Title:	Adapting Virtual Reality Training Applications by Dynamically Adjusting Visual Aspects
Authors:	Genz, Fabio Kranzlmüller, Dieter
Citation:	WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 217-226.
Issue Date:	2024
Publisher:	Václav Skala - UNION Agency
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/57393
ISSN:	2464–4625 (online) 2464–4617 (print)
Keywords:	trénink virtuální reality;adaptivní trénink;vizuální vedení;interakce člověk-počítač
Keywords in different language:	virtual reality training;adaptive training;visual guidance;human-computer-interaction
Abstract in different language:	The present work addresses the question how to design a Virtual Reality (VR) training application for a class of search and navigation tasks that dynamically adapts to users by adjusting visual aspects for visual guidance. We present a theoretical concept that dynamically adjusts visual aspects (lighting, colour) in virtual environments (VE) based on a combination of measuring user behaviour (head position, head orientation) and training performance (training time, error rate). The concept is build on derived requirements for a VR application that trains search and navigation tasks and a combination of previous approaches to meet them. A proof-of-concept (PoC) application was implemented, training order picking of parcels in a warehouse. Though the presented concept is sound as it is based on previous research, future work should conduct user studies to validate the concept with quantitative data.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	WSCG 2024: Full Papers Proceedings

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