Development of human factors guidelines for advanced traveler information systems and commercial vehicle operations : Exploring driver acceptance of in-vehicle information systems Kantowitz, BH et al
Publication details: McLean, VA Federal Highway Administration. Office of Safety and Traffic Operations R&D, 1997; Battelle Seattle Research Center, Description: 1 CD, 356 s. CDSubject(s): Bibl.nr: VTI 2004.0494Location: Abstract: This document is part of an integrated program to develop human factors guidelines for advanced in-vehicle information systems. This document provides both an analytic and empirical determination of the human factors issues specific to user acceptance of Advanced Traveler Information Systems (ATIS) and Commercial Vehicle Operation (CVO) systems. Previous research indicates that Automatic Teller Machine technology has not enjoyed widespread acceptance. Two questionnaire-based experiments identified features that drivers find desirable for ATIS systems. The use of a model-based approach for determining drivers' preferred features was also used with success. An experiment using a route guidance simulation that presented real-time video of on-the-road driving scenes, and a map used for route selection and the purchase of traffic information showed that drivers accepted the ATIS information even when only 77 percent accurate. An experiment that addressed CVO function acceptance provides tentative recommendations for the introduction of ATIS systems into commercial vehicles.Current library | Call number | Status | Date due | Barcode | |
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Statens väg- och transportforskningsinstitut | Available |
This document is part of an integrated program to develop human factors guidelines for advanced in-vehicle information systems. This document provides both an analytic and empirical determination of the human factors issues specific to user acceptance of Advanced Traveler Information Systems (ATIS) and Commercial Vehicle Operation (CVO) systems. Previous research indicates that Automatic Teller Machine technology has not enjoyed widespread acceptance. Two questionnaire-based experiments identified features that drivers find desirable for ATIS systems. The use of a model-based approach for determining drivers' preferred features was also used with success. An experiment using a route guidance simulation that presented real-time video of on-the-road driving scenes, and a map used for route selection and the purchase of traffic information showed that drivers accepted the ATIS information even when only 77 percent accurate. An experiment that addressed CVO function acceptance provides tentative recommendations for the introduction of ATIS systems into commercial vehicles.