Emo-regulator: An emotion-regulation training system fusing virtual reality and EEG-based neurofeedback
Minchang Yu, Yicai Bai, Yingjie Li
Abstract
Good emotion-regulation ability (ERA) is a vital sign of psychological health; conversely, emotion dysregulation may lead to mental or neurological disorders, such as anxiety disorders and depression. This study developed an emotion-regulation training system, Emo-regulator, fusing virtual reality (VR) and EEG-based neurofeedback to enhance subjects' ability to down-regulate negative emotions. Emo-regulator first elicited negative emotions in subjects through VR scenarios and then asked them to regulate emotions using cognitive reappraisal to change the emotional responses elicited by the VRs. Meanwhile, EEG signals from the subjects were collected and analyzed in real time by machine learning to predict the emotional states of the subjects (negative or positive). Emo-regulator changed the VR scenarios according to the prediction results and completed the feedback. Eight subjects used Emo-regulator for two weeks, and the results showed it could help the subjects improve their emotion regulation, and its usability is above average.Clinical Relevance-Emo-regulator can help subjects improve their ability to down-regulate negative emotions and increase the frequency of cognitive reappraisal use during emotion regulation.