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Virtual Reality and Sensing Techniques for Human: 2nd Edition

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Dear Colleagues,

Virtual reality (VR) has evolved as a transformative platform for developing immersive and interactive experiences, enabling new ways for people to interact with digital content, environments, and one another. Expertise in computer graphics, human–computer interaction, cognitive psychology, sensor technology, and other fields is combined in this multidisciplinary field.

Following the success of our previous Special Issue, “Virtual Reality and Sensing Techniques for Human: 2nd Edition”, we would like to invite our colleagues once again to contribute their expertise, insights, and findings in the form of original research articles and reviews for this new Special Issue.

With the goal of improving the quality, realism, and efficacy of human interaction in virtual environments, this Special Issue is looking for ground-breaking research, cutting-edge methodologies, and real-world applications that explore the relationship between VR and sensing techniques. Topics of interest include, but are not limited to, the following:

VR-based interaction design;
Multisensory experiences;
Sensor fusion for VR;
Embodiment and presence;
Social interaction in VR;
Ethical and privacy considerations;
Health and well-being applications.

To view the first edition, please visit:

https://www.mdpi.com/journal/sensors/special_issues/A03YMB9GX6

Dr. Răzvan Gabriel Boboc
Guest Editor

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27 pages, 4292 KB

Open AccessArticle

VIRTUES: A Virtual Reality Multimodal Sensing Platform for Quantifying and Supporting Cross-Neurotype Collaboration

by Ashwaq Zaini Amat, Mahrukh Tauseef, Deeksha Adiani, Amy S. Weitlauf and Nilanjan Sarkar

Sensors 2026, 26(9), 2906; https://doi.org/10.3390/s26092906 - 6 May 2026

Viewed by 784

Abstract

Effective workplace collaboration is essential for productivity and creativity, yet achieving the necessary mutual understanding can be challenging, particularly involving individuals from different neurotypes. This work evaluates VIRTUES, a Virtual Reality (VR) platform designed to foster mutual understanding and collaborative behaviors between autistic and neurotypical individuals. VIRTUES integrates multimodal sensing (eye tracking, interaction logs, and transcribed speech) to objectively quantify five defined dimensions of collaboration while providing real-time, context-aware support through an embedded rule-based feedback mechanism. A user study involving 12 autistic–neurotypical pairs demonstrates that VIRTUES can assess and support collaborative efforts across different neurotypes. Through synchronized sensing data, we identified that Information Pooling serves as a critical driving factor for successful collaborative performance. These preliminary findings suggest that VIRTUES provides a foundation for exploring inclusive teamwork and may inform the design of future interventions to support neurodiverse social-technical skill acquisition. Full article

(This article belongs to the Special Issue Virtual Reality and Sensing Techniques for Human: 2nd Edition)

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16 pages, 1546 KB

Open AccessArticle

Sensor-Based and VR-Assisted Visual Training Enhances Visuomotor Reaction Metrics in Youth Handball Players

by Ricardo Bernárdez-Vilaboa, Juan E. Cedrún-Sánchez, Silvia Burgos-Postigo, Rut González-Jiménez, Carla Otero-Currás and F. Javier Povedano-Montero

Sensors 2026, 26(8), 2555; https://doi.org/10.3390/s26082555 - 21 Apr 2026

Viewed by 542

Abstract

Background: Sensor-based systems and virtual reality (VR) technologies provide new opportunities for the objective, technology-driven assessment and training of visuomotor performance in applied contexts such as sport. Methods: This study examined the effects of an integrated visual training program combining stroboscopic stimulation, VR-based vergence exercises, and instrumented reaction-light tasks in adolescent handball players. Twenty-eight adolescent handball players (under-18 competitive level) completed two baseline assessments separated by six weeks, followed by a six-session training program (approximately 15 min per session) integrated into regular team practice. The intervention targeted visuomotor reaction speed, accommodative dynamics, and peripheral visual responsiveness using sensor-based and virtual reality–assisted stimuli. Results: Compared with both baseline measurements, the intervention produced selective improvements in accommodative facility (cycles per minute, cpm)—particularly near–far focusing speed—and in multiple reaction-time conditions (milliseconds, ms) involving manual and decision-based responses. Specific peripheral-field locations showed increased response scores, whereas binocular alignment, AC/A ratio, near phoria, and stereoscopic acuity remained unchanged. Conclusions: These findings indicate that technology-supported visual training protocols incorporating sensor-based reaction systems and VR stimuli were associated with measurable adaptations in dynamic visuomotor processing while preserving fundamental binocular vision parameters. Full article

(This article belongs to the Special Issue Virtual Reality and Sensing Techniques for Human: 2nd Edition)

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