CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id ecaade2020_209
authors Han, Yoojin and Lee, Hyunsoo
year 2020
title Investigating the Effectiveness of AR-enhanced Signage in Multi-purpose Commercial Complexes - Focusing on response time to directional signage
doi https://doi.org/10.52842/conf.ecaade.2020.1.145
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 145-152
summary The aim of this study was to investigate next level digital signage utilizing augmented reality for multi-purpose commercial complexes. Recently, despite the rapid growth of the urban solution, mixed-use commercial complexes have experienced significant problems in terms of wayfinding. As a potential solution to the problem, this study sought to determine the effectiveness of state-of-the-art augmented reality (AR) on wayfinding. Focusing on the response time to directional signage, this study compared wayfinding through traditional signage with AR-enhanced signage. The response time in milliseconds was measured using a program developed with Python. In all, 30 sign images were presented to 48 participants in random order. A third of them included existing signs as the control condition, and the others were AR signs with half graphic and half text. The results of this study demonstrated that AR-enhanced signage had tremendous potential to improve wayfinding performance in multi-purpose commercial complexes. Results revealed that response time to directional signage was reduced in AR environments. In particular, the AR signage system combining text and graphics was useful in terms of both response time and cognitive appraisal.
keywords Augmented Reality (AR); Signage; Wayfinding; Multi-purpose Commercial Complexes
series eCAADe
email
full text file.pdf (6,612,367 bytes)
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