The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Second Chance to Make a First Impression? How Appearance and Nonverbal Behavior Affect Perceived Warmth and Competence of Virtual Agents over Time
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In the citing paper
“research shows that agents do have a second chance to make a first impression [13,29].”
From Embodied Conversational Agent Appearance for Health Assessment of Older Adults: Explorative Study (2020) · cites this paper as [13]
In the citing paper
“Existing research provides evidence for implementation of animations of the agent’s embodiment, showing that animations positively affect users’ impressions of the agent [38-40] and interaction time [13,39].”
From Embodied Conversational Agent Appearance for Health Assessment of Older Adults: Explorative Study (2020) · cites this paper as [13]
Citations
Cites
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Cited by
Sorted by citations
Items 101–127 of 127
Yuasa, M. (2020) · Journal of Advanced Computational Intelligence and Intelligent Informatics · doi:10.20965/jaciii.2020.p0404 · Cited by 2
One Size Does not Fit All: Personalised Affordance Design for Social Robots
Huang, G.-Y., & Moore, R. K. (2023) · doi:10.48550/arxiv.2312.06566 · Cited by 2
“It has also been used in studies of how people perceive virtual agents (e.g., [3]).”
BackgroundWang, S., Jiang, W., Zhang, X., Freeman, G., & Je, S. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790833
“Participants experienced what they described as a “double first impression”: an initial assessment in VR and a second, sometimes dissonant, assessment upon encountering the full embodied person [17].”
Beyond Words: Measuring User Experience through Speech Analysis in Voice User Interfaces
Ma, Y., Zhang, X.-S., Zhang, X.-D., Bartłomiejczyk, N., Je, S., Holzer, A., Fjeld, M., & Butz, A. M. (2026) · International Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791747 · Cited by 1
“System response latency, for instance, significantly influences perceived competence and responsiveness [6].”
Low perceived warmth of AI agents reduces trust towards them
Samson, K., & Zaleśkiewicz, T. (2026) · Scientific Reports · doi:10.1038/s41598-026-42252-1 · Cited by 3
“Previous research has identified warmth and competence as significant dimensions in the perception of AI agents, similarly to the perception of humans 3,28–30 .”
One size fits all? Transferring social mindfulness measures to HRI
Nientimp, D., Müller, B. C. N., Nijssen, S. R. R., & Heijselaar, E. (2026) · PLoS ONE · doi:10.1371/journal.pone.0339959 · Cited by 1
“Based on previous findings on the effect of anthropomorphism on perception of a mind behind the machine [10,17,29,53,54], we additionally investigated whether the effect of prolonged real-life interaction on social mindfulness was mediated by perceived anthropomorphism.”
Tusseyeva, I., Oleinikov, A., Sandygulova, A., & Rubagotti, M. (2023) · IEEE International Symposium on Robot and Human Interactive Communication · doi:10.1109/ro-man57019.2023.10309368 · Cited by 1
“In [25], [26], [30], [33] (none of them dealing with robot manipulators), either a negative or a positive effect of habituation of perceived intelligence was observed, even within the same work.”
BackgroundResultNi, L., Huang, Y., & Shi, W. (2023) · Journal of Public Relations Research · doi:10.1080/1062726x.2023.2249147 · Cited by 1
“Perceived warmth can be influenced by the target’s appearance, verbal, and nonverbal behaviors in social interactions (Bergmann et al., 2012).”
BackgroundResearch on Virtual Human Design in Smart Home
Yao, Z., Qiao, Y., & Xu, Q. (2023) · Journal of Computer-Aided Design & Computer Graphics · doi:10.3724/sp.j.1089.2023.20052
“在交流行为之外 , Bergmann 等 [4] 的工作表明 , 用户对于虚拟人的外观同样十分敏感 , 与机器人 形的虚拟人相比 , 人形虚拟人更能够令用户在第 一次和后续的长时间接触中感到更加舒适 .”
Shubham, K., Mukherjee, A., & Jayagopi, D. B. (2022) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3536221.3556592 · Cited by 1
“[64] shows how the avatar’s representation infuences the overall interactions in diferent contexts while [4] shows that the appearance of an agent impacts the ratings of warmth by human subjects.”
BackgroundLinking Theory of Mind in Human-Agent Interactions to Validated Evaluations
Heyselaar, E., & Bosse, T. (2021) · ACM International Conference on Intelligent Virtual Agents (IVA) · doi:10.1145/3472306.3478343 · Cited by 3
“…Presence [1,21], Godspeed Scales [3], Satisfaction in Interaction, The Immersive Experience Questionnaire B [20], Interpersonal Similarity [33], Trust [13], Believability [6], Politeness [22], Engaging [30], Warmth [5], Working Alliance Inventory [19] and Dimensions of Mind Perception [DMP; 11].”
BackgroundHow to Enhance Social Robots' Heartwarming Interaction in Service Encounters
Nakanishi, J., Baba, J., & Kuramoto, I. (2019) · International Conference on Human-Agent Interaction · doi:10.1145/3349537.3352798 · Cited by 1
“A heartwarming feeling was measured by warmth-related trait adjectives such as friendly, trustworthy, kind, sincere, helpful, and warm, which were picked up from common traits of a warmth scale in previous studies [3, 6– 8].”
