Abstract
Success in public speaking hinges on engaging an audience, which involves a high-stakes social interaction process that remains a significant source of anxiety and stress for many. Using a virtual-reality (VR)-based experimental paradigm, we tested how speakers delivering scientific talks perceive and respond to supportive vs. unsupportive audiences. We collected behavioral (gaze, paralinguistics, motion expressiveness/openness), physiological (heart rate, electroencephalography, breathing rate, pupil dilation), and self-report measures to assess audience effects. The unsupportive audience elicited greater negative affect, arousal, and anxiety, and higher perceived cognitive and social effort. Physiologically and behaviorally, speaking to the unsupportive audience decreased the speaking rate. Acoustic analyses further indicated greater emotional arousal and vocal dominance in the unsupportive condition. These findings highlight VR combined with physiological measurement as a powerful approach for investigating audience effects and social-communication processes, with clear implications for augmenting social intelligence and communication skills.
Data availability
The anonymized dataset and data analysis scripts are available via GitHub at github.com/nomcomm/speaker_responses_audience.
References
Vangelisti, A. L., Daly, J. A. & Friedrich, G. W. Teaching Communication: Theory, Research, and Methods (Routledge, 2013).
Lucas, S. E. & Stob, P. The Art of Public Speaking (McGraw-Hill, 2020).
Rosenfeld, H. M. & Hancks, M. The nonverbal context of verbal listener responses. In The Relationship of Verbal and Nonverbal Communication (ed. Key, M. R.) 193–206 (Mouton, 1980).
Taylor, S. E. et al. Effects of a supportive or an unsupportive audience on biological and psychological responses to stress. J. Personal. Soc. Psychol. 98 (1), 47 (2010).
Kleinlogel, E. P., Renier, L., Mast, M. S. & Toma, C. I think that I made a good impression! Social Psychol. https://doi.org/10.1027/1864-9335/a000421 (2020).
Dickerson, S. S. Social-evaluative threat. In The Wiley Encyclopedia of Health Sychology (eds. Sweeny, K. & Robbins, M. L.) 0641–647 (2020).
Kroczek, L. O. & Mühlberger, A. Public speaking training in front of a supportive audience in virtual reality improves performance in real-life. Sci. Rep. 13 (1), 13968 (2023).
Girondini, M. et al. Decoupling the role of verbal and non-verbal audience behavior on public speaking anxiety in virtual reality using behavioral and psychological measures. Front. Virtual Real. 5, 1347102 (2024).
Rubin, M. et al. Avoidance of social threat: evidence from eye movements during a public speaking challenge using 360-video. Behav. Res. Ther. 134, 103706 (2020).
Blascovich, J. Challenge and threat appraisal. In Handbook of Approach and Avoidance Motivation (ed. Elliot, M.) 431–445 (Psychology, 2013).
Schmälzle, R. et al. Brain connectivity dynamics during social interaction reflect social network structure. Proc. Natl. Acad. Sci. 114 (20), 5153–5158 (2017).
Kirschbaum, C., Pirke, K. M. & Hellhammer, D. H. The ‘Trier social stress Test’—a tool for investigating Psychobiological stress responses in a laboratory setting. Neuropsychobiology. 28 (1–2), 76–81 (1993).
Bradley, M. M. & Lang, P. J. Measuring emotion: behavior, feeling, and physiology. In Cognitive Neuroscience of Emotion (eds. Lane, R. D. & Nadel, L.) 242–276 (Oxford University Press, 2000).
Sapolsky, R. M. Why Zebras Don’t Get Ulcers 3rd edn (Henry Holt, 2004).
McCroskey, J. C. An Introduction To Rhetorical Communication (Allyn & Bacon, 2001).
O’Brien, J., Fryer, S., Parker, J. & Moore, L. The effect of ego depletion on challenge and threat evaluations during a potentially stressful public speaking task. Anxiety Stress Coping. 34 (3), 266–278 (2021).
MacIntyre, P. D. & Thivierge, K. A. The effects of audience pleasantness, audience familiarity, and speaking contexts on public speaking anxiety and willingness to speak. Commun. Q. 43 (4), 456–466 (1995).
MacIntyre, P. D., Thivierge, K. A. & MacDonald, J. R. The effects of audience interest, responsiveness, and evaluation on public speaking anxiety and related variables. Commun. Res. Rep. 14 (2), 157–168 (1997).
Hsu, C. F. The relationships of trait anxiety, audience nonverbal feedback, and attributions to public speaking state anxiety. Commun. Res. Rep. 26 (3), 237–246 (2009).
Baldwin, S. F. & Clevenger, T. Jr Effect of speakers’ sex and size of audience on heart-rate changes during short impromptu speeches. Psychol. Rep. 46 (1), 123–130 (1980).
