Breath, skin and clothing: Using wearable technologies as an interface into ourselves
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
AbstractThere is a common ground that exists between the first person methodologies of performance practice and the technology research of Human—Computer Interaction (HCI). Exploring this common ground, this essay describes movement research based in performance and somatics and then applied to the design of digital networked interfaces for wearable technologies. The research is based on a body of knowledge practices from performance/somatics that operate ‘from the inside out’, using the experience of the moving body to construct knowledge. Within both performance practice and HCI, there is a need to construct models of the user's experience. One of the key questions this paper asks is: How can we bridge specific domain knowledge within performance practice to transform design strategies for our new technologies? The first section provides a theoretical context for bridging embodied practices from performance to HCI, and looks at (1) how performance methodologies can be used as a model for experience, (2)...
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 | 0.000 | 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 | 0.001 | 0.005 |
| Open science | 0.001 | 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