TY  - CONF
A1  - Gelau, Christhard
A1  - Jahn, Georg
A1  - Krems, Josef F.
A1  - Hiroshi, Uno
A1  - Kircher, Albert
A1  - Östlund, Joakim
A1  - Nilsson, Lena
T1  - State-of-the-art of the SNRA/JARI/BASt joint research on driver workload measurement within the framework of HRA-ITS
N2  - The Swedish National Road Administration (SNRA), the Japanese Automobile Research Institute (JARI) and the Federal Highway Research Institute (BASt) are co-operating in the International Harmonized Research Activities on Intelligent Transportation Systems (IHRA-ITS). Under this umbrella a joint study was conducted. The overall objective of this study was to contribute to the definition and validation of a "battery of tools" which enables a prediction and an assessment of changes in driver workload due to the use of in-vehicle information systems (IVIS) while driving. In this sense \"validation\" means to produce empirical evidence from which it can be concluded that these methods reliably discriminate between IVIS which differ in terms of relevant features of the HMI-design. Additionally these methods should also be sensitive to the task demands imposed on the driver by the traffic situation and their interactions with HMI-design. To achieve these goals experimental validation studies (on-road and in the simulator) were performed in Sweden, Germany and Japan. As a common element these studies focused on the secondary task methodology as an approach to the study of driver workload. In a joint German-Swedish on-road study the Peripheral Detection Task (PDT) was assessed with respect to its sensitivity to the complexity of traffic situations and effects of different types of navigation systems. Results show that the PDT performance of both the German and the Swedish subjects reflects the task demands of the traffic situations better than those of the IVIS. However, alternative explanations are possible which will be examined by further analyses. Results of this study are supplemented by the Japanese study where informational demands induced by various traffic situations were analysed by using a simple arithmetic task as a secondary task. Results of this study show that relatively large task demands can be expected even from simple traffic situations.
KW  - Fahrer
KW  - Fahrerassistenzsystem
KW  - Fahrerinformation
KW  - Fahrzeuginnenraum
KW  - Intelligentes Transportsystem
KW  - Konferenz
KW  - Prüfverfahren
KW  - Schnittstelle
KW  - Simulation
KW  - Standardisierung
KW  - Stress (psychol)
KW  - Verkehr
KW  - Conference
KW  - Driver
KW  - Driver assistance system
KW  - Driver information
KW  - Intelligent transport system
KW  - Interface
KW  - Interior (veh)
KW  - Simulation
KW  - Standardization
KW  - Stress (psychol)
KW  - Test method
KW  - Traffic
Y1  - 2003
UR  - https://bast.opus.hbz-nrw.de/frontdoor/index/index/docId/767
N1  - Volltext: http://www-nrd.nhtsa.dot.gov/pdf/esv/esv18/CD/Files/18ESV-000242.pdf.
Außerdem beteiligt: Japanese Automotive Research Administration, Swedish National Road and Transport Research Institute
ER  -