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In this workshop, we invite researchers, designers, and practitioners to explore together how life-cycle thinking can contribute to the design of intelligent, sustainable mobility solutions. While current research primarily focuses on making the usage period of such solutions more sustainable, we aim to take a broader perspective by integrating sustainability from the earliest design stages through to the end of the vehicle’s life. Therefore, we will use speculative and critical design thinking to inspire and explore challenges as well as opportunities concerning sustainability at every stage of the life-cycle, from Design and Production to Usage, and End-Of-Life. Next, we will lead an ideation and prototyping session, followed by an interdisciplinary discussion reflecting on how intelligent technology can promote sustainable mobility. The outcomes will include potential design ideas and future research directions for incorporating life-cycle considerations into future mobility solutions.

Location and schedule

Time Description
09:00-09:15 Introduction of workshop topics. Introductions of organizers and participants.
09:15-09:30 Introduction to the life-cycle of a car.
09:30-10:15 Inspiration & exploration of challenges and opportunities for each life-cycle stage.
10:15-10:30 Coffee break
10:30-11:00 Ideation & prototyping sustainable solutions for each life-cycle stage
10:00-11:30 Group presentations and joint reflections
11:30-12:00 Wrap-up and discussion around future research opportunities

Organisers

Melanie Berger

iMes Solutions GmbH, Burghausen, Germany (melanie.berger@imes-solutions.com).

Melanie Berger leads the department of Innovation and Design at iMes Solutions GmbH. Her current research focuses on designing intelligent user interfaces for various stakeholders in the automotive industry.

Patrick Ebel

ScaDS.AI, Leipzig University, Leipzig, Germany.

Patrick Ebel leads the Junior Research Group at ScaDS.AI, Leipzig University. His research is positioned at the intersection of machine learning, human-computer interaction, and mobility, and focuses on the development of computational models that simulate human-like interaction behavior.

Ignacio Alvarez

Technische Hochschule Ingolstadt, Ingolstadt, Germany.

Ignacio Alvarez is Professor of Human-centered Intelligent Systems at the Technische Hochschule Ingolstadt and Principal Research Scientist at Intel Labs. His research focus is at the intersection of automotive systems, artificial intelligence, and human-computer interaction.

Andreas Riener

Technische Hochschule Ingolstadt, Ingolstadt, Germany.

Andreas Riener is a Professor for Human-Machine Interaction and VR at Technische Hochschule Ingolstadt with co-affiliation at the CARISSMA Institute of Automated Driving. His research interests include HF/ergonomics, adaptive UIs, driver state assessment, and trust/acceptance/ethics in mobility applications. Andreas is on the SC of ACM AutomotiveUI, chair of the German ACM SIGCHI chapter, and SC chair of ``Mensch und Computer’’ (the German CHI).

Shadan Sadeghian

University of Siegen, Siegen, Germany

Shadan Sadeghian is an Assistant Professor leading the Interactive Autonomous Systems group at the University of Siegen, Germany. Her research focuses on designing user experiences and interactions with automated systems, including robots, AI-driven systems, and automated vehicles. She explores approaches that balance pragmatic (performance-oriented) and hedonic (experience-oriented) qualities in interacting with automation. Since 2016, she has served in several chairing roles (e.g., general chair in 2021) and as a steering committee member in Automotive UI.

Philipp Wintersberger

IT:U Austria, Linz, Austria.

Philipp Wintersberger is a Full Professor of Intelligent User Interfaces at the Interdisciplinary Transformation University in Linz, Austria. His research addresses human-machine cooperation in safety-critical AI-driven systems. He is the founding chair of ACM SIGCHI Austria, and his research contributions have received several awards from venues such as ACM CHI, AutomotiveUI, and Interact.