@inproceedings{reski2020eot,
	author		= {Nico Reski and Aris Alissandrakis and Andreas Kerren},
	title		= {{Exploration of Time-Oriented Data in Immersive {Virtual Reality} Using a {3D Radar Chart} Approach}},
	booktitle	= {Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society (NordiCHI 2020)},
	pages		= {33:1--11},
	address		= {Tallinn, Estonia},
	publisher	= {Association for Computing Machinery (ACM)},
	date		= {2020-10-25/2020-10-29},
	language	= {english},
	url			= {https://doi.org/10.1145/3419249.3420171},
	doi 		= {10.1145/3419249.3420171},
	diva 		= {http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-98671},
	isbn		= {9781450375795},
	keywords	= {immersive analytics, radar chart, time-oriented data, virtual reality, 3D gestural input},
	abstract	= {In this paper, we present an approach to interact with time-oriented data in Virtual Reality within the context of Immersive Analytics. We implemented a Virtual Reality application that enables its user to explore data in an immersive environment (head-mounted display, 3D gestural input), utilizing potential advantages of immersive technologies, for instance, depth cues for better spatial understanding, natural interaction, and user engagement. The visualization design is inspired by the overall concept of a radar chart, and using the third dimension to represent time-series related data. We conducted a user study with 15 participants, encouraging them to examine a representative dataset within an explorative analysis scenario with no time constraints. Based on the results of usability and user engagement scores, task completion analysis, observations, and interviews, we were able to empirically validate the approach in general, and gain insights in the users’ interaction and data analysis strategies.}
}