PSYCH OpenIR  > 中国科学院心理研究所回溯数据库(1956-2010)
真实和虚拟现实环境下场景识别中的空间更新
Alternative TitleSpatial Updating in Scene Recognition Task in Real Environment and Virtual Reality Environment
刘书青
Subtype硕士
Thesis Advisor牟炜民
2008-05-30
Degree Grantor中国科学院心理研究所
Place of Conferral心理研究所
Keyword真实环境 沉浸式虚拟现实技术 沉浸式虚拟现实环境 运动 场景识别 视点依赖 空间更新
AbstractCurrently,one of the important research areas in Spatial updating is the role of external (for instance visual) and internal (for instance proprioceptive or vestibular) information in spatial updating of scene recognition. Our study uses the paradigm of classic spatial updating research and the experimental design of investigation of Burgess(2004),first, we will explore the concrete influence of locomotion on scene recognition in real world; next, we will use virtual reality technology, which can control many spatial learning parameters and exclude the influence of extra irrelevant variables, to explore the influence of pure locomotion without visual cue on scene recognition, and furthermore, we will explore whether the ability of spatial updating can be transferred to new situations in a short period of time and compare the result pattern in real word with that in virtual reality to test the validity of virtual reality technology in spatial updating of scene recognition research. The main results of this paper can be summarized as follows: 1. In real world, we found two effects: the spatial updating effect and the viewpoint dependent effect, this result indicated that the spatial updating effect based on locomotion does not eliminate the viewpoint dependent effect during the scene recognition process in physical environment. 2. In virtual reality environment, we still found two effects: the spatial updating effect and the viewpoint dependent effect, this result showed us that the spatial updating effect based on locomotion does not eliminate the viewpoint dependent effect during the scene recognition process in virtual reality environment either. 3. The spatial updating effect based on locomotion plays double role in scene recognition: When subjects were tested in different viewpoint, spatial updating based on locomotion promoted scene recognition; while subjected were tested in same viewpoint, spatial updating based on locomotion had a negative influence on scene recognition, these results show us that spatial updating based on locomotion is automated and can not be ignored. 4. The ability of spatial updating can be transferred to new situations in a short period of time , and the experiment in the immersed virtual reality environment got the same result pattern with that in the physical environment, suggesting VR technology is a very effective method to do research on spatial updating of the scene recognition studies. 5. This study about scene recognition provides evidence to double system model of spatial updating in the immersed virtual reality environment.; 目前空间更新研究的热点之一是运动时获得的各种线索(视觉变化信息、本体信息)在空间更新中的作用。本研究采用Simons 和 Wang(1998)的空间更新实验范式,以及参考 Burgess等人(2004)的实验设计方法,探讨真实和虚拟环境中的基于身体运动的空间更新。首先研究在真实环境中走动在空间更新中的具体作用,其次,在沉浸式虚拟现实环境中考察纯粹的无视觉运动过程在空间更新中的具体作用;并且,通过跟自然环境中的作业成绩相比较, 进一步考察空间更新能否在短时间内迁移到新的情境中以及沉浸式虚拟现实技术本身在场景识别的空间更新研究中的效度;另外,本研究探讨在虚拟环境下能否从场景识别角度为空间更新的双系统模型提供一定的支持性证据。 本文的主要结论是: 1.在真实实验环境中,我们发现了两个效应:空间更新效应和视点依赖效应, 这说明在真实场景中基于身体运动的空间更新没有消除场景识别过程中的视点依赖效应。 2. 在虚拟现实环境下, 我们仍然发现了两个效应:空间更新效应和视点依赖效应,这说明在虚拟现实环境下,基于身体运动的空间更新也没有消除场景识别过程中的视点依赖效应。 3.本研究发现了身体运动在空间更新具有双重作用:在不同视点时,身体运动 对空间更新具有促进作用;而在相同视点时,身体运动对空间更新具有干扰作用,这说明在场景识别中基于走动的空间更新是自动化的,不能被忽略的。 4. 本研究应用典型的空间更新实验范式,发现人类的空间更新能力可以在短时间内迁移到新的情境中;另外,在沉浸式虚拟现实环境中得出与真实环境中相一致的结果,这说明了沉浸式虚拟现实技术可以作为一种十分有效的方法应用于场景识别的空间更新研究; 5.沉浸式虚拟环境下的场景识别研究从场景识别角度为空间更新的双系统模型提供了一定的支持性证据。
Pages40
Language中文
Document Type学位论文
Identifierhttp://ir.psych.ac.cn/handle/311026/4660
Collection中国科学院心理研究所回溯数据库(1956-2010)
Recommended Citation
GB/T 7714
刘书青. 真实和虚拟现实环境下场景识别中的空间更新[D]. 心理研究所. 中国科学院心理研究所,2008.
Files in This Item:
File Name/Size DocType Version Access License
10001_20052801250300(2848KB) 限制开放--View Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[刘书青]'s Articles
Baidu academic
Similar articles in Baidu academic
[刘书青]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[刘书青]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 10001_200528012503004刘书青_paper.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.