The Future of In-Car Applications: How can Data &amp; AI personalize the User Experience?

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The Future of In-Car Applications: How can Data & AI personalize the User Experience?

Conference Paper (2025)

Author(s)

Marco Wiedner (ETH Zürich, Dr. Ing. h.c. F. Porsche AG)

Kratky Dominik (Porsche Engineering Services GmbH)

E.Y. Kim (TU Delft - DesIgning Value in Ecosystems)

Emilio Frazzoli (ETH Zürich)

Research Group

DesIgning Value in Ecosystems

DOI related publication

https://doi.org/10.1145/3744335.3749139

Artificial Intelligence User Experience Personalization Edge AI Automotive User Interfaces In-Car Applications Context-Aware Computing Driver Behavior Modeling

To reference this document use:

https://resolver.tudelft.nl/uuid:7da74cba-aa7e-4b70-8d37-fad311675bf1

More Info

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Publication Year

2025

Language

English

Research Group

DesIgning Value in Ecosystems

Bibliographical Note

Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en

Pages (from-to)

310-313

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

As in-car applications evolve, the potential to personalize the user experience through data and AI is becoming a key focus in automotive research. This workshop will explore how real-time data from sensors, user preferences, and behavioral insights can be leveraged to create individual in-car experiences. Current trends in AI-driven personalization, including voice assistants, adaptive interfaces, and predictive algorithms, will be discussed. Participants will dive into challenges such as privacy, data security, and user acceptance, while also exploring new possibilities for enhancing the in-car experience. Through interactive discussions and hands-on case studies, this workshop aims to uncover innovative ways to use data and AI to enrich automotive user interfaces.

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File under embargo until 08-04-2026