Hilmert, C. J., Christenfeld, N. & Kulik, J. A. Audience status moderates the effects of social support and self-efficacy on cardiovascular reactivity during public speaking. Ann. Behav. Med. 24 (2), 122–131 (2002).
McKinney, M. E., Gatchel, R. J. & Paulus, P. B. The effects of audience size on high and low speech-anxious subjects during an actual speaking task. Basic Appl. Soc. Psychol. 4 (1), 73–87 (1983).
Loomis, J. M., Blascovich, J. J. & Beall, A. C. Immersive virtual environment technology as a basic research tool in psychology. Behav. Res. Methods Instrum. Computers. 31 (4), 557–564 (1999).
Takac, M. et al. Public speaking anxiety decreases within repeated virtual reality training sessions. PloS One. 14 (5), e0216288 (2019).
Ye, T., Elliott, R., McFarquhar, M. & Mansell, W. The impact of audience dynamics on public speaking anxiety in virtual scenarios: an online survey. J. Affect. Disord. 363, 420–429 (2024).
Chollet, M. & Scherer, S. Perception of virtual audiences. IEEE Comput. Graph. Appl. 37 (4), 50–59 (2017).
Schmälzle, R., Lim, S., Cho, H. J., Wu, J. & Bente, G. Examining the exposure-reception-retention link in realistic communication environments via VR and eye-tracking: the VR billboard paradigm. PloS One 18(11), e0291924. (2023).
Artemi, T. F., Konstantinou, T., Naziri, S. & Panayiotou, G. Virtual Reality-assisted, single-=session exposure for public speaking anxiety: improved self-reports and heart rate but no significant change in heart rate variability. Virtual Worlds. 4 (2), 27 (2025).
Pertaub, D. P., Slater, M. & Barker, C. An experiment on public speaking anxiety in response to three different types of virtual audience. Presence 11 (1), 68–78 (2002).
Hey, B. Scientific talks—effective communication that assists with the conveyance of research results. In Mastering Scientific Presentations: Unlocking your Communication Skills 1–8 (Springer Fachmedien, 2024).
Reeves, B. & Nass, C. The Media Equation: How People Treat computers, television, and New Media Like Real People (Cambridge University Press, 1996).
Saufnay, S., Etienne, E. & Schyns, M. Improvement of public speaking skills using virtual reality: development of a training system. In 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) 122–124 (IEEE, 2024).
Lim, S., Schmälzle, R. & Bente, G. Artificial social influence via human-embodied AI agent interaction in immersive virtual reality (VR): effects of similarity-matching during health conversations. Comput. Hum. Behavior: Artif. Humans 2025, 100172 (2025).
Pan, M., Kitson, A., Wan, H. & Prpa, M. Ellma-t: an embodied LLM-agent for supporting english language learning in social VR. In Proceedings of the 2025 ACM Designing Interactive Systems Conference 576–594 (2025).
Blom, K. J. Virtual Orator [Computer Software] (Publicspeaking.tech, 2018).
Bowman, N. D., Wasserman, J. & Banks, J. Development of the video game demand scale. In Video Games 208–233 (Routledge, 2018).
Bradley, M. M. & Lang, P. J. Measuring emotion: the self-assessment manikin and the semantic differential. J. Behav. Ther. Exp. Psychiatry. 25 (1), 49–59 (1994).
Spielberger, C. D., Gonzalez-Reigosa, F., Martinez-Urrutia, A., Natalicio, L. F. & Natalicio, D. S. The state-trait anxiety inventory. Revi. Interamericana Psicol./Interamerican J. Psychol. 5, 4 (1971).
Hook, J. N., Smith, C. A. & Valentiner, D. P. A short-form of the personal report of confidence as a speaker. Pers. Indiv. Differ. 44 (6), 1306–1313 (2008).
Delorme, A. & Makeig, S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J. Neurosci. Methods. 134 (1), 9–21 (2004).
Niedermeyer, E. & da Silva, F. L. Electroencephalography: Basic Principles, Clinical Applications, and Related Fields (Lippincott Williams & Wilkins, 2005).
Poldrack, R. A. Can cognitive processes be inferred from neuroimaging data? Trends Cogn. Sci. 10 (2), 59–63 (2006).
Wagner, J. et al. Dawn of the transformer era in speech emotion recognition: closing the valence gap. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9), 10745–10759 (2023).
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The author(s) declare that financial support was received for the research and/or publication of this article. This research was supported by NSF grant 2302608.
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S.L. and R.S. wrote the main manuscript text. R.S. prepared the figures while S. L. prepared the data tables. All authors reviewed and provided feedback on the manuscript.
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Lim, S., Schmälzle, R. & Bente, G. Examining speakers’ subjective and bio-behavioral responses to audience-induced social-evaluative threat via immersive VR. Sci Rep (2026). https://doi.org/10.1038/s41598-026-38915-8
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DOI: https://doi.org/10.1038/s41598-026-38915-8