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Quantifying the Creativity Support of Digital Tools through the Creativity Support Index

Authors:

Celine LatulipeAuthors Info & Claims

ACM Transactions on Computer-Human Interaction (TOCHI), Volume 21, Issue 4

Article No.: 21, Pages 1 - 25

https://doi.org/10.1145/2617588

Published: 01 June 2014 Publication History

Abstract

Creativity support tools help people engage creatively with the world, but measuring how well a tool supports creativity is challenging since creativity is ill-defined. To this end, we developed the Creativity Support Index (CSI), which is a psychometric survey designed for evaluating the ability of a creativity support tool to assist a user engaged in creative work. The CSI measures six dimensions of creativity support: Exploration, Expressiveness, Immersion, Enjoyment, Results Worth Effort, and Collaboration. The CSI allows researchers to understand not just how well a tool supports creative work overall, but what aspects of creativity support may need attention. In this article, we present the CSI, along with scenarios for how it can be deployed in a variety of HCI research settings and how the CSI scores can help target design improvements. We also present the iterative, rigorous development and validation process used to create the CSI.

References

[1]

Robert S. Albert and Mark A. Runco. 1999. A history of research on creativity. In Handbook of Creativity. Springer.

[2]

Teresa M. Amabile. 1996. Creativity in Context: Update to the Social Psychology of Creativity. Westview Press.

[3]

Ronald A. Beghetto and James C. Kaufman. 2007. Toward a broader conception of creativity: A case for “mini-c” creativity. Psychology of Aesthetics, Creativity, and the Arts 1, 2, 73--79.

[4]

Margaret A. Boden. 2004. The Creative Mind: Myths and Mechanisms. Psychology Press.

Digital Library

[5]

Linda Candy. 2013. Evaluating creativity. In Creativity and Rationale: Enhancing Human Experience by Design. Springer.

[6]

Erin A. Carroll and Celine Latulipe. 2009. The creativity support index. In ACM CHI 2008 Extended Abstracts.

Digital Library

[7]

Erin A. Carroll and Celine Latulipe. 2012. Triangulating the personal creative experience: Self-Report, external judgments, and physiology. In Proceedings of Graphics Interface 2012.

Digital Library

[8]

Erin A. Carroll, Celine Latulipe, Richard Fung, and Michael Terry. 2009. Creativity factor evaluation: Towards a standardized survey metric for creativity support. In Proceedings of ACM Creativity & Cognition 2009.

Digital Library

[9]

Mihaly Csikszentmihalyi. 1997. Creativity: Flow and the Psychology of Discovery and Invention. Harper Perennial.

[10]

Richard Fung, E. Lank, Michael Terry, and Celine Latulipe. 2008. Kinematic templates: End-user tools for content-relative cursor manipulations. In Proceedings of ACM UIST’08.

Digital Library

[11]

Berto Gonzalez and Celine Latulipe. 2011. BiCEP: Bimanual color exploration plugin. In ACM CHI’11 Extended Abstracts.

Digital Library

[12]

J. P. Guilford. 2001. Creative Projects with LEGO Mindstorms. Addison-Wesley Professional.

Digital Library

[13]

Sandra G. Hart. 2006. NASA task load index (NASA TLX): 20 Years Later. In Human Factors and Ergonomics Society Annual Meeting Proceedings.

[14]

Sandra G. Hart and Lowell E. Staveland. 1988. Development of NASA-TLX (task load index): Results of empirical and theoretical research. Human Mental Workload (1988).

[15]

Tom Hewett, Mary Czerwinkski, Michael Terry, Jay Nunamaker, Linda Candy, Bill Kulers, and Elisabeth Sylvan. 2005. Creativity support tool evaluation methods and metrics. In NSF Workshop Report on Creativity Support Tools.

[16]

Dennis Hocevar. 1979. Ideational fluency as a confounding factor in the measurement of originality. Journal of Educational Psychology 71, 2, 191--196.

[17]

Dennis Hocevar and Patricia Bachelor. 1989. A taxonomy and critique of measurements used in the study of creativity. In Handbook of Creativity. Springer.

[18]

Michael J. A. Howe. 2000. Genius Explained. Cambridge University Press.

[19]

H. F. Kaiser. 1960. The application of electronic computers to factor analysis. Educational and Psychological Measurement 20, 141--151.

[20]

James C. Kaufman and Ronald A. Beghetto. 2009. Beyond big and little: The four c model of creativity. Review of General Psychology 13, 1, 1--12.

[21]

Andruid Kerne, Steven M. Smith, Eunyee Koh, Hyun Choi, and Ross Graeber. 2008. An Experimental Method for Measuring the Emergence of New Ideas in Information Discovery. International Journal of Human-Computer Interaction 24(5), 460--477.

[22]

M. J. Kim and Mary Lou Maher. 2005. Comparison of Designers Using a Tangible User Interface and a Graphical User Interface and the Impact on Spatial Cognition. Technical Report.

[23]

Celine Latulipe. 2013. The value of research in creativity and the arts. In Proceedings of ACM Creativity and Cognition’13.

Digital Library

[24]

Celine Latulipe, Ian Bell, C. Clarke, and C. Kaplan. 2006. symTone: Two-handed manipulation of tone reproduction curves. In Proceedings of GI’06.

