Literature DB >> 17073370

VU-flow: a visualization tool for analyzing navigation in virtual environments.

Luca Chittaro1, Roberto Ranon, Lucio Ieronutti.   

Abstract

This paper presents a tool for the visual analysis of navigation patterns of moving entities, such as users, virtual characters, or vehicles in 3D Virtual Environments (VEs). The tool, called VU-Flow, provides a set of interactive visualizations that highlight interesting navigation behaviors of single or groups of moving entities that were the VE together or separately. The visualizations help to improve the design of VEs and to study the navigation behavior of users, e.g., during controlled experiments. Besides VEs, the proposed techniques could also be applied to visualize real-world data recorded by positioning systems, allowing one to employ VU-Flow in domains such as urban planning, transportation, and emergency response.

Mesh:

Year:  2006        PMID: 17073370     DOI: 10.1109/TVCG.2006.109

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  2 in total

1.  RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses.

Authors:  M Chen; A Abdul-Rahman; D Archambault; J Dykes; P D Ritsos; A Slingsby; T Torsney-Weir; C Turkay; B Bach; R Borgo; A Brett; H Fang; R Jianu; S Khan; R S Laramee; L Matthews; P H Nguyen; R Reeve; J C Roberts; F P Vidal; Q Wang; J Wood; K Xu
Journal:  Epidemics       Date:  2022-04-28       Impact factor: 5.324

2.  Efficiently detecting outlying behavior in video-game players.

Authors:  Young Bin Kim; Shin Jin Kang; Sang Hyeok Lee; Jang Young Jung; Hyeong Ryeol Kam; Jung Lee; Young Sun Kim; Joonsoo Lee; Chang Hun Kim
Journal:  PeerJ       Date:  2015-12-10       Impact factor: 2.984

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.