Spatial representation and learning in real and virtual environments

Few things are as fundamental to the human experience as spatial navigation in the real and virtual environments. People navigate in environments by extracting ambience information, forming a mental representation, and in turn employing that mental representation for route planning and maneuvering....

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Main Author: Luo, Zhiqiang
Other Authors: Jiao Jianxin, Roger
Format: Theses and Dissertations
Language:English
Published: 2008
Subjects:
Online Access:https://hdl.handle.net/10356/13389
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-133892023-03-11T17:45:09Z Spatial representation and learning in real and virtual environments Luo, Zhiqiang Jiao Jianxin, Roger School of Mechanical and Aerospace Engineering Duh Been-Lim, Henry DRNTU::Engineering::Industrial engineering::Human factors engineering Few things are as fundamental to the human experience as spatial navigation in the real and virtual environments. People navigate in environments by extracting ambience information, forming a mental representation, and in turn employing that mental representation for route planning and maneuvering. Crucial for spatial navigation, mental representation of the environment, namely spatial representation, is the internalized reflection and reconstruction of environment in thought. Meanwhile, the acquisition of accurate and complete mental representations, referred to as spatial learning, is much affected by human’s egocentric experience within the environment together with various environment characteristics. This research aims to understand the cognitive processes of building appropriate mental representations of the environment. In particular, this research investigates the spatial representations acquired in a 3D room environment as well as in a multilevel building. Human egocentric experience is operationalized based on varying exocentric views according to either watching from different exocentric perspectives or learning from 3D maps. Also reckoned are environmental characteristics including the environmental geometry and complexity. Four studies are conducted systematically to justify hypotheses of spatial representation and learning with respect to different egocentric experiences and environment characteristics. The results reveal that (1) Spatial information on the horizontal and vertical dimensions of the environment is encoded and represented in terms of different frames of reference regarding spatial navigation; (2) The exocentric views associated with an exocentric perspective or a 3D map facilitate the acquisition of survey knowledge, instead of route knowledge, of the environment; and (3) Spatial representation inherently preserves specific biases, regardless of egocentric experiences and environment characteristics. DOCTOR OF PHILOSOPHY (MAE) 2008-10-20T08:15:00Z 2008-10-20T08:15:00Z 2008 2008 Thesis Luo, Z. (2008). Spatial representation and learning in real and virtual environments. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/13389 10.32657/10356/13389 en 169 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Industrial engineering::Human factors engineering
spellingShingle DRNTU::Engineering::Industrial engineering::Human factors engineering
Luo, Zhiqiang
Spatial representation and learning in real and virtual environments
description Few things are as fundamental to the human experience as spatial navigation in the real and virtual environments. People navigate in environments by extracting ambience information, forming a mental representation, and in turn employing that mental representation for route planning and maneuvering. Crucial for spatial navigation, mental representation of the environment, namely spatial representation, is the internalized reflection and reconstruction of environment in thought. Meanwhile, the acquisition of accurate and complete mental representations, referred to as spatial learning, is much affected by human’s egocentric experience within the environment together with various environment characteristics. This research aims to understand the cognitive processes of building appropriate mental representations of the environment. In particular, this research investigates the spatial representations acquired in a 3D room environment as well as in a multilevel building. Human egocentric experience is operationalized based on varying exocentric views according to either watching from different exocentric perspectives or learning from 3D maps. Also reckoned are environmental characteristics including the environmental geometry and complexity. Four studies are conducted systematically to justify hypotheses of spatial representation and learning with respect to different egocentric experiences and environment characteristics. The results reveal that (1) Spatial information on the horizontal and vertical dimensions of the environment is encoded and represented in terms of different frames of reference regarding spatial navigation; (2) The exocentric views associated with an exocentric perspective or a 3D map facilitate the acquisition of survey knowledge, instead of route knowledge, of the environment; and (3) Spatial representation inherently preserves specific biases, regardless of egocentric experiences and environment characteristics.
author2 Jiao Jianxin, Roger
author_facet Jiao Jianxin, Roger
Luo, Zhiqiang
format Theses and Dissertations
author Luo, Zhiqiang
author_sort Luo, Zhiqiang
title Spatial representation and learning in real and virtual environments
title_short Spatial representation and learning in real and virtual environments
title_full Spatial representation and learning in real and virtual environments
title_fullStr Spatial representation and learning in real and virtual environments
title_full_unstemmed Spatial representation and learning in real and virtual environments
title_sort spatial representation and learning in real and virtual environments
publishDate 2008
url https://hdl.handle.net/10356/13389
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