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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)I Drive My Car and My States Drive Me: Visualizing Driver's Emotional and Physical States., , , , , , and . AutomotiveUI (adjunct), page 198-203. ACM, (2018)Go Ahead, Please! - Evaluation of External Human - Machine Interfaces in a Real-World Crossing Scenario., , , , , , and . Frontiers Comput. Sci., (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)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)