Practical Experiences in Measuring and Modeling Drivers Driver-Vehicle Interactions (Summary Article)

Andreas Riener, Ignacio Alvarez, Myounghoon Jeon, Wendy Ju, Bastian Pfleging, Mario Chiesa, Lewis Chuang

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

The search term “driver-vehicle interaction study” results in 2,690 Google Scholar hits of research papers published in the past 5 years (2010-2015). This huge number clearly points out the problem that researchers (particularly, new to this field) are exposed to, namely that many decisions regarding the setting, (e.g., lab/field, low-/high-fidelity simulator, within/between subjects, sample size, biased subject, learning effect, sensor technology, mobile hardware, synchronization issues, briefing, etc.) have to be established early in the design phase without the reference of principled guidelines and best practices to support them in identifying the optimal solution to answer their research question of interest. This workshop invites a) people active in the field to share their experiences in executing studies to measure driver behavior or vehicle conditions (driver-vehicle interactions), and b) young researchers to draft research questions, present their problems, and discuss possible solutions with the other participants.
Original languageEnglish
Title of host publication7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI'15), September 1-3, Nottingham, UK
Number of pages4
Publication statusPublished - Sept 2015

Fields of science

  • 102 Computer Sciences
  • 102009 Computer simulation
  • 102013 Human-computer interaction
  • 102019 Machine learning
  • 102021 Pervasive computing
  • 102022 Software development

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Engineering and Natural Sciences (in general)

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