HCI in VANET IR-CAS: Multimodal Interface for VANET Context Aware IR Systems
Pages 51 - 58
Abstract
We propose VANET IR-CAS visual-manual and speech-visual dual-mode interface. It improves safety by reducing eye-off road time; compared to two other designs, it has the least eye off road time with < 2 seconds longest eye off road glance. It highly increases convenience and speed of option selection by using large image icons aligned to screen borders or pinned to corners which facilitates options blind selection useful in emergencies or under risky conditions; 95% of usability tests users successfully selected interface options blindly. The speech-visual version proved to be the least distracting with an average of 0.4 seconds longest eye off road glance which is at least five times faster than the second fastest design; the IR-CAS visual-manual version. The interface options adapt to user profiles. Users visually view received services matching their interest and context ordered by relevance. It provides fast access to the continuously updated congestion/crash notifications.
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Index Terms
- HCI in VANET IR-CAS: Multimodal Interface for VANET Context Aware IR Systems
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Published In
November 2015
124 pages
ISBN:9781450337601
DOI:10.1145/2815347
- General Chair:
- Robson E. De Grande,
- Program Chairs:
- Mirela S.M.A. Notare,
- Amir Darehshoorzadeh
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Published: 02 November 2015
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MSWiM'15: 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
November 2 - 6, 2015
Cancun, Mexico
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