Distress detection in VR environment using Empatica E4 wristband and Bittium Faros 360.

ABSTRACT:

Introduction

Distress detection in virtual reality systems offers a wealth of opportunities to improve user experiences and enhance therapeutic practices by catering to individual physiological and emotional states.

Methods

This study evaluates the performance of two wearable devices, the Empatica E4 wristband and the Faros 360, in detecting distress in a motion-controlled interactive virtual reality environment. Subjects were exposed to a baseline measurement and two VR scenes, one non-interactive and one interactive, involving problem-solving and distractors. Heart rate measurements from both devices, including mean heart rate, root mean square of successive differences, and subject-specific thresholds, were utilized to explore distress intensity and frequency.

Results<

SUBMITTER: Medarevic J 

PROVIDER: S-EPMC11919861 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature