Twist and learn

interface learning in 3DOF exploration of 3D scatterplots

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The increasing availability of 3D interfaces brings promise of improved user experience in diverse areas. Our study focuses on visual analytics, testing whether 3D interactivity improves performance in a visual data exploration task. Specifically, we compared scene rotation around vertical axis to a full 3D rotation using a InterSense IS-900 3D controller, in a task involving trivariate trend detection in a 3D scatterplot. We found that, while 3D rotation leads to slower performance, previous exposure to single-axis rotation removes that difference. This shows that an interactive 3D scatterplot can be an effective visual exploration technique for detecting trivariate patterns in the data, and highlights the role of interface learning in design and assessment of novel interfaces.
Original languageEnglish
Title of host publicationProceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages313-316
Number of pages4
ISBN (Print)9781450331456
DOIs
Publication statusPublished - 18 Apr 2015
Event33rd Annual ACM Conference on Human Factors in Computing Systems - Seoul, Korea, Republic of
Duration: 18 Apr 201523 Apr 2015
Conference number: 33rd
http://chi2015.acm.org/

Conference

Conference33rd Annual ACM Conference on Human Factors in Computing Systems
Abbreviated titleCHI 2015
CountryKorea, Republic of
CitySeoul
Period18/04/1523/04/15
Internet address

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Cite this

Shovman, M., Szymkowiak, A., Bown, J. L., & Scott-Brown, K. C. (2015). Twist and learn: interface learning in 3DOF exploration of 3D scatterplots. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 313-316). New York: Association for Computing Machinery (ACM). https://doi.org/10.1145/2702123.2702201
Shovman, Mark ; Szymkowiak, Andrea ; Bown, James L. ; Scott-Brown, Kenneth C. / Twist and learn : interface learning in 3DOF exploration of 3D scatterplots. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. New York : Association for Computing Machinery (ACM), 2015. pp. 313-316
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title = "Twist and learn: interface learning in 3DOF exploration of 3D scatterplots",
abstract = "The increasing availability of 3D interfaces brings promise of improved user experience in diverse areas. Our study focuses on visual analytics, testing whether 3D interactivity improves performance in a visual data exploration task. Specifically, we compared scene rotation around vertical axis to a full 3D rotation using a InterSense IS-900 3D controller, in a task involving trivariate trend detection in a 3D scatterplot. We found that, while 3D rotation leads to slower performance, previous exposure to single-axis rotation removes that difference. This shows that an interactive 3D scatterplot can be an effective visual exploration technique for detecting trivariate patterns in the data, and highlights the role of interface learning in design and assessment of novel interfaces.",
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Shovman, M, Szymkowiak, A, Bown, JL & Scott-Brown, KC 2015, Twist and learn: interface learning in 3DOF exploration of 3D scatterplots. in Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), New York, pp. 313-316, 33rd Annual ACM Conference on Human Factors in Computing Systems, Seoul, Korea, Republic of, 18/04/15. https://doi.org/10.1145/2702123.2702201

Twist and learn : interface learning in 3DOF exploration of 3D scatterplots. / Shovman, Mark; Szymkowiak, Andrea; Bown, James L.; Scott-Brown, Kenneth C.

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. New York : Association for Computing Machinery (ACM), 2015. p. 313-316.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Scott-Brown, Kenneth C.

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AB - The increasing availability of 3D interfaces brings promise of improved user experience in diverse areas. Our study focuses on visual analytics, testing whether 3D interactivity improves performance in a visual data exploration task. Specifically, we compared scene rotation around vertical axis to a full 3D rotation using a InterSense IS-900 3D controller, in a task involving trivariate trend detection in a 3D scatterplot. We found that, while 3D rotation leads to slower performance, previous exposure to single-axis rotation removes that difference. This shows that an interactive 3D scatterplot can be an effective visual exploration technique for detecting trivariate patterns in the data, and highlights the role of interface learning in design and assessment of novel interfaces.

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Shovman M, Szymkowiak A, Bown JL, Scott-Brown KC. Twist and learn: interface learning in 3DOF exploration of 3D scatterplots. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery (ACM). 2015. p. 313-316 https://doi.org/10.1145/2702123.2702201