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“Can you rely on me?” Evaluating a Confidence HMI for Cooperative, Automated Driving

  • Jakob Benedikt Peintner
  • , Carina Manger
  • , Andreas Riener

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

First concepts for cooperative driving already illustrate the potential of the cooperation between human drivers and automated vehicles. However, the main influencing factors that determine an efficient and effective cooperation still need to be investigated. We therefore examined the effects of displaying the vehicle’s intended decision in a critical situation in combination with a confidence value. In a driving simulator study (N=49), the automated vehicle communicated uncertainty in predicting the behavior of a pedestrian and the participants could support the automation by entering their own decision to stop or drive through. The results show that the time until entering the own decision (system override) was longer when a pending system decision was indicated with a confidence value in the HMI. A low confidence value resulted in the longest interaction times. In addition, trust in automation and usability were lower compared to the baseline cooperative HMI without a confidence value.
OriginalspracheEnglisch
TitelAutomotiveUI '22: Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Seiten340-348
Seitenumfang9
ISBN (elektronisch)9781450394154
DOIs
PublikationsstatusVeröffentlicht - 17 Sep. 2022

Publikationsreihe

NameMain Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022

Wissenschaftszweige

  • 202017 Embedded Systems
  • 102 Informatik
  • 102009 Computersimulation
  • 102013 Human-Computer Interaction
  • 102019 Machine Learning
  • 102020 Medizinische Informatik
  • 102021 Pervasive Computing
  • 102022 Softwareentwicklung
  • 102025 Verteilte Systeme
  • 211902 Assistierende Technologien
  • 211912 Produktgestaltung

JKU-Schwerpunkte

  • Digital Transformation

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