The Effects of Advertisement Placement Configurations on Visual Attention and Recall According to Dynamic Road Traffic Conditions Using Virtual Reality and Eye Tracking

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Authors: Haram Choi, Sanghun Nam
Cited by: 0
References: 30

Abstract

Virtual reality (VR) provides immersive environments that resemble real-world consumption settings, enabling realistic analysis of consumer responses to advertisements. Therefore, VR has been increasingly adopted in marketing. Visual attention is a key indicator of advertising effectiveness, and neuromarketing approaches using eye-tracking are widely used to overcome the limitations of self-report measures by providing objective insights into attentional processes. However, most previous studies have focused on static retail environments, leaving a research gap in understanding advertising effectiveness in dynamic road traffic contexts. Guided by selective attention theory, this study addresses this gap by integrating VR and eye-tracking to examine how advertisement placement under different traffic conditions influences visual attention and recall. A real-time eye-tracking measurement system was developed, and fixation duration, fixation count, and recall were used as evaluation metrics. The results showed significant differences across advertisement placement types. Advertisements positioned in front of buildings during stops elicited the highest levels of visual attention and recall, indicating that attention is greater when users are stationary than when riding. These findings indicate that cognitive resources shift from traffic-related tasks to advertisements as cognitive load decreases, highlighting the effectiveness of integrating VR and eye-tracking to objectively evaluate advertising outcomes in dynamic environments.

Fields of Study & Subjects

Virtual Reality Applications and Impacts Gaze Tracking and Assistive Technology Spatial Cognition and Navigation

Publication details

Journal / source
Applied Sciences
Volume
16
Issue
2
Pages
698–698
Publication date
9 January 2026
Language
EN