Applying an Aesthetic Framework of Touch for Table-Top Interactions
Bibliographic record
Abstract
In this paper, we propose a conceptual framework for understanding the aesthetic qualities of multi-touch and tactile interfaces for table-top interaction. While aesthetics has traditionally been defined as the visual appearance of an artifact, we promote a tactile aesthetics that is firmly rooted in the experience of use and interaction. Our model of tactile aesthetics comprises four distinct yet overlapping areas: 1.) Embodiment which grounds our framework within the larger philosophical context of experience. 2.) Materiality which emphasizes the importance of the physical shape, form and texture of interactive systems. 3.) Sensorial Mapping which is the creation of appropriate cross-modal relationships between touch and our other senses. 4.) Semantics of Caress which is the investigation into the meaning of touch which can then inform computational models of gesture recognition. We apply this framework to evaluate a series of tactile and multi-touch artworks and discuss how our model can benefit the design of future multi- touch systems.
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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 | 0.000 | 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 | 0.000 | 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 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".