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Dictating and editing short texts while driving: distraction and task completion

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Dictating and editing short texts while driving: distraction and task completion

Content Provider	ACM Digital Library
Author	Thyme-Gobbel, Ann Macek, Tomáš Kleindienst, Jan Quast, Holger Labský, Martin König, Lars Cuřín, Jan Young, Hoi
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.
Starting Page	13
Ending Page	20
Page Count	8
File Format	PDF
ISBN	9781450312318
DOI	10.1145/2381416.2381418
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-11-30
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Driving distraction Lane change test Speech recognition Automotive dictation and messaging
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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