Tracking eye-gaze in smart home systems (SHS): first insights from eye-tracking and self-report measures

Abstract Human–computer interaction (HCI) is particularly interesting because full-immersive technology may be approached differently by users, depending on the complexity of interaction, users’ personality traits, and their motivational systems inclination. Therefore, this study investigated relationship between psychological factors attention towards specific tech-interactions in a smart home system (SHS). The relation personal traits eye-tracking metrics through self-report measures [locus control (LoC), user experience (UX), behavioral inhibition (BIS) activation (BAS)] wearable wireless near-infrared illumination based applied to an Italian sample (n = 19). Participants were asked activate interact with five different tech-interaction areas levels (entrance, kitchen, living room, bathroom, bedroom) (SHS), while eye-gaze behavior was recorded. Data showed significant differences simpler (entrance) more complex one (living room), terms number fixation. Moreover, slower time first fixation multifaceted (bathroom), compared ones (kitchen room) found. Additionally, two conditions room bathroom), negative correlations found external LoC count, BAS reward responsiveness scores duration. Findings led identification two-way process, where both subjects’ are important impacting user’s visual exploration behavior. This research contributes understand adding insights that help create human-centered technology.