Abstract
In this paper, we present the results of an online survey (N = 170) on emotional situations on the road. In particular, we asked potential early adopters to remember a situation where they felt either an intense positive or negative emotion while driving. Our research is motivated by imminent disruptions in the automotive sector due to automated driving and the accompanying switch to selling driving experiences over horsepower. This creates a need to focus on the driver’s emotion when designing in-car interfaces. As a result of our research, we present a set of propositions for affective car interfaces based on real-life experiences. With our work we aim to support the design of affective car interfaces and give designers a foundation to build upon. We find respondents often connect positive emotions with enjoying their independence, while negative experiences are associated mostly with traffic behavior. Participants who experienced negative situations wished for better information management and a higher degree of automation. Drivers with positive emotions generally wanted to experience the situation more genuinely, for example, by switching to a “back-to-basic” mode. We explore these statements and discuss recommendations for the design of affective interfaces in future cars.
Highlights
Driving a current car requires the driver to perform multiple simultaneous activities like steering, braking and accelerating, and monitoring the road
Contribution Statement The contributions of this paper can be summarized as follows: Based on our online survey conducted in Europe and North America, we provide insights on (1) contextual triggers of emotions in the car and (2) on desires of drivers for future automotive HMI and (3) we generalize these findings to present design recommendations for affective user interfaces in future cars
The first part of our results describes actual experiences of drivers and the circumstances that led to an emotional situation
Summary
Driving a current car requires the driver to perform multiple simultaneous activities like steering, braking and accelerating, and monitoring the road. Drivers perform many optional non-driving-related activities, such as handsfree calling, programming the destination, or adjusting the radio. The number of tasks already suggests that this can be challenging for the driver due to an increased mental or physical workload. A proposed idea based on this is an in-vehicle system which understands the driver state and is able to model driver behavior [1] and adapt the in-vehicle systems based on the current requirements [2]. The driver state includes all physical and functional characteristics of the driver, such as mental workload, fatigue, level of distraction, and emotions [2].
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