Twist and learn: interface learning in 3DOF exploration of 3D scatterplots

Mark Shovman; Andrea Szymkowiak; James L. Bown; Kenneth C. Scott-Brown

doi:10.1145/2702123.2702201

Twist and learn: interface learning in 3DOF exploration of 3D scatterplots

Mark Shovman, Andrea Szymkowiak, James L. Bown, Kenneth C. Scott-Brown

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (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 language	English
Title of host publication	Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
Place of Publication	New York
Publisher	Association for Computing Machinery (ACM)
Pages	313-316
Number of pages	4
ISBN (Print)	9781450331456
DOIs	https://doi.org/10.1145/2702123.2702201
Publication status	Published - 18 Apr 2015
Event	33rd Annual ACM Conference on Human Factors in Computing Systems: "Crossings": crossing borders, crossing boundaries, crossing disciplines, crossing people and technology, crossing past and future, crossing physical and digital, crossing art and science, … crossing you and me - Seoul, Korea, Republic of Duration: 18 Apr 2015 → 23 Apr 2015 Conference number: 33rd http://chi2015.acm.org/

Conference

Conference	33rd Annual ACM Conference on Human Factors in Computing Systems
Abbreviated title	CHI 2015
Country/Territory	Korea, Republic of
City	Seoul
Period	18/04/15 → 23/04/15
Internet address	http://chi2015.acm.org/

Keywords

3D controller
Interface learning
Scatterplot
Visual analytics

Access to Document

10.1145/2702123.2702201

James Bown
- J510915abertay.acuk
- Division of Games Technology and Mathematics - Professor of Systems Biology
Person: Academic
Kenneth Scott-Brown
- K511040abertay.acuk
- Division of Psychology and Forensic Sciences - Senior Lecturer
Person: Academic
Andrea Szymkowiak
- A511207abertay.acuk
- Division of Cybersecurity - Senior Lecturer
Person: Academic

Cite this

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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.",

author = "Mark Shovman and Andrea Szymkowiak and Bown, {James L.} and Scott-Brown, {Kenneth C.}",

year = "2015",

month = apr,

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doi = "10.1145/2702123.2702201",

language = "English",

isbn = "9781450331456",

pages = "313--316",

booktitle = "Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "33rd Annual ACM Conference on Human Factors in Computing Systems : {"}Crossings{"}: crossing borders, crossing boundaries, crossing disciplines, crossing people and technology, crossing past and future, crossing physical and digital, crossing art and science, … crossing you and me, CHI 2015 ; Conference date: 18-04-2015 Through 23-04-2015",

url = "http://chi2015.acm.org/",

}

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. et al.

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 proceeding › Conference contribution

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AU - Bown, James L.

AU - Scott-Brown, Kenneth C.

N1 - Conference code: 33rd

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Y1 - 2015/4/18

N2 - 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.

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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DO - 10.1145/2702123.2702201

M3 - Conference contribution

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Y2 - 18 April 2015 through 23 April 2015

ER -

Twist and learn: interface learning in 3DOF exploration of 3D scatterplots

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Conference

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James Bown

Kenneth Scott-Brown

Andrea Szymkowiak

Cite this