001     1039193
005     20251215202209.0
037 _ _ |a FZJ-2025-01740
041 _ _ |a English
100 1 _ |a Sieben, Anna
|0 P:(DE-Juel1)178979
|b 0
|u fzj
111 2 _ |a Virtual Humans and Crowds in Immersive Environments
|g VHCIE
|c Saint-Malo
|d 2025-03-09 - 2025-03-09
|w France
245 _ _ |a Using VR Studies for Pedestrian Dynamics Research
260 _ _ |c 2025
300 _ _ |a 1-2
336 7 _ |a CONFERENCE_PAPER
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336 7 _ |a Conference Paper
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336 7 _ |a conferenceObject
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336 7 _ |a Output Types/Conference Paper
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336 7 _ |a Contribution to a conference proceedings
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520 _ _ |a For pedestrian dynamics research VR studies allow the analysis of performed experiments from an egocentric view, e.g. to experience visual restrictions or proximity to others in the crowd. VR studies using models of pedestrian dynamics also enables the realisation of reproducible experiments. First research questions using the new framework could be (1) how cognitive maps are built up, when dynamic elements like people are present, and (2) how social norms are negotiated in movement. This report describes the idea and the steps that need to be taken to achieve this goal.
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
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700 1 _ |a Boltes, Maik
|0 P:(DE-Juel1)132064
|b 1
|e Corresponding author
|u fzj
700 1 _ |a Üsten, Ezel
|0 P:(DE-Juel1)185878
|b 2
|u fzj
909 C O |o oai:juser.fz-juelich.de:1039193
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913 1 _ |a DE-HGF
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|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
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|0 G:(DE-HGF)POF4-511
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|v Enabling Computational- & Data-Intensive Science and Engineering
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914 1 _ |y 2025
920 _ _ |l no
920 1 _ |0 I:(DE-Juel1)IAS-7-20180321
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980 _ _ |a contrib
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980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21