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abstract

Selection of Expanded Data Points in Immersive Analytics

Published: 29 November 2022 Publication History

Abstract

We propose a novel technique to facilitate the selection of data points, a type of data representation we often work with in immersive analytics. We designed and implemented this technique based on the expansion of data points following Fitt’s law. A user study was conducted in an headset-based augmented reality environment. The results significantly highlight the performance of our technique in helping the user select data points and their subjective appreciation in working with the expendable data points.

References

[1]
Tom Chandler, Maxime Cordeil, Tobias Czauderna, Tim Dwyer, Jaroslaw Glowacki, Cagatay Goncu, Matthias Klapperstueck, Karsten Klein, Kim Marriott, Falk Schreiber, and Elliot Wilson. 2015. Immersive Analytics. IEEE CS.
[2]
I Scott MacKenzie. 1992. Fitts’ law as a research and design tool in human-computer interaction. Human-computer interaction 7, 1 (1992), 91–139.
[3]
Michael McGuffin and Ravin Balakrishnan. 2002. Acquisition of expanding targets. In Proceedings of the SIGCHI.
[4]
Michael J McGuffin and Ravin Balakrishnan. 2005. Fitts’ law and expanding targets: Experimental studies and designs for user interfaces. ACM TOCHI (2005).
[5]
Shumin Zhai, Stéphane Conversy, Michel Beaudouin-Lafon, and Yves Guiard. 2003. Human on-line response to target expansion. In Proceedings of the SIGCHI.

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cover image ACM Conferences
VRST '22: Proceedings of the 28th ACM Symposium on Virtual Reality Software and Technology
November 2022
466 pages
ISBN:9781450398893
DOI:10.1145/3562939
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 November 2022

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