The design and formative evaluation of nonspeech auditory feedback for an information system
Bibliographic record
Abstract
This research describes a user‐centered design method for creating nonspeech auditory feedback to enhance information interactions with a visual information system. It involves 2 studies. In the first, a user‐centered sound design method is used, based on one originally applied for visually impaired users. Three panels of end users are employed to collaboratively and iteratively design the required nonspeech sounds. The method ensures that the sounds designed are not based on designers' personal or ad hoc choices and instead exploits the creativity of a user group as an application of participatory sound design. Based on the results of this study, recommendations are made for extending the sound design method to novel interfaces and sighted users. A second study involves a formative evaluation of the information system integrated with the designed auditory feedback. This evaluation confirms that the user‐centered sound design method leads to the creation of auditory feedback which conveys meaningful information to users.
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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 | 0.005 | 0.013 |
| 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 | 0.007 |
| 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".