Interactive Tables in the Wild - Visitor Experiences with Multi-Touch Tables in the Arctic Exhibit at the Vancouver Aquarium
Bibliographic record
Abstract
This report describes and discusses the findings from a field study that was conducted at the Vancouver Aquarium to investigate how visitors explore and experience large horizontal multi-touch tables as part of public exhibition spaces. The study investigated visitors’ use of two different tabletop applications—the Collection Viewer and the Arctic Choices table—that are part of the Canada’s Arctic exhibition at the Vancouver Aquarium. Our findings show that both tabletop exhibits enhanced the exhibition in different ways. The Collection Viewer table evoked visitors curiosity by presenting visually interesting information and engaged by supporting lightweight, playful, and open-ended information exploration. The Arctic Choices table enabled visitors to explore a variety of information about environmental and political changes within the Arctic in depth by providing detailed data visualizations. The application triggered a lot of insightful discussions among visitors. Our study findings include a discussion of the factors that attracted visitors’ attention and triggered interaction with both tabletop exhibits, the character and duration of information exploration, general exploration strategies, and factors that triggered social and collaborative information exploration. We also discuss usability issues of both tabletop applications alongside possible solutions.
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.
How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".