The movement patterns and the experiential components of virtual environments
| Autor: | Mikko Laakso, Jari Takatalo, Heikki Särkelä, Patrick J. C. May, Göte Nyman |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Computer science
05 social sciences General Engineering 020207 software engineering Human Factors and Ergonomics 02 engineering and technology Virtual reality computer.software_genre Experiential learning Education Human-Computer Interaction Hardware and Architecture Virtual machine Human–computer interaction 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences User interface computer 050107 human factors Software Computer animation |
| Zdroj: | International Journal of Human-Computer Studies. 67:787-799 |
| ISSN: | 1071-5819 |
| DOI: | 10.1016/j.ijhcs.2009.05.003 |
| Popis: | Human movement in virtual environments (VEs) is a largely unstudied area, and there are no well-established methods of measuring it in VEs. Consequently, it is unclear how movement affects the experiential side of VEs. We introduce a novel method of measuring and modelling human movement. A specific information entropy-based modelling method enabled us to identify different movement patterns and analyse the experiential components related to them. The data was collected by registering the movement patterns of 68 participants who were in a virtual house doing a search task. The experiential side of the VE was measured with the Experimental Virtual Environment Questionnaire (EVEQ). Four movement patterns were identified. In addition, fluent movement in VEs was related to a high sense of presence. Moreover, the participants who moved fluently in the environment assessed their skills high. The results show how movement is related the way in which people experience the VE. The movement analysis method introduced here is applicable to other related research areas as well. |
| Databáze: | OpenAIRE |
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