MethodDevelopment of Human-agent Attachment by Form of Address
Kitamura, M., Kurata, K., Oya, K., & Watanabe, K. (2018) · International Conference on Human-Agent Interaction · doi:10.1145/3284432.3284446 · Cited by 1
“Although previous research on user’s evaluation for virtual agents for long duration is spars, few works reported that subjective impressions for robots or virtual agents were modulated by the experience of interactions with them [12] [15].”
BackgroundNunnemann, E., Bergmann, K., Kreysa, H., & Knoeferle, P. (2017) · AVSP .. · doi:10.21437/avsp.2017-4 · Cited by 1
“With the data from the transcription we then calculated the time course for Billie’s listener gaze behaviour, i.e. the delay with which the agent listener followed the human speaker’s gaze towards the referents of the spoken sentences.”
MethodInfluentialSelf-citationWargnier, P. (2016) · theses.fr (ABES) · doi:10.70675/1baabf41z050az431dz8096zfb6d37a5e283 · Cited by 1
“Je remercie également le président du jury, Mohamed Chetouani, ainsi que mes rapporteurs Stefan Kopp et Matthias Rauterberg, de m’avoir fait l’honneur d’accepter de siéger dans mon jury.”
BackgroundAn approach to evaluate the performance of a user affective agent
Puica, M. (2013) · International Conference on System Theory, Control and Computing · doi:10.1109/icstcc.2013.6689058 · Cited by 1
Buchem, I., Rosenberg‐Kima, R. B., Evermann, E., & Sutter, M. (2026) · Frontiers in Cognition · doi:10.3389/fcogn.2026.1886795
Liu, F. (2026) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-12-2025-2605
Li, W., Zhu, Z., Shan, M., Zhao, X., & Liu, F. (2026) · Journal of Hospitality Marketing & Management · doi:10.1080/19368623.2026.2642900
“However, social perception can be manipulated through various means such as language, gestures (Bergmann et al., 2012), and appearance (Liu et al., 2022).”
Wang, Q., Lau, R., & Zhang, X. (2025) · Internet Research · doi:10.1108/intr-10-2024-1548
Nam, H., Kang, S., Nguyen, T. A., Cho, I., Woo, W., & Kim, K. (2025) · Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR · doi:10.1109/ismar67309.2025.00089
“To develop the items for measuring warmth and competence, we reviewed several papers that measured these perceptions and extracted questions from [23, 33, 5].”
Akuffo, O. B., & Lugrin, B. (2025) · ACM International Conference on Intelligent Virtual Agents (IVA) · doi:10.1145/3717511.3747076
“In particular, race-specific ingroup favouritism has been demonstrated in several studies [2, 10, 71].”
Granting a Second Chance: How Recovery Strategies Shape Perceptions of Intelligent Agent Errors
Miao, X., Tang, J., Peng, K., & Wang, F. (2025) · IEEE RO-MAN · doi:10.1109/ro-man63969.2025.11217814 · Cited by 2
“Warmth and competence play a pivotal role in shaping and modifying first impressions [8].”
Age Regression for Human Voices
Schorradt, M. T., & Cunningham, D. (2022) · International Conference on Multimodal Interaction · doi:10.1145/3536221.3556599
“Naturally, since humans will use the socio-emotional qualities present in the synthetic voice as (part of) the basis for assigning the computer personality traits [4, 12], it should be possible to create a voice whose socio-emotional qualities match the abilities of the system.”
BackgroundOverfeed the Bold, Starve the Cowardly: A Legend or Reality?
Bi, Y., Xiang, Z., Li, S., & Zhang, B. (2017) · Journal of Gambling Studies · doi:10.1007/s10899-017-9739-6
“They can even have further impacts as the relationship develops (Bergmann et al. 2012).”
BackgroundTheory: Foundations of Quality in Natural and Synthesized Speech
Weiß, B. (2019) · T-labs series in telecommunication services · doi:10.1007/978-3-030-22769-2_1
Co-speech Gesture Generation for Embodied Agents and its Effects on User Evaluation
Bergmann, K. (2013) · CRC Press eBooks · doi:10.1201/b15477-10
Self-citation
Metadata
- Authors
- Bergmann, K., Eyssel, F., & Kopp, S.
- Affiliations
- Bielefeld University (DE)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2012
- Pages
- 126-138
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W83463411
- Cited by
- 136
- References
- 0
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 6 · 2023: 20 · 2022: 14 · 2021: 15 · 2020: 16 · 2019: 17 · 2018: 7 · 2017: 12 · 2016: 6 · 2015: 5 · 2014: 1 · 2013: 3
- FWCI
- 5.77
- Type
- conference paper
- Language
- en
- Open access
- green
- pub.uni-bielefeld.de
- Licence
- other-oa
- Locations
- Lecture notes in computer science (publishedVersion)
- PUB – Publications at Bielefeld University (Bielefeld University) (submittedVersion, other-oa)
- Publikationen an der Universität Bielefeld (Universität Bielefeld) (submittedVersion, other-oa)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Keywords
- virtual agents, first impressions, second chances, perceived warmth, perceived competence, nonverbal behavior, gesture, agent appearance, social cognition, time effects
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