Digital Library

[25]

J. Read, S. MacFarlane, and C. Casey. 2002. Endurability, engagement, and expectations: Measuring children’s fun. In IDC’02.

[26]

Ben Shneiderman. 2007. Creativity support tools: Accelerating discovery and innovation. Commun. ACM 50, 12, 20--32.

Digital Library

[27]

B. Shneiderman, G. Fischer, and M. Czerwinski. 2006. Creativity support tools: Report from a US National Science Foundation sponsored workshop. International Journal of Human-Computer Interaction 20, 2, 61--77.

Cited By

Benbelkheir YLerga AArdaiz O(2024)A Virtual Reality Direct-Manipulation Tool for Posing and Animation of Digital Human Bodies: An Evaluation of Creativity SupportMultimodal Technologies and Interaction10.3390/mti80700608:7(60)Online publication date: 10-Jul-2024
https://doi.org/10.3390/mti8070060
Gallega RSumi Y(2024)Exploring the use of generative AI for material texturing in 3D interior design spacesFrontiers in Computer Science10.3389/fcomp.2024.14939376Online publication date: 28-Nov-2024
https://doi.org/10.3389/fcomp.2024.1493937
Zhang HChen PXie XJiang ZZhou ZSun L(2024)A Hybrid Prototype Method Combining Physical Models and Generative Artificial Intelligence to Support Creativity in Conceptual DesignACM Transactions on Computer-Human Interaction10.1145/368943331:5(1-34)Online publication date: 2-Sep-2024
https://dl.acm.org/doi/10.1145/3689433
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Index Terms

Quantifying the Creativity Support of Digital Tools through the Creativity Support Index
1. Human-centered computing
  1. Human computer interaction (HCI)

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Information

Published In

cover image ACM Transactions on Computer-Human Interaction

ACM Transactions on Computer-Human Interaction Volume 21, Issue 4

August 2014

141 pages

ISSN:1073-0516

EISSN:1557-7325

DOI:10.1145/2633907

Editor:
Shumin Zhai
Google

Issue’s Table of Contents

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2014

Accepted: 01 May 2014

Revised: 01 July 2013

Received: 01 November 2012

Published in TOCHI Volume 21, Issue 4

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Cited By

Benbelkheir YLerga AArdaiz O(2024)A Virtual Reality Direct-Manipulation Tool for Posing and Animation of Digital Human Bodies: An Evaluation of Creativity SupportMultimodal Technologies and Interaction10.3390/mti80700608:7(60)Online publication date: 10-Jul-2024
https://doi.org/10.3390/mti8070060
Gallega RSumi Y(2024)Exploring the use of generative AI for material texturing in 3D interior design spacesFrontiers in Computer Science10.3389/fcomp.2024.14939376Online publication date: 28-Nov-2024
https://doi.org/10.3389/fcomp.2024.1493937
Zhang HChen PXie XJiang ZZhou ZSun L(2024)A Hybrid Prototype Method Combining Physical Models and Generative Artificial Intelligence to Support Creativity in Conceptual DesignACM Transactions on Computer-Human Interaction10.1145/368943331:5(1-34)Online publication date: 2-Sep-2024
https://dl.acm.org/doi/10.1145/3689433
Ghajargar M(2024)AI and Future-Making: Design, Biases, and Human-Plant InteractionsProceedings of the 27th International Academic Mindtrek Conference10.1145/3681716.3681738(24-35)Online publication date: 8-Oct-2024
https://dl.acm.org/doi/10.1145/3681716.3681738
Gruy EBerthaut F(2024)Musical Drawing in 2D and 3D: Dimensions and PerspectivesProceedings of the 19th International Audio Mostly Conference: Explorations in Sonic Cultures10.1145/3678299.3678317(181-188)Online publication date: 18-Sep-2024
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Schlagowski RMertes SNazarenko DDauber AAndré E(2024)XR Composition in the Wild: The Impact of User Environments on Creativity, UX and Flow during Music Production in Augmented RealityProceedings of the 19th International Audio Mostly Conference: Explorations in Sonic Cultures10.1145/3678299.3678314(152-161)Online publication date: 18-Sep-2024
https://dl.acm.org/doi/10.1145/3678299.3678314
Ling LChen XWen RLi TLC R(2024)Sketchar: Supporting Character Design and Illustration Prototyping Using Generative AIProceedings of the ACM on Human-Computer Interaction10.1145/36771028:CHI PLAY(1-28)Online publication date: 15-Oct-2024
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Frich JDalsgaard PTaranu MMose Biskjaer M(2024)How Are Measures of Usability and Creativity Support Correlated?Proceedings of the European Conference on Cognitive Ergonomics 202410.1145/3673805.3673815(1-7)Online publication date: 8-Oct-2024
https://dl.acm.org/doi/10.1145/3673805.3673815
Lin DKang HMartelaro NKittur AChen YHong M(2024)Inkspire: Sketching Product Designs with AIAdjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3672539.3686339(1-6)Online publication date: 13-Oct-2024
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Yu EChevalier FSingh KBousseau A(2024)3D-Layers: Bringing Layer-Based Color Editing to VR PaintingACM Transactions on Graphics10.1145/365818343:4(1-15)Online publication date: 19-Jul-2024
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