Abstract
The study of cognitive load (CL) has been an active field of research across disciplines such as psychology, education, and computer graphics and visualization for decades. In the context of Virtual Reality (VR), understanding mental demand becomes particularly relevant, as immersive experiences increasingly integrate multisensory stimuli that require users to distribute their limited cognitive resources. In this work, we investigate the effects of cognitive load during a search task in VR, combining objective and subjective measurements, including physiological signals and validated questionnaires. We designed an experiment in which participants performed a visual search task under two cognitive load conditions (either alone or while responding to a concurrent auditory task) and across two visual search areas (90° and 360°). We collected a rich dataset comprising task performance, eye tracking, electrocardiogram (ECG), electrodermal activity (EDA), photoplethysmography (PPG), and inertial measurements, along with subjective assessments (NASA-TLX questionnaires). Our analysis shows that increased cognitive load hinders visual search performance and affects multiple physiological markers, offering a solid foundation for future research on cognitive load in multisensory virtual environments.
Paper
Paper: PDF
Supplemental Material: PDF
Dataset
Our dataset contains physiological and performance data collected from 36 users. This is provided for four different conditions, resulting of the combinations of high and low cognitive load conditions and 90° and 360° search areas. For each user, we offer:
- Electrocardiogram (ECG)
- Respiration (ImP)
- Electrodermal Activity (EDA)
- Photoplethysmography (PPG)
- Gaze Data
- Pupil Size
- Performance Scores
- Inertial Measurements
- Demographics
- Shortened Simulator Sickness Questionnaire (SSQ)
- NASA TLX
Bibtex
Acknowledgments
This research was supported by grant PID2022-141539NB-I00, funded by MICIU/AEI/10.13039/501100011033 and by ERDF, EU; by the Aragon Institute for Engineering Research (I3A) through the Impulso program; and by the Gobierno de Aragon through project “Human-VR” (Proy T25 24). Additionally, J. Pina was supported by an FPI predoctoral grant (PRE2023-UZ-16) and E. Bernal-Berdun by a Gobierno de Aragon predoctoral grant (2021-2025).
