Paper Info
Title
Dictating and editing short texts while driving: distraction and task completion
Abstract
This paper presents a multi-modal automotive dictation editor (codenamed ECOR) used to compose and correct text messages while driving. The goals are to keep driver's distraction minimal while achieving good task completion rates and times as well as acceptance by users. We report test results for a set of 28 native US-English speakers using the system while driving a standard lane-change-test (LCT) car simulator. The dictation editor was tested (1) without any display, (2) with a display showing the full edited text, and (3) with just the "active" part of text being shown. In all cases, the system provided extensive text-to-speech feedback in order to prevent the driver from having to look at the display. In addition, cell phone messaging and GPS destination entry were evaluated as reference tasks. The test subjects were instructed to send text messages containing prescribed semantic information, and were given a list of destinations for the GPS task. The levels of driver distraction (evaluated by car's deviation from an ideal track, reaction times, number of missed lane change signs, eye gaze information etc.) were compared between the 3 ECOR and the 2 reference tasks, and also to undistracted driving. Task completion was measured by the number and quality of messages sent out during a 4 minute LCT ride, and subjective feedback was collected via questionnaires. 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. For native speakers, the missing display for the eyes-free version did not impact quality of dictated text. By far, the cell phone texting task was the most distracting one. Text composition speed using dictation was faster than cell phone typing.
Year
DOI
Venue
2011
10.1145/2381416.2381418
AutomotiveUI
Keywords
Field
DocType
good task completion rate,text message,gps entry task,reference task,editing short text,eyes-free version,correct text message,task completion,full edited text,text composition speed,gps task,speech recognition
Distraction,Computer science,Simulation,Speech recognition,Semantic information,Human–computer interaction,Phone,Dictation,Eye tracking,Global Positioning System,Task completion
Conference
Citations 
PageRank 
References 
7
1.12
5
Authors
8
Name
Order
Citations
PageRank
Jan Cuřín1315.51
Martin Labský2236.77
Tomáš Macek3164.28
Jan Kleindienst422023.74
Hoi Young581.52
Ann Thyme-Gobbel681.52
Holger Quast7112.45
Lars König892.56