Adaptive User Experience and Empathetic HMI Concepts
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aptive User Experience and Empathetic HMI Concepts Automated driving renders the issue of user experience in the interior increasingly important – both for the driver and the passengers. A distinctive feature for the user experience in the competitive field is the correctly adjusted adaptivity of the assistance and HMI systems. Therefore, Audi developed a standard describing the levels of adaptive, sensitive responses.
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A U T H OR S
Dr. phil. Dipl.-Psych. Lena Rittger is Employee in the Area Development Innovations for User Interface/User Experience at Audi AG in Ingolstadt (Germany).
Dipl.-Med.-Wiss. Doreen Engelhardt is Employee in the Area Development Innovations for User Interface/User Experience at Audi AG in Ingolstadt (Germany).
Dipl.-Ing. Oliver Stauch is Manager in the Area Requirements Management for User Interface/User Experience at Audi AG in Ingolstadt (Germany).
Ivo Muth, M. Sc. is Head of User Interface/User Experience at Audi AG in Ingolstadt (Germany).
© Audi
IDENTIF YING HUMAN NEEDS
ATZ worldwide 11|2020
The user experience is becoming increasingly important in the passenger car. At the same time, the number of functions to be operated in the vehicle is constantly growing. This calls for new concepts to assist drivers in their numerous interactions with the system in the everyday operation. Technical progress in the fields of sensor systems and Artificial Intelligence (AI) is helping with these goals through the identification of human states and
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C OVER STORY Interior
needs. To solve the new challenges, Audi focuses on the adaptivity and intelligence of functions and on the Human-machine Interface (HMI). At CES 2020 in Las Vegas (USA), Audi displayed elements of an intelligent and adaptive user experience in a first vision vehicle. The experimental demonstrator, FIGURE 1, showcased the elements light, sound, air conditioning system, fragrance, and seat massage. WHAT IS ADAPTIVIT Y IN THE VEHICLE?
In a meta-analysis, Völkel, Schneegass, Eiband and Buschek [1] showed that intelligence for technical systems in the literature involves the two components adaptivity and automation. Parasuraman and Riley [2] defined automation as the execution by a machine of a function previously executed by a human. Duley and Parasuraman [3] interpreted adaptivity as context sensitivity with the implication that the system presents only the information that is important for the current situation. Using this information as a basis, Audi defines the term adaptivity in its concept development as “the adaptation of customer functions to users and their current experience and/or situation by interpreting detectable parameters to improve the customer experience.” The detectable parameters depend on the existing sensor systems and the interfaces to external devices. Examples include the traffic situation around the vehicle, the situation inside the vehicle, the usage history, the current activation state of functions, or the driver’s condition. The improvement of the user experience is realized in
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