An Evaluation of Targeting Methods in Spatial Computing Interfaces with Visual Distractions

In modern spatial computing devices, users are confronted with diverse methods for object selection, including eye gaze (cf. Apple Vision Pro), hand gestures (cf. Microsoft HoloLens 2), touch gestures (cf. Google Glass Enterprise Edition 2), and external controllers (cf. Magic Leap 2). Although there are a plethora of empirical studies on which selection techniques perform best, a common limiting factor stems from the partly artificial setups. These typically exclude practical influences such as visual distraction.