Enhancing Collaboration in Extended Reality: Towards Self-Adaptive Systems for Multi-User Spatial Computing with Multisensory and Psychophysiological Feedback

ANID – Proyectos de Exploración · Research

Funding
ANID – Proyectos de Exploración
Project
N°13250116
Duration
August 2025 – August 2029
Budget
~$315K USD
Role
Co-Director

Team

Description

This project proposes the development of multi-user self-adaptive Extended Reality (XR) systems that integrate real-time psychophysiological indicators—including heart rate variability (HRV), electrodermal activity (EDA), eye-tracking, and 3D body posture—alongside multisensory feedback to improve collaboration, communication, and decision-making in teams of three or more people. The central hypothesis is that continuous monitoring of objective physiological signals can inform dynamic, runtime adaptations of the shared XR environment, enabling systems that respond intelligently to the cognitive and emotional states of each participant.

The technical approach combines spatial computing, biosignal processing, and adaptive interface design. The system architecture supports real-time fusion of heterogeneous sensor streams and maps physiological state changes to corresponding adjustments in visual, auditory, and haptic feedback channels. This multisensory adaptation loop is designed to reduce cognitive overload, align team attention, and foster more effective group dynamics during complex collaborative tasks carried out in shared XR spaces.

The project targets application domains where team collaboration is critical and high-stakes: education, healthcare, and physical rehabilitation. In each domain, the system will be evaluated with multi-person teams engaging in domain-relevant tasks, assessing both the technical feasibility of real-time psychophysiological adaptation and its measurable impact on collaborative outcomes. The work brings together expertise in neuroscience, human-computer interaction, and software engineering to advance the state of the art in adaptive collaborative XR.

Keywords