abstract

Mixed-Initiative Creative Interfaces

Authors:

Sebastian Deterding,

Rebecca Fiebrink,

Antonios Liapis,

Kate ComptonAuthors Info & Claims

CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems

Pages 628 - 635

https://doi.org/10.1145/3027063.3027072

Published: 06 May 2017 Publication History

Abstract

Enabled by artificial intelligence techniques, we are witnessing the rise of a new paradigm of computational creativity support: mixed-initiative creative interfaces put human and computer in a tight interactive loop where each suggests, produces, evaluates, modifies, and selects creative outputs in response to the other. This paradigm could broaden and amplify creative capacity for all, but has so far remained mostly confined to artificial intelligence for game content generation, and faces many unsolved interaction design challenges. This workshop therefore convenes CHI and game researchers to advance mixed-initiative approaches to creativity support.

References

[1]

Ben Shneiderman. 2007. Creativity support tools: accelerating discovery and innovation. Communications of the ACM 50, 12: 20--32. https://doi.org/10.1145/1323688.1323689

Digital Library

[2]

Jon McCormack and Mark D'Inverno. 2014. On the Future of Computers and Creativity. AISB14 Symposium on Computational Creativity, 1--4.

[3]

Todd Lubart. 2005. How can computers be partners in the creative process: Classification and commentary on the Special Issue. International Journal of Human Computer Studies 63, 4--5: 365-- 369. https://doi.org/10.1016/j.ijhcs.2005.04.002

Digital Library

[4]

Simon Colton, R Lopez De Mantaras, and O Stock. 2009. Computational Creativity: Coming of Age. AI Magazine 30, 3: 11--14. https://doi.org/10.1609/aimag.v30i3.2257

Digital Library

[5]

Antonios Liapis, Georgios N Yannakakis, Constantine Alexopoulos, and Phil Lopes. 2016. Can Computers Foster Human User's Creativity? Theory and Practice of Mixed-Initiative CoCreativity. Digital Culture & Education 8, 2: 136-- 153.

[6]

Antonios Liapis, Gillian Smith, and Noor Shaker. 2016. Mixed-initiative Content Creation. In Procedural Content Generation in Games: A Textbook and an Overview of Current Research, Noor Shaker, Julian Togelius and Mark J. Nelson (eds.). Springer, 195--214.

[7]

Donald A, Schön. 1992. Designing as reflective conversation with the materials of a design situation. Research in Engineering Design 3, 3: 131--147.

[8]

Joseph Carl Robnett Licklider. 1960. Man-Computer Symbiosis. IRE Transactions on Human Factors in Electronics 1, 1: 4--11. https://doi.org/10.1109/THFE2.1960.4503259

[9]

Jaime R Carbonell. 1971. AI in CAI: An Artificial Intelligence Approach to Computer-Assisted Instruction. IEEE Transactions on Man-Machine Systems 11, 4: 190--202. https://doi.org/10.1109/TMMS.1970.299942

[10]

Eric Horvitz. 1999. Principles of mixed-initiative user interfaces. In Proceedings of the ACM CHI 99 Human Factors in Computing Systems Conference (CHI'99), 159--166. https://doi.org/10.1145/302979.303030

Digital Library

[11]

Marti Hearst, James F. Allen, Eric Horvitz, and Curry I. Guinn. 1999. Mixed-initiative interaction. IEEE Intelligent Systems and their Applications 14, 5: 14--23.

Digital Library

[12]

Kate Compton and Michael Mateas. 2015. Casual Creators. Proceedings of the Sixth International Conference on Computational Creativity, 228--235.

[13]

Simon Katan, Mick Grierson, and Rebecca Fiebrink. 2015. Using Interactive Machine Learning to Support Interface Development Through Workshops with Disabled People. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI'15), 251--254. https://doi.org/10.1145/2702123.2702474

Digital Library

[14]

Hugo Scurto and Rebecca Fiebrink. 2016. Graband-Play Mapping: Creative machine Learning Approaches for musical Inclusion and Exploration. In International Computer Music Conference.

[15]

Nicholas Davis, Chih-pin Hsiao, Kunwar Yashraj Singh, Lisa Li, Sanat Moningi, and Brian Magerko. 2015. Drawing Apprentice: An Enactive Co-Creative Agent for Artistic Collaboration. In Proceedings of the 2015 ACM SIGCHI Conference on Creativity and Cognition, 185--186.

