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.
History
Publication title
Proceedings from the 2017 International Symposium on Big Data Visual Analytics
Volume
52
Pagination
1-6
ISBN
9781538607817
Department/School
Information and Communication Technology
Publisher
Institute of Electrical and Electronics Engineers
Publication status
Published
Place of publication
United States
Event title
2017 International Symposium on Big Data Visual Analytics
Event Venue
Adelaide, Australia
Date of Event (Start Date)
2017-11-07
Date of Event (End Date)
2017-11-10
Rights statement
Copyright 2017 IEEE
Socio-economic Objectives
280115 Expanding knowledge in the information and computing sciences