From HMI to HMIs: Towards an HMI Framework for Automated Driving
1
Chair of Ergonomics, Technical University of Munich, Boltzmannstr. 15, 85748 Garching, Germany
2
Robert Bosch GmbH, Corporate Research, Robert-Bosch-Campus 1, 71272 Renningen, Germany
*
Author to whom correspondence should be addressed.
Information 2020, 11(2), 61; https://doi.org/10.3390/info11020061
Received: 15 December 2019 / Revised: 10 January 2020 / Accepted: 20 January 2020 / Published: 25 January 2020
(This article belongs to the Special Issue Automotive User Interfaces and Interactions in Automated Driving)
During automated driving, there is a need for interaction between the automated vehicle (AV) and the passengers inside the vehicle and between the AV and the surrounding road users outside of the car. For this purpose, different types of human machine interfaces (HMIs) are implemented. This paper introduces an HMI framework and describes the different HMI types and the factors influencing their selection and content. The relationship between these HMI types and their influencing factors is also presented in the framework. Moreover, the interrelations of the HMI types are analyzed. Furthermore, we describe how the framework can be used in academia and industry to coordinate research and development activities. With the help of the HMI framework, we identify research gaps in the field of HMI for automated driving to be explored in the future.
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Keywords:
human machine interface; framework; automated vehicles; communication
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MDPI and ACS Style
Bengler, K.; Rettenmaier, M.; Fritz, N.; Feierle, A. From HMI to HMIs: Towards an HMI Framework for Automated Driving. Information 2020, 11, 61. https://doi.org/10.3390/info11020061
AMA Style
Bengler K, Rettenmaier M, Fritz N, Feierle A. From HMI to HMIs: Towards an HMI Framework for Automated Driving. Information. 2020; 11(2):61. https://doi.org/10.3390/info11020061
Chicago/Turabian StyleBengler, Klaus; Rettenmaier, Michael; Fritz, Nicole; Feierle, Alexander. 2020. "From HMI to HMIs: Towards an HMI Framework for Automated Driving" Information 11, no. 2: 61. https://doi.org/10.3390/info11020061
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