Digital Library

[16]

Artem M. Chirkin and Reinhard Koenig. 2016. Concept of Interactive Machine Learning in Urban Design Problems. In Proceedings of the SEACHI 2016 on Smart Cities for Better Living with HCI and UX, 10--13.

Digital Library

[17]

Saleema Amershi, Maya Cakmak, William Bradley Knox, and Todd Kulesza. 2014. Power to the People: The Role of Humans in Interactive Machine Learning. AI Magazine 35, 4: 105--120. https://doi.org/10.1609/aimag.v35i4.2513

Digital Library

[18]

Stephen Makonin, Daniel Mcveigh, Wolfgang Stuerzlinger, Khoa Tran, and Fred Popowich. 2016. Mixed-Initiative for Big Data: The Intersection of Human + Visual Analytics + Prediction. In Proceedings of the 49th Hawaii International Conference on System Sciences, 1427--1436.

Digital Library

[19]

Jelena Stajic, Richard Stone, Gilbert Chin, and Brad Wible. 2015. Rise of the Machines. Science 349, 6245: 248--249.

[20]

Ewa Luger and Abigail Sellen. 2016. "Like Having a Really Bad PA": The Gulf between User Expectation and Experience of Conversational Agents. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'16), 5286-- 5297. https://doi.org/10.1145/2858036.2858288

Digital Library

[21]

Rebecca Fiebrink, Dan Trueman, and Perry R. Cook. 2009. A metainstrument for interactive, on-the-fly machine learning. In Proceedings of the 9th New Interfaces for Musical Expression Conference.

[22]

Gillian Smith, Jim Whitehead, Michael Mateas. 2011. Tanagra: Reactive planning and constraint solving for mixed-initiative level design. IEEE Transactions on Computational Intelligence and AI in Games 3, 3: 201--215.

[23]

Antonios Liapis, Georgios N. Yannakakis, Julian Togelius. 2013. Sentient Sketchbook: Computer Aided Game Level Authoring. In Proceedings of the 8th Conference on the Foundations of Digital Games (FDG'13), 213--220.

Cited By

A.V. AShilton AGupta SRyan SAbdolshah MLe HRana SBerk JRashid MVenkatesh S(2025)Accelerated experimental design using a human-AI teaming frameworkKnowledge-Based Systems10.1016/j.knosys.2025.113138(113138)Online publication date: Mar-2025
https://doi.org/10.1016/j.knosys.2025.113138
Chung KLee M(2024)Exploring AI for Creative Fashion Image Generation through HAICJournal of the Korean Society of Costume10.7233/jksc.2024.74.1.06174:1(61-87)Online publication date: 29-Feb-2024
https://doi.org/10.7233/jksc.2024.74.1.061
Yang DKleinman ETroiano GTochilnikova EHarteveld C(2024)Snake Story: Exploring Game Mechanics for Mixed-initiative Co-creative Storytelling GamesProceedings of the 19th International Conference on the Foundations of Digital Games10.1145/3649921.3649996(1-11)Online publication date: 21-May-2024
https://dl.acm.org/doi/10.1145/3649921.3649996
Show More Cited By

Index Terms

Mixed-Initiative Creative Interfaces
1. Human-centered computing
2. Software and its engineering
  1. Software creation and management
    1. Designing software
      1. Software implementation planning
        Software design techniques
    2. Software development process management

Recommendations

Natural Language, Mixed-initiative Personal Assistant Agents
IMCOM '18: Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication

The increasing popularity and use of personal voice assistant technologies, such as Siri and Google Now, is driving and expanding progress toward the long-term and lofty goal of using artificial intelligence to build human-computer dialog systems ...
Augmenting Personal Creativity with Artificial Intelligence: Workshop proposal for Creativity and Cognition 2022
C&C '22: Proceedings of the 14th Conference on Creativity and Cognition

This workshop focuses on emerging approaches for using Artificial Intelligence (AI) systems to support and augment personal creativity. Recent developments in generative Machine Learning demonstrate the ability of AI systems to perform tasks which are ...
Conceptual Recombination: A method for producing exploratory and transformational creativity in creative works

