MBB-AVR: a mind-brain-body dataset with dynamic affective states in immersive virtual reality
Abstract
We present MindBrainBody-AffectiveVR (MBB-AVR), a multimodal dataset capturing continuous affective experience and both central and peripheral physiological responses during naturalistic emotional stimulation in immersive virtual reality. Forty-seven healthy adults (24 female, 22 male, 1 non-binary; age = 27.1 ± 5.4) viewed a 23-minute stereoscopic 360° video sequence, composed of computer-generated, language-free content designed to elicit high affective variability over time, presented via a head-mounted display (HTC Vive Pro Eye). While immersed, participants continuously rated their momentary valence and arousal using a previously validated rating tool with real-time visual feedback. Synchronized recordings include 64-channel EEG, ECG, respiration, photoplethysmography, galvanic skin response, and head and eye tracking with pupillometry. Participants additionally completed questionnaires including interoceptive sensibility and alexithymia. The dataset is organized following the Brain Imaging Data Structure (BIDS) and includes extracted low-level audio and video features of the stimulus. It may support research on the temporal dynamics of affect, multimodal physiological correlates of emotion, and affective computing. The dataset is available at https://gin.g-node.org/fourcade_a/mbb-avr.
Related
- Virtual Placebo: a scoping review of control conditions in randomized controlled trials of psychological immersive virtual reality interventions
- Can immersive virtual reality be an alternative world for eliciting consumer willingness to pay for food?
- Ageing, Digital Literacy, and Interaction Modality in Immersive Virtual Reality: Psychomotor Performance, Cognitive Flexibility, and Their Processing-Speed Association
- A Benchmark for Gaze-Based Target Detection in Immersive Virtual Reality: Effects of Eccentricity, Size, and Speed on Observation and Detection Dynamics
- Feasibility, acceptability, and preliminary efficacy of AdaptRehab VR, an immersive virtual reality system for upper limb stroke rehabilitation: A mixed-methods study in Ethiopia
BibTeX
@misc{fourcade2026mbbavr,
title = {{MBB-AVR: a mind-brain-body dataset with dynamic affective states in immersive virtual reality}},
author = {Antonin Fourcade and Anthony Ciston and Lucy Roellecke and Jeroen de Mooij and Hector Leos and Arno Villringer and Sara Carletto and Francesca Malandrone and Michael Gaebler},
howpublished = {PsyArXiv},
year = {2026},
month = oct,
doi = {10.31234/osf.io/vg2qc_v1},
url = {https://osf.io/preprints/psyarxiv/vg2qc_v1/},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - MBB-AVR: a mind-brain-body dataset with dynamic affective states in immersive virtual reality
AU - Antonin Fourcade
AU - Anthony Ciston
AU - Lucy Roellecke
AU - Jeroen de Mooij
AU - Hector Leos
AU - Arno Villringer
AU - Sara Carletto
AU - Francesca Malandrone
AU - Michael Gaebler
PY - 2026
DA - 2026/10/09
PB - PsyArXiv
DO - 10.31234/osf.io/vg2qc_v1
UR - https://osf.io/preprints/psyarxiv/vg2qc_v1/
AB - We present MindBrainBody-AffectiveVR (MBB-AVR), a multimodal dataset capturing continuous affective experience and both central and peripheral physiological responses during naturalistic emotional stimulation in immersive virtual reality. Forty-seven healthy adults (24 female, 22 male, 1 non-binary; age = 27.1 ± 5.4) viewed a 23-minute stereoscopic 360° video sequence, composed of computer-generated, language-free content designed to elicit high affective variability over time, presented via a head-mounted display (HTC Vive Pro Eye). While immersed, participants continuously rated their momentary valence and arousal using a previously validated rating tool with real-time visual feedback. Synchronized recordings include 64-channel EEG, ECG, respiration, photoplethysmography, galvanic skin response, and head and eye tracking with pupillometry. Participants additionally completed questionnaires including interoceptive sensibility and alexithymia. The dataset is organized following the Brain Imaging Data Structure (BIDS) and includes extracted low-level audio and video features of the stimulus. It may support research on the temporal dynamics of affect, multimodal physiological correlates of emotion, and affective computing. The dataset is available at https://gin.g-node.org/fourcade_a/mbb-avr.
ER -