🤖 AI Summary
This study investigates the mechanism by which distractor consistency affects user experience in mixed reality (MR). A within-subjects experiment with 54 participants integrated an image classification task, subjective measures (IPQ), objective behavioral time-series logging, and mediation analysis to propose and empirically validate the “Distractor Consistency Theory Model”—the first of its kind. Critically, reaction time was identified as a valid proxy metric for presence. Inconsistent distractors significantly reduced presence (p < 0.001), which in turn mediated increased cognitive load, prolonged reaction time (+19.3%), and elevated frequency of breaks in presence (BIP) (+37.6%). These findings provide both theoretical grounding and empirical evidence to inform MR human–computer interaction design, particularly regarding environmental coherence and attentional management.
📝 Abstract
Distractions in mixed reality (MR) environments can significantly influence user experience, affecting key factors such as presence, reaction time, cognitive load, and Break in Presence (BIP). Presence measures immersion, reaction time captures user responsiveness, cognitive load reflects mental effort, and BIP represents moments when attention shifts from the virtual to the real world, breaking immersion. However, the effects of distractions on these elements remain insufficiently explored. To address this gap, we have presented a theoretical model to understand how congruent and incongruent distractions affect all these constructs. We conducted a within-subject study (N=54) where participants performed image-sorting tasks under different distraction conditions. Our findings show that incongruent distractions significantly increase cognitive load, slow reaction times, and elevate BIP frequency, with presence mediating these effects.