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Virtual reality-based human-data interaction

Citation

Widjojo, EA and Chinthammit, W and Engelke, U, Virtual reality-based human-data interaction, Proceedings from the 2017 International Symposium on Big Data Visual Analytics, 7-10 November 2017, Adelaide, Australia, pp. 1-6. ISBN 9781538607817 (2017) [Refereed Conference Paper]

Copyright Statement

Copyright 2017 IEEE

DOI: doi:10.1109/BDVA.2017.8114627

Abstract

Visual Analytics (VA) is a discipline that integrates computational and human efforts, allowing for effective data exploration with interactive and insightful user interfaces. Human- Data Interaction (HDI) is a relatively new term that we interpret here as the interactive interface between a human and the visual representation of the data, analogous to human computer interaction. Advanced user interfaces are widely integrated into modern computing devices enabling more effective human interaction with data sets. However, limited control and display modalities of computing devices often still do not easily facilitate exploration of the multidimensionality and heterogeneity of large data sets. Virtual Reality (VR) technologies have demonstrated their potential to unlock human understanding of complex data sets through immersion and natural spatial interaction. In this position paper, we share our views on how VR-based HDI can support exploration of multidimensional large data sets with the aim at providing direction for open research areas that may serve the design of a VR-based HDI system in this emerging field of research.

Item Details

Item Type:Refereed Conference Paper
Keywords:data visualization, visualization, data analysis, three-dimensional displays, cognition, spatial databases
Research Division:Information and Computing Sciences
Research Group:Information Systems
Research Field:Computer-Human Interaction
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Information and Computing Sciences
UTAS Author:Widjojo, EA (Miss Elisabeth Widjojo)
UTAS Author:Chinthammit, W (Dr Winyu Chinthammit)
ID Code:126847
Year Published:2017
Deposited By:Information and Communication Technology
Deposited On:2018-06-28
Last Modified:2018-07-31
Downloads:0

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