10.1007/bf02289261 · Cited by 198 · see citing works
Impression formation: The role of expressive behavior.
Riggio, R. E., & Friedman, H. S. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.50.2.421 · Cited by 175 · see citing works
Daly-Jones, O., Monk, A. F., & Watts, L. A. (1998) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1998.0195 · Cited by 150 · see citing works
Aly, A., & Tapus, A. (2013) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri.2013.6483606 · Cited by 148 · see citing works
What Does My Avatar Say About Me? Inferring Personality From Avatars
Fong, K., & Mar, R. A. (2015) · Personality and Social Psychology Bulletin · doi:10.1177/0146167214562761 · Cited by 112 · see citing works
Rae, I., Takayama, L. A., & Mutlu, B. (2013) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2470654.2466253 · Cited by 99 · see citing works
Moretti, R. J., & Rossini, E. D. (2018) · Springer eBooks · doi:10.1007/978-3-319-33228-4_202 · Cited by 75 · see citing works
Display and Presence Disparity in Mixed Presence Groupware
Tang, A., Boyle, M., & Greenberg, S. (2003) · doi:10.11575/prism/30675 · Cited by 72 · see citing works
Çeliktutan, O., & Güneş, H. (2015) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2015.2513401 · Cited by 70 · see citing works
Shaking Hands and Cooperation in Tele-present Human-Robot Negotiation
Bevan, C., & Fraser, D. S. (2015) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/2696454.2696490 · Cited by 68 · see citing works
Immersive 3-D teleoperation of a search and rescue robot using a head-mounted display
Martins, H., & Ventura, R. (2009) · 2009 IEEE Conference on Emerging Technologies & Factory Automation · doi:10.1109/etfa.2009.5347014 · Cited by 63 · see citing works
The effects of avatar appearance on interviewer ratings in virtual employment interviews
Behrend, T. S., Toaddy, S. R., Thompson, L. F., et al. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.06.017 · Cited by 52 · see citing works
Ađalgeirsson, S. Ö., & Breazeal, C. (2010) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/1734454.1734467 · Cited by 44 · see citing works
Yamazaki, R., Nishio, S., Ogawa, K., & Ishigur, H. (2012) · IEEE RO-MAN · doi:10.1109/roman.2012.6343890 · Cited by 38 · see citing works
Incorporated identity in interaction with a teleoperated android robot: A case study
Straub, I., Nishio, S., & Ishiguro, H. (2010) · doi:10.1109/roman.2010.5598695 · Cited by 35 · see citing works
Personality distortion in communication through teleoperated robots
Kuwamura, K., Minato, T., Nishio, S., et al. (2012) · doi:10.1109/roman.2012.6343730 · Cited by 25 · see citing works
Reading Personality: Avatar vs. Human Faces
Wang, Y., Geigel, J., & Herbert, A. M. (2013) · doi:10.1109/acii.2013.85 · Cited by 24 · see citing works
Bremner, P., & Leonards, U. (2015) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2015.7139460 · Cited by 14 · see citing works
Self-citationCooperative tabletop working for humans and humanoid robots: Group interaction with an avatar
Mamode, H., Bremner, P., Pipe, T., & Carse, B. (2013) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2013.6630574 · Cited by 9 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Kuhail, M. A., Thomas, J., Alramlawi, S., Shah, S. J. H., & Thornquist, E. (2022) · Informatics · doi:10.3390/informatics9040081 · Cited by 59 · see citing works
- Authors
- Bremner, P., Celiktutan, O., & Gunes, H.
- Affiliations
- University of the West of England (GB)
- ORCID
- Bremner, Paul
- Venue
- 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
- Publisher
- IEEE
- Published
- 2016-03
- Pages
- 141-148
- OpenAlex
- W4242755442
- Cited by
- 36
- References
- 36
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 5 · 2023: 2 · 2022: 10 · 2021: 1 · 2020: 4 · 2019: 2 · 2018: 1 · 2017: 2 · 2016: 2
- FWCI
- 3.94
- Type
- conference paper
- Language
- en
- Open access
- green
- eprints.uwe.ac.uk
- Licence
- cc-by
- Locations
- ACM/IEEE International Conference on Human-Robot Interaction (HRI) (publishedVersion)
- UWE Research Repository (UWE Bristol) (submittedVersion, cc-by)
- Apollo (University of Cambridge) (submittedVersion)
- Apollo
- Funders
- Engineering and Physical Sciences Research Council (EP/L00416X/1)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Physical Sciences › Engineering › Mechanical Engineering › Teleoperation and Haptic Systems
- Keywords
- personality perception, social presence, trust, vocal cues, arm gestures, interobserver agreement, autonomous robots
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
