Dictating and Editing Short Texts while Driving

ADVANCES IN HUMAN ASPECTS OF ROAD AND RAIL TRANSPORTATION(2013)

引用 5|浏览10
暂无评分
摘要
Although several existing in car systems support dictation, there is none, which would systematically address dictation and error correction for automotive environment. Dictation and correction systems available for desktop and mobile are not suitable for the car environment where safety is the crucial aspect. This paper presents a multi-modal automotive dictation editor (codenamed ECOR), designed as a test-bed for evaluation of numerous error correction techniques. Results are presented both for a standard use of the application as well as for the case when a particular type of correction is enforced. Reported results are obtained on native US-English speakers using the system while driving a standard lane-change-test (LCT) low fidelity car simulator. The dictation editor was tested in several modes including operations without any display, with a display showing the full edited text, and with limited view of just the "active" part of the dictated text. The measured results are compared to SMS dictation using a cell phone and to destination entry using a GPS unit. The results indicate that the eyes-free version keeps the distraction level acceptable while achieving good task completion rate. Both multi-modal versions caused more distraction than the eyes-free version and were comparable to the GPS entry task. By far, the cell phone texting task was the most distracting one. Text composition speed using dictation was faster than cell phone typing.
更多
查看译文
关键词
voice,speech recognition,multi-modal,automotive systems,user interface,error correction
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要