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

Published: 17 September 2022 Publication History

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.

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Cited By

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  • (2024)How to Design Human-Vehicle Cooperation for Automated Driving: A Review of Use Cases, Concepts, and InterfacesMultimodal Technologies and Interaction10.3390/mti80300168:3(16)Online publication date: 26-Feb-2024
  • (2024)Move, Connect, Interact: Introducing a Design Space for Cross-Traffic InteractionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785808:3(1-40)Online publication date: 9-Sep-2024
  • (2023)Providing Explainability in Safety-Critical Automated Driving Situations through Augmented Reality Windshield HMIsAdjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3581961.3609874(174-179)Online publication date: 18-Sep-2023
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cover image ACM Conferences
AutomotiveUI '22: Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
September 2022
371 pages
ISBN:9781450394154
DOI:10.1145/3543174
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 17 September 2022

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  1. Confidence HMIs
  2. Cooperative Driving
  3. Explainable AI
  4. Predictability
  5. Transparency

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Cited By

View all
  • (2024)How to Design Human-Vehicle Cooperation for Automated Driving: A Review of Use Cases, Concepts, and InterfacesMultimodal Technologies and Interaction10.3390/mti80300168:3(16)Online publication date: 26-Feb-2024
  • (2024)Move, Connect, Interact: Introducing a Design Space for Cross-Traffic InteractionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785808:3(1-40)Online publication date: 9-Sep-2024
  • (2023)Providing Explainability in Safety-Critical Automated Driving Situations through Augmented Reality Windshield HMIsAdjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3581961.3609874(174-179)Online publication date: 18-Sep-2023
  • (2023)“Do You Want to Drive Together?” - A Use Case Analysis on Cooperative, Automated Driving.Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3581961.3609871(209-214)Online publication date: 18-Sep-2023

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