Tangible, Public, and Miniature Creative Exchanges: What HCI and Design Researchers Can Learn From the Free Little Art Gallery Movement
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
HCI researchers are continually exploring new ways of engaging the public in participatory design and bringing creative making research activities to new audiences. In this paper, we interviewed individuals who independently began public and DIY installations for sharing miniature art among their neighbours. During the COVID-19 pandemic, participatory miniature art exchanges, commonly known as Free Little Art Galleries (FLAGs), organically spread in response to lockdowns and institutional constraints. In this qualitative study, we interviewed 20 FLAG ‘curators’ to understand the implications involved in setting up and maintaining these long-term deployments. From the analysis of these interviews, we provide 5 practical recommendations on supporting these types of deployments, and discuss how HCI researchers can expand upon these DIY participatory practices to bring creative ideation activities on the future of technology to broader audiences.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it