Journal article
Introducing the method of exhibit-based research
- Abstract:
- This paper introduces a method, Exhibit Based Research (EBR), in which we deploy standalone gallery exhibits as a central component of our research program. We adopt this method to distill complex visual research problems and problematize technological affordances. In the two case studies outlined in this paper, we deploy this method to articulate the role played by algorithms in processes of inspiration, design, and curation. EBR includes a practice-based component, the co-design of an exhibit, a participant engagement component, and interactive, multimodal data collection. The EBR approach creates a dynamic engagement between the public, academia, and creatives, increasing the relevancy of findings across audiences and advancing public understandings. This methodological paper aims to encourage other researchers in the community to consider EBR as an inclusive, immediate, and effective means of revealing opaque concepts and mechanisms via exhibition design.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 6.2MB, Terms of use)
-
- Publisher copy:
- 10.1145/3627691.3627696
Authors
+ University of Oxford
More from this funder
- Funder identifier:
- https://ror.org/052gg0110
- Grant:
- 2021/PSF/11551
- Publisher:
- Association for Computing Machinery
- Journal:
- Communication Design Quarterly More from this journal
- Volume:
- 12
- Issue:
- 1
- Pages:
- 44-49
- Publication date:
- 2025-01-23
- Acceptance date:
- 2023-11-06
- DOI:
- ISSN:
-
2166-1642
- Language:
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English
- Keywords:
- Pubs id:
-
2083029
- Local pid:
-
pubs:2083029
- Source identifiers:
-
W4406758255
- Deposit date:
-
2026-05-01
- ARK identifier:
Terms of use
- Copyright holder:
- Eccles et al.
- Copyright date:
- 2025
- Rights statement:
- Copyright © 2025 Copyright is held by the owner/author(s).
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from Association for Computing Machinery at https://dx.doi.org/10.1145/3627691.3627696
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