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

L. Nassar, Parmit K. Chilana, M. Kamel, F. Karray
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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.
VANET IR- cas中的HCI: VANET上下文感知IR系统的多模态接口
我们提出了VANET IR-CAS视觉-手动和语音-视觉双模式接口。它通过减少视线离开道路的时间来提高安全性;与其他两种设计相比,它的视线离开道路的时间最短,最长的视线离开道路的时间小于2秒。它通过使用与屏幕边框对齐或固定到角落的大图像图标,大大增加了选项选择的便利性和速度,这有助于在紧急情况下或在危险条件下进行选项盲选;95%的可用性测试用户成功地盲目选择了界面选项。语音视觉版本被证明是最不分散注意力的,眼睛离开道路的平均时间为0.4秒,比第二快的设计至少快5倍;IR-CAS目视手册版本。界面选项适应用户配置文件。用户可视地查看接收到的与他们的兴趣和上下文相匹配的服务,并按相关性排序。它提供了对不断更新的拥塞/崩溃通知的快速访问。
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