Interactive Audio Content: An Approach to Audio Content for a Dynamic Museum Experience through Augmented Audio Reality and Adaptive Information Retrieval
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
ec(h)o is an “audio augmented reality interface” utilizing spatialized soundscapes and a semantic web approach to information. The paper discusses our approach to conceptualizing museum content and its creation as audio objects in order to satisfy the requirements of the ec(h)o system. This includes, the conceptualizing of information relevant to an existing exhibition design (an exhibition from the Canadian Museum of Nature in Ottawa). We will discuss the process of acquiring, designing and developing information relevant to the exhibition and its mapping to the requirements of adaptive information retrieval and the interaction model. The development of the audio objects is based on an audio display model that addresses issues of psychoacoustics, composition and cognition. The paper will outline the challenges and identify the limitations of our approach.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.001 |
| 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