Publications & Research

Queiroz, A. C., Bailenson, J. N., Blair, K. P., Schwartz, D. L., Thille, C., & Wagner, A. D.

Computers & Education: X Reality, 7

This empirical study demonstrates how self-review and feedback mechanisms in virtual reality dialogues enhance language markers of personal and emotional expression in empathetic communication training experiences. The research provides evidence for the effectiveness of reflective practice in VR-based learning environments.

Bowen, K., Alami, N., Queiroz, A.C.

International Virtual Conference Exchange, Greece

This study explores how virtual exchange, virtual reality, and conversational AI can be integrated in global health education to build empathy and understanding of humanitarian response. The research demonstrates innovative approaches to cross-cultural learning and global health training.

Chen, C. C., Queiroz, A. C. M., Zhao, X., Alam, T., Wang, D.

75th International Communication Association Conference, Denver, USA

A comprehensive multilevel meta-analysis examining the impact of immersive technologies on cognitive load, memory retention, and knowledge transfer processes. This research synthesizes findings from multiple studies to provide robust evidence about learning outcomes in immersive environments.

Wang, P., Han, E., DeVeaux, C., Queiroz, A.C.M., Bailenson, J.

28th ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW), Norway

This research investigates turn-taking behavior patterns in open-ended group activities within virtual reality environments, providing insights for collaborative VR design. The study offers empirical evidence for designing more effective social VR experiences.

Everri, M., Campbell, A., Balestra, F., Roberts, A., Messena, M., Heitmayer, M., Venturelli, E., O'Brien, V., Queiroz, A.C.M.

EFTA-RELATES 2025, France

An innovative interactive-participatory session design that explores the potential of immersive virtual reality applications in family therapy contexts through collaborative inquiry methodologies. This work bridges clinical practice with emerging technology research.

Nascimento, A. M., Shimanuki, G. K. G., Vismari, L. F., Camargo Jr, J. B., Almeida Jr, J. R. de, Cugnasca, P. S., Queiroz, A. C. M., & Bailenson, J. N.

arXiv

This research presents a component-agnostic safety evaluation framework for autonomous vehicles, focusing on injecting and analyzing hallucinations to assess system robustness and safety protocols. The work contributes to understanding and improving the reliability of autonomous systems.