NDLI: HCI in VANET IR-CAS: Multimodal Interface for VANET Context Aware IR Systems

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HCI in VANET IR-CAS: Multimodal Interface for VANET Context Aware IR Systems

Content Provider	ACM Digital Library
Author	Kamel, Mohamed S. Karray, Fakhri Chilana, Parmit Nassar, Lobna
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.
Starting Page	51
Ending Page	58
Page Count	8
File Format	PDF
ISBN	9781450337601
DOI	10.1145/2815347.2830325
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-11-02
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Convenience services Context aware system Average distance measure Information retrieval Vanet Safety services
Content Type	Text
Resource Type	Article

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