A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Analysis on Recognizability and Legibility of Urban Virtual Environment in Virtual Reality Through Cognitive Maps
Schematizing the most optimum level of details (LOD) in virtual environments (VEs) is a relevant endeavour as scale in virtual reality (VR) is not provisional but instead is locked at full scale. This paper compares recognizability and legibility of four 3D models of the same site in Melaka each with a different LOD. This informs whether different VEs’ LOD can lead to different cognitive readings among respondents. Free-recall technique was used to evaluate cognitive knowledge of N = 96 respondents, with N = 24 respondents in each of the four VEs. Each respondent was asked to draw a map indicating visual cues from their minds. The cognitive maps in each treatment were then analysed using content analysis. The first coding scheme derived word frequencies to imply recognizability. The second scheme derived quality and relationships between elements to imply legibility. The contents were then compared among the different groups. We suggest that LOD may have some influence on cognitive understanding to varying degrees depending on the task and stage of navigation taken place.
Analysis on Recognizability and Legibility of Urban Virtual Environment in Virtual Reality Through Cognitive Maps
Schematizing the most optimum level of details (LOD) in virtual environments (VEs) is a relevant endeavour as scale in virtual reality (VR) is not provisional but instead is locked at full scale. This paper compares recognizability and legibility of four 3D models of the same site in Melaka each with a different LOD. This informs whether different VEs’ LOD can lead to different cognitive readings among respondents. Free-recall technique was used to evaluate cognitive knowledge of N = 96 respondents, with N = 24 respondents in each of the four VEs. Each respondent was asked to draw a map indicating visual cues from their minds. The cognitive maps in each treatment were then analysed using content analysis. The first coding scheme derived word frequencies to imply recognizability. The second scheme derived quality and relationships between elements to imply legibility. The contents were then compared among the different groups. We suggest that LOD may have some influence on cognitive understanding to varying degrees depending on the task and stage of navigation taken place.
Analysis on Recognizability and Legibility of Urban Virtual Environment in Virtual Reality Through Cognitive Maps
Lecture Notes in Civil Engineering
Awang, Mokhtar (editor) / Ling, Lloyd (editor) / Emamian, Seyed Sattar (editor) / Zaini, Atta Idrawani (author) / Yazit, Raja Nur Syaheeza Raja (author) / Goh, Nurakmal Abdullah (author) / Gregory, Zayn Al-Abideen (author) / Embi, Mohamed Rashid (author)
2022-03-01
8 pages
Article/Chapter (Book)
Electronic Resource
English
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