Haptic controls in cars for making driving more safe
Bibliographic record
Abstract
Modern vehicles carry GPS, music systems, sunroofs and a number of other electronic gadgets. Interaction with these devices while driving often takes the driver's eyes ¿Off the road¿ and raises safety concerns. We are proposing a new design of haptic controls which uses `sense of touch'. A peculiar set of distinguishable haptic feedback which links to a corresponding device allows the user to operate these devices through `sense of touch' and eliminate the reliance on visual interaction. This design will help to reduce driver's distraction as it will be installed on the steering wheel which allows easy access. A simulation has been done using a haptic interface i.e. desktop phantom to test the system and a prototype has been developed which can be installed in any vehicle. This prototype has been tested to work with limited devices, further development and enhancements can be made to incorporate more devices and other user's preferences. The main Objective of the current research is to integrate variable functionalities in a robust manner which will focus on driver's safety by ensuring a constant vision on the road. The distinguishable haptic feedback will act as a unique identification for a single device and driver will be able to change the state of such device by recognizing the haptic feedback.
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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 | 0.000 | 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) | 0.005 | 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".