A prerequisite to foster proliferation of automated driving is common system acceptance. However, different users groups (novice, enthusiasts) decline automation, which could be, in turn, problematic for a successful market launch. We see a feasible solution in the combination of the advantages of manual (autonomy) and automated (increased safety) driving. Hence, we’ve developed the Hotzenplotz interface, combining possibility-driven design with psychological user needs.
A simulator study (N=30) was carried-out to assess user experience with subjective criteria (Need Scale, PANAS/-X, HEMA, AttrakDiff) and quantitative measures (driving behavior , HR/HRV) in different conditions. Our results confirm that pure AD is significantly less able to satisfy user needs compared to manual driving and make people feeling bored/out of control. Driving Hotzenplotz further led to significantly more positive affect than AD.
Our implication is that drivers should be provided with different control options to secure acceptance and avoid deskilling.
My part in the project
I came up with the original idea in this academic project as part of my dissertation.
I was responsible for the study design and the methodological setup which was inspired by my DAUX Framework.
I conducted the study and analyzed the qualitative and quantitative data.
I was the leading author of the related publications.
I created the video.
Frison, A. K., Wintersberger, P., Riener, A., & Schartmüller, C. (2017, September). Driving Hotzenplotz: A Hybrid Interface for Vehicle Control Aiming to Maximize Pleasure in Highway Driving. In Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 236-244). ACM.
Frison, A. K., Wintersberger, P., Riener, A., & Schartmüller, C. (2017, September). Driving Hotzenplotz!: A Vehicle Interface that Fosters the Joy of Driving. In Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct (pp. 247-248). ACM.