Human Centered Explainability for Intelligent Vehicles – A User Study

Author:

Graefe Julia1,Paden Selma2,Engelhardt Doreen3,Bengler Klaus1

Affiliation:

1. Technical University of Munich, Germany

2. University of Applied Sciences Merseburg, Germany

3. AUDI AG, Germany

Publisher

ACM

Reference33 articles.

1. Trends and Trajectories for Explainable, Accountable and Intelligible Systems

2. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)

3. Guidelines for Human-AI Interaction

4. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

5. Ashok Chandrashekar , Fernando Amat , Justin Basilico , and Tony Jebara . 2017 . Artwork Personalization at Netflix (2017) . Retrieved February 22, 2022 from https://​netflixtechblog.com​/​artwork-personalization-c589f074ad76. Ashok Chandrashekar, Fernando Amat, Justin Basilico, and Tony Jebara. 2017. Artwork Personalization at Netflix (2017). Retrieved February 22, 2022 from https://​netflixtechblog.com​/​artwork-personalization-c589f074ad76.

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1. TimelyTale: A Multimodal Dataset Approach to Assessing Passengers' Explanation Demands in Highly Automated Vehicles;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-08-22

2. Enhancing the Multi-User Experience in Fully Autonomous Vehicles Through Explainable AI Voice Agents;International Journal of Human–Computer Interaction;2024-07-29

3. Human‐centered explainable artificial intelligence: An Annual Review of Information Science and Technology (ARIST) paper;Journal of the Association for Information Science and Technology;2024-03-24

4. What and When to Explain?;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2023-09-27

5. The Impact of Explanation Detail in Advanced Driver Assistance Systems: User Experience, Acceptance, and Age-Related Effects;Mensch und Computer 2023;2023-09-03

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