A formal model to handle the adaptability of multimodal user interfaces
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 propose an approach for checking adaptability property of multimodal User Interfaces (UIs) for systems used in dynamic environments like mobile phones and PDAs. The approach is based on a formal description of both the multimodal interaction and the property. The SMV model-checking formal technique is used for the verification process of the property. The approach is defined in two steps. First, the system is described using a formal model, and the property is specified using CTL (Computation Tree Logic) temporal logic. Then, we assume that an environment changes such that at most one modality of the system is disabled. For this propose, Disable is defined as a formal operator that disables a modality in the system. The property is checked by using the SMV (Symbolic Model Verifier) model-checker on all systems resulting from desabling a modality of the system. The approach reduces the complexity of the model-checking process and allows the verification at earlier stages of the development life cycle. We apply this approach on a mobile phone case study.
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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 | 0.001 | 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