Intelligent Environments and Public Art
Open accessAbstract
Intelligent environments combine the promise of ubiquitous computing with artificial intelligence and are increasingly being used in public art. The agent-based approach to artificial intelligence (AI) uses the intelligence function to characterize agent-based behavior. The inputs to the intelligence function, perception of the environment and the agent's internal state, combined with the outputs of the function, actuation and changes in internal state, provides a lens with which to categorized AI-based public art. Such works can be classified as generative, reactive, interactive, learning, or static. To illustrate this taxonomy, this paper gives examples of public artworks that fit into each of the five categories and uses the taxonomy to suggest new areas of creative inquiry.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
The autonomy of generative AI agents is consistently growing and intervening in the design process.
“As the autonomy of such generative AI agents is consistently growing and intervening the design process, more viewpoints from diverse social stakeholders getting involved in the design process should be reconsidered and reinterpreted by the novel HAI creative community [55].”
Cites
I.—COMPUTING MACHINERY AND INTELLIGENCE
TURING, A. M. (1950) · Mind · doi:10.1093/mind/lix.236.433 · Cited by 10,290 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
He, Q., Zheng, W., Bao, H., Chen, R., & Tong, X. (2023) · Proceedings of the Eleventh International Symposium of Chinese CHI · doi:10.1145/3629606.3629675 · Cited by 15 · see citing works
- Authors
- Mendelowitz, E.
- Affiliations
- Mount Holyoke College (US)
- Corresponding author
- Mendelowitz, Eitan
- Venue
- Artnodes
- Published
- 2020-07-21
- Issue
- 26
- ISSN
- 1695-5951 (ISSN-L)
- OpenAlex
- W3014206586
- Cited by
- 10
- References
- 1
- Citations by year
- 2026: 3 · 2024: 5 · 2023: 1 · 2022: 1
- FWCI
- 6.20
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Artnodes (publishedVersion, cc-by)
- Dialnet (Universidad de la Rioja) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Art, Technology, and Culture
- Social Sciences › Urban Studies › Public Spaces through Art
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Digital Media and Visual Art
- Keywords
- smart environments, public art, ubiquitous computing, artificial intelligence in art, agent-based AI, intelligence function, generative art, interactive art
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
