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Driving Hotzenplotz: A Hybrid Interface for Vehicle Control Aiming to Maximize Pleasure in Highway Driving

  • Anna-Katharina Frison
  • , Philipp Wintersberger
  • , Andreas Riener
  • , Clemens Schartmüller

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

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. In contrast, the Hotzenplotz interface has proven to reduce the negative effects of AD. Our implication is that drivers should be provided with different control options to secure acceptance and avoid deskilling.
OriginalspracheEnglisch
TitelAutomotiveUI '17 Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
ErscheinungsortNew York
VerlagACM DL
Seiten236-244
Seitenumfang9
ISBN (elektronisch)9781450351508
DOIs
PublikationsstatusVeröffentlicht - 24 Sep. 2017

Wissenschaftszweige

  • 102 Informatik
  • 102009 Computersimulation
  • 102013 Human-Computer Interaction
  • 102019 Machine Learning
  • 102021 Pervasive Computing
  • 102022 Softwareentwicklung
  • 102025 Verteilte Systeme

JKU-Schwerpunkte

  • Computation in Informatics and Mathematics
  • TNF Allgemein

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