Immersive technologies are increasingly applied in therapeutic and well-being practices, yet most AR systems focus on dyadic client–avatar interactions and overlook richer therapeutic structures that involve therapists. We introduce AReframedChair, an AR system that reimagines the traditional Empty Chair technique by enabling self-dialogue with a personalized avatar representing one's past or future self. In a between-subjects study with 60 adults, we compared the traditional Empty Chair method with two AR-reframed modes: Dyadic (client–avatar) and Triadic (client–avatar– therapist). Participants' survey responses showed that the Dyadic mode elicited greater positive affect and self-compassion in the past-self scenarios, whereas the Triadic mode produced stronger gains in motivation and reflections in future-self scenarios. Thematic analysis further revealed distinct roles: the Avatar facilitated emotional entry, reassurance, and cognitive reframing, while the Therapists intervened at critical moments to down-regulate intensity, redirect attention, and enhance reflection. These findings open up new design pathways for mental health technologies.
ACM CHI Conference on Human Factors in Computing Systems