DISTRACTION POTENTIAL OF SPEECH-BASED DRIVER INTERFACES (ABSTRACT ONLY)
A common assumption concerning speech-based interaction with an in-vehicle information system is that the speech-based interaction does not distract the driver, because the driver is not required to take his eyes off the road. This assumption does not take into consideration the cognitive demand placed on the driver. This cognitive demand may be highly dependent upon the nature of the interaction and may increase when errors occur in the interchange between the driver and the speech-based system. When the automatic speech recognition system makes an error, the driver must first recognize that an error has been made, determine how to recover from the error, trace back to the previous menu, and repeat the command to get the desired result. These additional steps and the error recovery process may place significant cognitive demands on the driver. Understanding how these errors and the recovery process affects driver attention to the road is a critical design consideration for speech-based interaction with in-vehicle information systems. This paper describes an initial experiment to address this issue and provides a theoretical framework to help identify the requirements of a speech-interface needed to support easy error recovery. Because speech interactions will always be subject to human and system error, understanding how to support the robust interaction is critical in minimizing driver distraction.
- Record URL:
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Corporate Authors:
University of Iowa, Iowa City
Public Policy Center
227 South Quadrangle
Iowa City, IA United States 52242-1192 -
Authors:
- Lee, J D
- SCHMIDT, K
- BRAL, T
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Conference:
- Driving Assessment 2001: The First International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design
- Location: Aspen, Colorado
- Date: 2001-8-14 to 2001-8-17
- Publication Date: 2001
Language
- English
Media Info
- Pagination: p. 20
Subject/Index Terms
- TRT Terms: Attention; Cognitive impairment; Distraction; Driver information systems; Driver vehicle interfaces; Drivers; Errors; Human machine systems; Performance; Speech recognition
- Uncontrolled Terms: Error recovery
- Subject Areas: Highways; Safety and Human Factors; I83: Accidents and the Human Factor;
Filing Info
- Accession Number: 00921564
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 21 2002 12:00AM