Evaluating Preattentive Features for Detecting Changes in Virtual Environments

TL;DR

This study investigates how preattentive visual features affect change detection in immersive VR environments, highlighting the importance of object isolation and visual complexity in perceptual performance.

Contribution

It provides empirical evidence on how preattentive features influence change detection, emphasizing the role of spatial isolation and visual grouping in VR environments.

Findings

Preattentive processing improves change detection in VR.

Isolated objects are detected more reliably than grouped ones.

Visual similarity reduces change detection accuracy.

Abstract

Visual perception plays a critical role in detecting changes within immersive Virtual Reality (VR) environments. However, as visual complexity increases, perceptual performance declines, making it more difficult to detect changes quickly and accurately. This study examines how visual features, known for facilitating preattentive processing, impact a change detection task in immersive 3D environments, with a focus on visual complexity, object attributes, and spatial proximity. Our results demonstrate that preattentive processing enhances change detection, particularly when the altered object is spatially isolated and not perceptually grouped with similar surrounding objects. Changes to isolated objects were detected more reliably, suggesting that perceptual isolation reduces cognitive load and draws more attention. Conversely, when a changed object was surrounded by visually similar elements, participants were less likely to detect the change, indicating that perceptual grouping hinders individual object recognition in complex scenes. These results provide guidelines for designing VR applications that strategically utilize spatial isolation and visual features to improve the user experience.