Effects of Language Variety on Personality Perception in Embodied Conversational Agents
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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 [21]
Cites
A very brief measure of the Big-Five personality domains
Gosling, S. D., Rentfrow, P. J., & Swann, W. B. (2003) · Journal of Research in Personality · doi:10.1016/s0092-6566(03)00046-1 · Cited by 8,307 · see citing works
Nonverbal communication in human interaction
Knapp, M. L. (1972) · Cited by 2,209 · see citing works
Evaluating the Effect of Gesture and Language on Personality Perception in Conversational Agents
Neff, M., Wang, Y., Abbott, R., & Walker, M. A. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15892-6_24 · Cited by 149 · see citing works
Lippa, R. A. (1998) · Journal of Research in Personality · doi:10.1006/jrpe.1997.2189 · Cited by 111 · see citing works
Bodily communication and personality
Campbell, A. C., & Rushton, J. P. (1978) · British Journal of Social and Clinical Psychology · doi:10.1111/j.2044-8260.1978.tb00893.x · Cited by 97 · see citing works
Don’t Scratch! Self-adaptors Reflect Emotional Stability
Neff, M., Toothman, N., Bowmani, R., Tree, J. E. F., & Walker, M. A. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23974-8_43 · Cited by 76 · see citing works
Individual Differences in Movement
Kirkcaldy, B. D. (1985) · Medical Entomology and Zoology · Cited by 61 · see citing works
Personality theory and movement
Brebner, J. (1985) · Springer eBooks · doi:10.1007/978-94-009-4912-6_2 · Cited by 52 · see citing works
Modeling and interpolation of Austrian German and Viennese dialect in HMM-based speech synthesis
Pucher, M., Schabus, D., Yamagishi, J., et al. (2009) · Speech Communication · doi:10.1016/j.specom.2009.09.004 · Cited by 39 · see citing works
Individualized Agent Interactions
Damian, I., Endraß, B., Huber, P., Bee, N., & André, E. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-25090-3_2 · Cited by 23 · see citing works
Self-citationMultisyn voices from ARCTIC data for the blizzard challenge
Clark, R. A., Richmond, K., & King, S. (2005) · Interspeech (USB) · doi:10.21437/interspeech.2005-78 · Cited by 17 · see citing works
Modeling Austrian dialect varieties for TTS
Neubarth, F., Pucher, M., & Kranzler, C. (2008) · Interspeech (USB) · doi:10.21437/interspeech.2008-188 · Cited by 8 · see citing works
Social Evaluation of Artificial Agents by Language Varieties
Krenn, B., Schreitter, S., Neubarth, F., & Sieber, G. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33197-8_39 · Cited by 8 · see citing works
Self-citationResources for Speech Synthesis of Viennese Varieties
Pucher, M., Neubarth, F., Strom, V., et al. (2010) · Language Resources and Evaluation Conference (LREC) · doi:10.63317/4ztm9chitncj · Cited by 8 · see citing works
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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
Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data
Wei, J., Kim, S., Jung, H., & Kim, Y.-H. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3637364 · Cited by 84 · see citing works
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
- Krenn, B., Endrass, B., Kistler, F., & André, E.
- Affiliations
- Austrian Research Institute for Artificial Intelligence (AT)
- University of Augsburg (DE)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2014
- Pages
- 429-439
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2273617670
- Cited by
- 13
- References
- 14
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2023: 1 · 2022: 5 · 2021: 1 · 2020: 1 · 2016: 1 · 2014: 1
- FWCI
- 1.28
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in computer science (publishedVersion)
- OPUS (Augsburg University) (submittedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Keywords
- embodied conversational agents, personality perception, language varieties, synthetic speech, extraversion-introversion, standard German, virtual characters, speech synthesis
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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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