activity
20162023
most citedOn the Forces of Driver Distraction: Explainable Predictions for the Visual Demand of In-Vehicle Touchscreen Interactions

54 citations · 299 across the 34 of their papers we have counts for

collaborators
Showing 2021Show all

12 papers · 1 filter

cs.SE2021★ 12 cited

Causality in Requirements Artifacts: Prevalence, Detection, and Impact

Julian Frattini, Jannik Fischbach, Daniel Mendez +3

Background: Causal relations in natural language (NL) requirements convey strong, semantic information. Automatically extracting such causal information enables multiple use cases,…

cs.SE2021

How Do Practitioners Interpret Conditionals in Requirements?

Jannik Fischbach, Julian Frattini, Daniel Mendez +3

Context: Conditional statements like "If A and B then C" are core elements for describing software requirements. However, there are many ways to express such conditionals in natura…

cs.SE2021

Semi-Automated Labeling of Requirement Datasets for Relation Extraction

Jeremias Bohn, Jannik Fischbach, Martin Schmitt +2

Creating datasets manually by human annotators is a laborious task that can lead to biased and inhomogeneous labels. We propose a flexible, semi-automatic framework for labeling da…

cs.HC2021★ 2 cited

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…

cs.SE2021

Cases for Explainable Software Systems:Characteristics and Examples

Mersedeh Sadeghi, Verena Klös, Andreas Vogelsang

The need for systems to explain behavior to users has become more evident with the rise of complex technology like machine learning or self-adaptation. In general, the need for an…

cs.HC2021★ 16 cited

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…