Designing co-creative AI for public spaces

Duri Long; Mikhail Jacob; Brian Magerko

doi:10.1145/3325480.3325504

Designing co-creative AI for public spaces

Duri Long, Mikhail Jacob, Brian Magerko

Communication Studies

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

41 Scopus citations

Abstract

Artificial intelligence (AI) is becoming increasingly pervasive in our everyday lives. There are consequently many common misconceptions about what AI is, what it is capable of, and how it works. Compounding the issue, opportunities to learn about AI are often limited to audiences who already have access to and knowledge about technology. Increasing access to AI in public spaces has the potential to broaden public AI literacy, and experiences involving co-creative (i.e. collaboratively creative) AI are particularly well-suited for engaging a broad range of participants. This paper explores how to design co-creative AI for public interaction spaces, drawing both on existing literature and our own experiences designing co-creative AI for public venues. It presents a set of design principles that can aid others in the development of co-creative AI for public spaces as well as guide future research agendas.

Original language	English (US)
Title of host publication	C and C 2019 - Proceedings of the 2019 Creativity and Cognition
Publisher	Association for Computing Machinery, Inc
Pages	271-284
Number of pages	14
ISBN (Electronic)	9781450359177
DOIs	https://doi.org/10.1145/3325480.3325504
State	Published - Jun 13 2019
Event	12th ACM Creativity and Cognition Conference, C and C 2019 - San Diego, United States Duration: Jun 23 2019 → Jun 26 2019

Publication series

Name	C and C 2019 - Proceedings of the 2019 Creativity and Cognition

Conference

Conference	12th ACM Creativity and Cognition Conference, C and C 2019
Country/Territory	United States
City	San Diego
Period	6/23/19 → 6/26/19

Funding

We would like to thank past and present members of the Expressive Machinery Lab, the Children’s Museum of Pittsburgh, Eyedrum Art and Music Gallery, and the Digital Interactive Liberal Arts Center at Georgia Tech for their support of this research. The Robot Improv Circus project is funded by a Creative Curricular Initiatives grant from the Georgia Tech Office of the Arts and the Georgia Tech Arts Council.

Keywords

Co-creative ai
Collaboration
Human-centered ai
Public displays
Reflection on design processes

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Software

Access to Document

10.1145/3325480.3325504

Cite this

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abstract = "Artificial intelligence (AI) is becoming increasingly pervasive in our everyday lives. There are consequently many common misconceptions about what AI is, what it is capable of, and how it works. Compounding the issue, opportunities to learn about AI are often limited to audiences who already have access to and knowledge about technology. Increasing access to AI in public spaces has the potential to broaden public AI literacy, and experiences involving co-creative (i.e. collaboratively creative) AI are particularly well-suited for engaging a broad range of participants. This paper explores how to design co-creative AI for public interaction spaces, drawing both on existing literature and our own experiences designing co-creative AI for public venues. It presents a set of design principles that can aid others in the development of co-creative AI for public spaces as well as guide future research agendas.",

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Long, D, Jacob, M & Magerko, B 2019, Designing co-creative AI for public spaces. in C and C 2019 - Proceedings of the 2019 Creativity and Cognition. C and C 2019 - Proceedings of the 2019 Creativity and Cognition, Association for Computing Machinery, Inc, pp. 271-284, 12th ACM Creativity and Cognition Conference, C and C 2019, San Diego, United States, 6/23/19. https://doi.org/10.1145/3325480.3325504

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PY - 2019/6/13

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Designing co-creative AI for public spaces

Abstract

Publication series

Conference

Funding

Keywords

ASJC Scopus subject areas

Access to Document

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