Cade McCall

TL;DR: The authors examined whether participant attitudes would change toward positions advocated by an ingroup member even if the latter was known to be an embodied agent, i.e., a human-like representation of a computer algorithm.

TL;DR: A more comprehensive look at the distinct networks identified by social neuroscience and the importance of a motivational state, in addition to approach and avoidance, associated with quiescence and homeostatic regulation is advocated.

TL;DR: A theoretical analysis of different mechanisms of empathic practices is proposed in order to define a possible framework for the design of empathy training in VR and identifies different variables used by pioneer studies in VR to promote empathy-related responses.

TL;DR: The authors examined people's reactions as they navigated through a virtual world and interacted with virtual people, some of whom needed help, and found that participants' compassion and tendency to experience personal distress predicted emotional reactions (concern) and proxemic behavior (gaze orientation and degree of interpersonal distance) to a virtual person.

TL;DR: The authors investigated the relationship between participant proxemic behavior and overt aggression during interactions with Black and White agents in an immersive virtual environment and found that participants' proxemic behaviors (interpersonal distance and head movements) during the first task predicted aggressive and hostile participant shots against Black but not white agents in the subsequent task.