Publications & Research

Yeykelis, L., Cao, N., Holm, M. P. P. M., Grant, N., Eagar, C., Rudolph, B., & Queiroz, A.

Miami XR 2026, University of Miami

A framework for integrating generative AI into VR to enable continuous learner assessment and adaptive pedagogical recommendations. Validated through LexiLearn, a literacy VR application featuring synchronized visual, auditory, and haptic feedback with an AI-powered teacher dashboard.

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Holm, M. P. P. M., Pettini, K., Eagar, C. S., Cao, W., Grant, N. J., Rudolph, B., Zahal, D., & Queiroz, A. C. M.

Miami XR 2026, University of Miami

LexiLearn is an AI-enhanced, multisensory virtual reality learning environment investigating how embodied interaction and haptic augmentation support early literacy acquisition. The framework combines spatial and sensory learning through coordinated visual, auditory, and tactile cues enabled by adaptive AI and vibrotactile haptic gloves.

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Chuan, C.-H., Yao, J., Xi, X., Queiroz, A., & Tsai, S.

Miami XR 2026, University of Miami

This project designs a multiplayer mixed reality application for climate justice communication, using spatial animation for multi-user simulations with strategies regarding economic and environmental conflicts. Three participants interact with a shared virtual environment representing territories with different economic resources and climate vulnerabilities.

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Cole, M., Binatti, K. P., & Queiroz, A.

Miami XR 2026, University of Miami

This IRB-approved randomized controlled trial investigates whether adaptive AI coaching enhances cycling performance compared to static coaching and control conditions. Using a contextual bandit algorithm, the system delivers personalized affirmations based on real-time physiological data during a 20-minute time trial.

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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.