Roles of an Interactive Media Façade in a Digital Agora
Bibliographic record
Abstract
As a component of urban civic infrastructures, interactive screen technology is often studied, designed and produced top-down style to accommodate the diverging interests of its stakeholders. However, some HCI researchers are calling for new interaction design strategies that could help close the gap between top-down and bottom-up approaches in the study of situated interfaces used for civic engagement. Our paper reports on the public deployment of an interactive platform that might anticipate this next generation of situated interfaces. In Fall 2013, we conducted a ten-week qualitative field evaluation of Mégaphone, a digitally-augmented agora deployed in Montréal's Quartier des Spectacles. Using ethnographic research methods, we collected data in-the-wild and conducted in-depth semi-structured interviews with over 21 participants to understand why and how urbanites used the installation. This paper presents five conceptual categories that describe the most salient forms of interaction that we observed between users and Mégaphone's voice-activated media façade.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".