Designing a model human cochlea: issues and challenges in crossmodal audio-haptic displays
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
In this paper, we describe a Model Human Cochlea (MHC), a sensory substitution technique aimed at translating some of the emotional content expressed in music onto a haptic ambient display. We present some of the issues and challenges encountered in designing the model. This research is situated within the domain of crossmodal displays, with specific focus on enhancing the entertainment experience associated with film audio for users who are deaf or hard of hearing. The interface, in its final form factor, will be integrated into an EmotiChair, a multi-sensory entertainment interface that supports crossmodal audio-haptic display interactions. To assist with the design of the MHC, we have developed a flexible prototype to support research in cross-modal audio-haptic displays. Details of the multidisciplinary design process that has informed the development of the the MHC prototype, and the evaluation methodology adopted to explore the different configurations of the MHC are presented.
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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 | 0.000 |
| 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