AUTHOR=Shen Yang , Zheng Huijia , Li Yu , Tian Xuetao TITLE=Understanding emotional influences on sustained attention: a study using virtual reality and neurophysiological monitoring JOURNAL=Frontiers in Human Neuroscience VOLUME=18 YEAR=2024 URL=https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2024.1467403 DOI=10.3389/fnhum.2024.1467403 ISSN=1662-5161 ABSTRACT=Introduction

Emotion and attention regulation significantly influence various aspects of human functioning and behavior. However, the interaction between emotion and attention in affecting performance remains underexplored. This study aims to investigate how individual differences in sustained attention, influenced by varying emotional states.

Methods

A total of 12 participants underwent emotion induction through Virtual Reality (VR) videos; completed an AX-CPT (continuous performance test) task to measure sustained attention, for which task performance is evaluated from two aspects, task accuracy and task reaction times; and reported their flow states. EEG and PPG data were collected throughout the sessions, as supporting evidence for sustained attention.

Results

Our findings suggest that emotional valence and arousal significantly influence task reaction times and sustained attention, when gender differences are accounted for, but do not significantly impact task accuracy. Specifically, males responded faster under high-arousal negative emotions, while females responded faster under high-arousal positive emotions. Additionally, we find that flow experience is not significantly impacted by emotions states or sustained attention.

Discussion

The study underscores the nuanced interplay between emotion, sustained attention, and task performance, suggesting that emotional states can differentially impact cognitive processes. Also, it support the use of VR, EEG, and PPG technologies in future research on related topics. Future research could expand upon this study by including larger sample sizes and a wider range of emotional inductions to generalize the findings.