Perceptions of Temporal Synchrony in Multimodal Displays
Bibliographic record
Abstract
Current multimodal interfaces make use of several intra-modal perceptual judgements that help users “directly perceive” information. These judgements help users organize and group information with little cognitive effort. Cross-modal perceptual relationships are much less commonly used in multimodal interfaces, but could also provide processing advantages for grouping and understanding data across different modalities. In this paper we examine whether individuals are able to directly perceive cross-modal auditory and tactile temporal rate synchrony events. If direct perception is possible, then we would expect that individuals would be able to correctly make these judgements with very little cognitive effort. Our results indicate that individuals have difficulty identifying when the temporal rates of auditory and tactile stimuli in a monitoring task are synchronous. Changes in workload, manipulated using a secondary visual task, resulted in changes in performance in the temporal synchrony task. We concluded that temporal rate synchrony is not a perceptual relationship that allows for direct perception, but further investigation of cross-modal perceptual relationships is required.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".