QRPATH: Evaluating QR Codes as an Alternative to Human Observation in Physical Space Wayfinding Studies

Abstract

This research investigates the practicality of automated data collection methods as an alternative to human observation in physical space wayfinding studies. Traditional approaches for capturing foot traffic and navigational behavior are often labor-intensive and resource-demanding. To address these challenges, we conducted a study assessing the feasibility of using QR codes to collect observational data. Thirteen participants navigated a national public library while their movements were tracked through strategically placed QR codes and concurrently by human observers. Analysis revealed that QR codes offer comparable precision in recording navigational data while potentially reducing the need for human labor. However, issues such as missed scans, environmental constraints, confusion with unrelated codes, and the absence of contextual insights suggest that while QR codes may enhance observational research in public settings, they should be integrated with traditional methods rather than serving as a complete replacement.