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Human-Centered Explainability for Intelligent Vehicles - A User Study.

, , , and . Int. J. Hum. Comput. Interact., 39 (16): 3237-3253 (October 2023)

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Human-Centered Explainability for Intelligent Vehicles - A User Study., , , and . Int. J. Hum. Comput. Interact., 39 (16): 3237-3253 (October 2023)Unleashing Positive User Experiences (PUX) in the Car: Systematic Ideation of Relevant Use Cases for Novel Technologies through the Inspiration Matrix: Applying a new method to identify relevant use cases for PUX in the vehicle interior for the exemplary novel ProTable projection technology., , , , and . AutomotiveUI (Adjunct Proceedings), page 260-263. ACM, (2023)What does Well-Designed Adaptivity Mean for Drivers? A Research Approach to Develop Recommendations for Adaptive In-Vehicle User Interfaces that are Understandable, Transparent and Controllable., , and . AutomotiveUI (adjunct), page 43-46. ACM, (2021)Evaluating the Potential of Interactivity in Explanations for User-Adaptive In-Vehicle Systems - Insights from a Real-World Driving Study., , , , and . HCI (51), volume 14057 of Lecture Notes in Computer Science, page 294-312. Springer, (2023)Artificial Intelligence for Adaptive, Responsive, and Level-Compliant Interaction in the Vehicle of the Future (KARLI)., , , , , , , , , and 16 other author(s). HCI (40), volume 1583 of Communications in Computer and Information Science, page 164-171. Springer, (2022)Adaptive User Experience in the Car - Levels of Adaptivity and Adaptive HMI Design., , and . IEEE Trans. Intell. Transp. Syst., 23 (5): 4866-4876 (2022)How Well Does the Algorithm Know Me? - A Structured Application of the Levels of Adaptive Sensitive Responses (LASR) on Technical Products., , , and . HCI (22), volume 13323 of Lecture Notes in Computer Science, page 311-336. Springer, (2022)Human Centered Explainability for Intelligent Vehicles - A User Study., , , and . UI, page 297-306. ACM, (2022)