Patrick Ebel

schoolLeipzig Universitybar_chart#2563 Global Rank

Total Papers

HCI Rank

#2563

Research Areas

Years Active

Recent Publications

Log2Motion: Biomechanical Motion Synthesis from Touch Logs

Touch data from mobile devices are collected at scale but reveal little about the interactions that produce them. While biomechanical simulations can illuminate motor control processes, they have not yet been developed for touch interactions. To close this gap, we propose a novel computational problem: synthesizing pl…

CHI '26CorrespondingV2X (Vehicle-to-Everything) Communication Design +5

GTA: Generative Traffic Agents for Simulating Realistic Mobility Behavior

People's transportation choices reflect complex trade-offs shaped by personal preferences, social norms, and technology acceptance. Predicting such behavior at scale is a critical challenge with major implications for urban planning and sustainable transport. Traditional methods use handcrafted assumptions and costly…

AUTO_UI '25CorrespondingEye Tracking & Gaze Interaction +2

Visual Sampling Behavior Does not Explain Risk Perception: A Data-Driven xAI Investigation

How do drivers perceive risk? Understanding what situations and factors cause drivers to perceive situations as critical can improve our understanding of road user behavior and inform automated driving technology. To investigate the factors that shape drivers’ risk perception, we conducted an eye-tracking study with 2…

AUTO_UI '241st AuthorResearch Ethics & Open Science

Changing Lanes Toward Open Science: Openness and Transparency in Automotive User Research

We review the state of open science and the perspectives on open data sharing within the automotive user research community. Openness and transparency are critical not only for judging the quality of empirical research, but also for accelerating scientific progress and promoting an inclusive scientific community. Howe…

AUTO_UI '24CorrespondingIn-Vehicle Haptic, Audio & Multimodal Feedback +2

Computational Models for In-Vehicle User Interface Design: A Systematic Literature Review

In this review, we analyze the current state of the art of computational models for in-vehicle User Interface (UI) design. Driver distraction, often caused by drivers performing Non Driving Related Tasks (NDRTs), is a major contributor to vehicle crashes. Accordingly, in-vehicle UI s must be evaluated for their distra…

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