Computational creativity researchers have long been searching for a reliable creative method of generating transformational creativity in Creativity Support Tools, in vain, especially when these systems are supposed to take in a user's unfinished ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems

May 2017

3954 pages

ISBN:9781450346566

DOI:10.1145/3027063

General Chairs:
Gloria Mark
University of California Irvine
,
Susan Fussell
Cornell University
,
Program Chairs:
Cliff Lampe
University of Michigan
,
m.c. schraefel
University of Southampton
,
Juan Pablo Hourcade
University of Iowa
,
Caroline Appert
Université Paris-Sud
,
Daniel Wigdor
University of Toronto

Copyright © 2017 Owner/Author.

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.

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 May 2017

Check for updates

Author Tags

Qualifiers

Abstract

Funding Sources

EPSRC/AHRC/Innovate UK

Conference

CHI '17

Sponsor:

SIGCHI

CHI '17: CHI Conference on Human Factors in Computing Systems

May 6 - 11, 2017

Colorado, Denver, USA

Acceptance Rates

CHI EA '17 Paper Acceptance Rate 1,000 of 5,000 submissions, 20%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

Upcoming Conference

CHI 2025

Sponsor:
sigchi

ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

52
Total Citations
View Citations
1,339
Total Downloads

Downloads (Last 12 months)253
Downloads (Last 6 weeks)29

Reflects downloads up to 08 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

A.V. AShilton AGupta SRyan SAbdolshah MLe HRana SBerk JRashid MVenkatesh S(2025)Accelerated experimental design using a human-AI teaming frameworkKnowledge-Based Systems10.1016/j.knosys.2025.113138(113138)Online publication date: Mar-2025
https://doi.org/10.1016/j.knosys.2025.113138
Chung KLee M(2024)Exploring AI for Creative Fashion Image Generation through HAICJournal of the Korean Society of Costume10.7233/jksc.2024.74.1.06174:1(61-87)Online publication date: 29-Feb-2024
https://doi.org/10.7233/jksc.2024.74.1.061
Yang DKleinman ETroiano GTochilnikova EHarteveld C(2024)Snake Story: Exploring Game Mechanics for Mixed-initiative Co-creative Storytelling GamesProceedings of the 19th International Conference on the Foundations of Digital Games10.1145/3649921.3649996(1-11)Online publication date: 21-May-2024
https://dl.acm.org/doi/10.1145/3649921.3649996
Jeon YKim JPark SKo YRyu SKim SHan K(2024)HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web SystemProceedings of the ACM on Human-Computer Interaction10.1145/36373408:CSCW1(1-34)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637340
Deshpande MPark JPait SMagerko B(2024)Perceptions of Interaction Dynamics in Co-Creative AI: A Comparative Study of Interaction Modalities in DrawctoProceedings of the 16th Conference on Creativity & Cognition10.1145/3635636.3656202(102-116)Online publication date: 23-Jun-2024
https://dl.acm.org/doi/10.1145/3635636.3656202
Palani SRamos G(2024)Evolving Roles and Workflows of Creative Practitioners in the Age of Generative AIProceedings of the 16th Conference on Creativity & Cognition10.1145/3635636.3656190(170-184)Online publication date: 23-Jun-2024
https://dl.acm.org/doi/10.1145/3635636.3656190
Ford CNoel-Hirst ACardinale SLoth JSarmento PWilson EWolstanholme LWorrall KBryan-Kinns N(2024)Reflection Across AI-based Music CompositionProceedings of the 16th Conference on Creativity & Cognition10.1145/3635636.3656185(398-412)Online publication date: 23-Jun-2024
https://dl.acm.org/doi/10.1145/3635636.3656185
Moruzzi CMargarido S(2024)A User-centered Framework for Human-AI Co-creativityExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650929(1-9)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650929
Muller MKantosalo AMaher MMartin CWalsh G(2024)GenAICHI 2024: Generative AI and HCI at CHI 2024Extended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3636294(1-7)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3636294
Ngoon TSushil SStewart ALee UVenkatraman SThawani NMitra PClarke SZimmerman JOgan A(2024)ClassInSight: Designing Conversation Support Tools to Visualize Classroom Discussion for Personalized Teacher Professional DevelopmentProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642487(1-15)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642487
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten