39 citations · 125 across the 23 of their papers we have counts for
5 papers · 1 filter
Exploring Millions of User Interactions with ICEBOAT: Big Data Analytics for Automotive User Interfaces
Patrick Ebel, Kim Julian Gülle, Christoph Lingenfelder +1
User Experience (UX) professionals need to be able to analyze large amounts of usage data on their own to make evidence-based design decisions. However, the design process for In-V…
Multitasking while Driving: How Drivers Self-Regulate their Interaction with In-Vehicle Touchscreens in Automated Driving
Patrick Ebel, Christoph Lingenfelder, Andreas Vogelsang
Driver assistance systems are designed to increase comfort and safety by automating parts of the driving task. At the same time, modern in-vehicle information systems with large to…
Measuring Interaction-based Secondary Task Load: A Large-Scale Approach using Real-World Driving Data
Patrick Ebel, Christoph Lingenfelder, Andreas Vogelsang
Center touchscreens are the main HMI (Human-Machine Interface) between the driver and the vehicle. They are becoming, larger, increasingly complex and replace functions that could…
Visualizing Event Sequence Data for User Behavior Evaluation of In-Vehicle Information Systems
Patrick Ebel, Christoph Lingenfelder, Andreas Vogelsang
With modern IVIS becoming more capable and complex than ever, their evaluation becomes increasingly difficult. The analysis of large amounts of user behavior data can help to cope…
The Role and Potentials of Field User Interaction Data in the Automotive UX Development Lifecycle: An Industry Perspective
Patrick Ebel, Florian Brokhausen, Andreas Vogelsang
We are interested in the role of field user interaction data in the development of IVIS, the potentials practitioners see in analyzing this data, the concerns they share, and how t…