Cited by 70Innovative Human-Technology InteractionArt, Technology, and CultureDigital Media and Visual Art

Designing Co-Creative AI for Public Spaces

Long, Duri, Jacob, Mikhail, Magerko, Brian·2019·Proceedings of the 2019 on Creativity and Cognition

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.

Integrity signals

Registry

Crossref · 10.1145/3325480.3325504

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Long et al. (2019) engaged citizens in co-creating AI amenities in public spaces to broaden their public AI literacy and experiences.

    “Long et al. (2019)engaged citizens in co-creating AI amenities in public spaces to broaden their public AI literacy and experiences.”

    From Conceptualizing AI literacy: An exploratory review (2021) · cites this paper as Long et al. (2019)

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Long, D., Jacob, M., & Magerko, B.
Affiliations
Georgia Institute of Technology (US)
Venue
Proceedings of the 2019 on Creativity and Cognition
Publisher
ACM
Published
2019-06-13
Pages
271-284
OpenAlex
W2951146358
Cited by
70
References
3
Citations by year
2026: 14 · 2025: 17 · 2024: 8 · 2023: 10 · 2022: 9 · 2021: 7 · 2020: 4 · 2019: 1
FWCI
4.18
Type
conference paper
Language
en
Open access
closed
Locations
Creativity and Cognition (publishedVersion)
Funders
Georgia Institute of Technology
Topics
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
  • Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Art, Technology, and Culture
  • Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Digital Media and Visual Art
Keywords
public space, AI design principles, collaborative creativity, misconceptions about AI

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review