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A Plurality of Practices: Artistic Narratives in HCI Research
Open accessAbstract
The arts and Human Computer Interaction (HCI) have a lot in common. As part of computer science HCI is ground breaking, interdisciplinary and focused on the interactions that form part of our everyday world. As part of the arts, HCI is a lens on technology, showing us spaces where there is room to interact and create new and meaningful blended experiences. It is therefore no surprise that many researchers and practitioners in our field have and maintain creative practices alongside, and as part of their research. We explore how these dual practices relate to each other, and how we might reconcile our mindful creative experiences with the formality of research. What benefits does such duality have, and can we illustrate the value of arts practice in HCI? This pictorial curates diverse artistic practice from a range of researchers, and offers reflection on the benefits and tensions in creativity and computing.
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First-person approaches demonstrate value in giving insights into personal experience.
“We were inspired by first-person approaches [52,66] across HCI such as collaborative pieces [62,91], autoethnographies [61,65,76,87] and vignettes [5,24], demonstrating the value of first-person approaches in giving insights into personal experience.”
From Reflection Across AI-based Music Composition (2024) · cites this paper as [91]
The participants are composers and artist-researchers with a unique perspective in that they think about AI music in their everyday work life, have technical skills to use state-of-the-art AIGC within a music practice, and have academic writing skills for the first-person accounts.
“Our participants are thus composers and artist-researchers [91] with a unique perspective in that they think about AI music in their everyday work life, have technical skills to use state-of-the-art AIGC within a music practice, and have academic writing skills for the first-person accounts.”
From Reflection Across AI-based Music Composition (2024) · cites this paper as [91]
The paper does not claim its findings generalise without further investigation but suggests they capture qualities of a plurality of artist-researchers' real-world practice.
“We do not claim our findings generalise without further investigation but suggest that they capture qualities of a plurality of our artist-researchers' [91] real-world practice.”
From Reflection Across AI-based Music Composition (2024) · cites this paper as [91]
The structured activity meant the paper was able to collect data from the unique perspectives of artist-researchers who have limited time to be creative, with the interviews acting as a useful contingency in case participants could not complete their first-person accounts.
“On the other hand, our structured activity meant that we were able to collect data from the unique perspectives of artist-researchers who have limited time to be creative [91], with the interviews acting as a useful contingency in case participants could not complete their first-person accounts.”
From Reflection Across AI-based Music Composition (2024) · cites this paper as [91]
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Metadata
- Authors
- Sturdee, M., Lewis, M., Strohmayer, A., Spiel, K., Koulidou, N., Alaoui, S. F., & Urban Davis, J.
- Affiliations
- Lancaster University (GB)
- Kingston University London (GB)
- Northumbria University (GB)
- TU Wien (AT)
- Sheffield Hallam University (GB)
- Institut national de recherche en sciences et technologies du numérique (FR)
- Discovery Lab Dartmouth College, United States
- ORCID
- Venue
- Creativity and Cognition
- Publisher
- ACM
- Published
- 2021-06-22
- Pages
- 1-14
- OpenAlex
- W3173643164
- Cited by
- 58
- References
- 26
- Citations by year
- 2026: 21 · 2025: 10 · 2024: 11 · 2023: 6 · 2022: 10
- FWCI
- 64.20
- Type
- conference paper
- Language
- en
- Open access
- green
- eprints.lancs.ac.uk
- Locations
- Creativity and Cognition (publishedVersion)
- Northumbria Research Link (Northumbria University) (acceptedVersion)
- SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University) (acceptedVersion)
- Lancaster EPrints (Lancaster University) (submittedVersion)
- HAL (submittedVersion)
- Research Repository (Kingston University London) (submittedVersion)
- Funders
- Austrian Science Fund (FWF) (T 1146-G)
- Topics
- Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Art, Technology, and Culture
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Artistic and Creative Research
- Keywords
- artistic practice, HCI research, art and technology, creative practice, research practices, artistic narrative, interdisciplinary research
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 ›
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