抄録
Detecting and intervening early in situations of harassment is crucial. Recent research has suggested techniques for detecting harassment using sensor data. Recognition of the victim’s subjective stress in the face of various aggressor behaviors is essential for detecting harassment. This paper presents a method for detecting harassment based on heart rate variability (HRV) and the victim’s subjective stress when the aggressor’s behavior changes. The article focuses on harassment by verbal insults and proposes a comparative analysis of HRV in response to two types of behavior. HRV data were collected from participants watching videos simulating harassment and relaxation situations. Two types of Harassment videos were used, in VR and 2D versions, each showing different verbal insult behaviors. Comparative analysis revealed that the subset of features effective for binary Harassment/Relaxation classification was the same for both types of harassment. The datasets derived from each type of stalking emotion were analyzed with respect to the accuracy of the affective state classification. The results show that an increase in the subjects’ subjective stress and immersion levels significantly influenced these measures for both sets.
https://ror.org/04nt8b154 
