How to support level-compliant driver behavior in automated driving with optimized User Experience?
Abstract
The research project KARLI is funded by the German Federal Ministry for Economic Affairs and Climate Action. Ensuring level-compliant driver behaviour in different SAE levels of automation is necessary for safe driving in automated vehicles. User Experience is considered relevant for user acceptance of those automated systems. In a qualitative study, 40 innovative ideas for interaction in automated driving were reflected in terms of User Experience. This was done by twelve individuals out of four different user groups – young people, frequent drivers with automation experience, people with children and people aged 65 and older. They evaluated the 40 ideas integrated in different concepts of automated driving, which were presented in user narratives. The evaluation was conducted across six UX facets (according to Engeln & Engeln, 2015): task (incl. interaction), self-expression, learnability, convenience of use, joy of use and aesthetics. The results provide important design insights for the development of interaction concepts for automated vehicles. Based on these findings, the interaction concepts to support level compliant driver behaviour were further elaborated and will be re-evaluated in an upcoming virtual reality experiment.
Keywords: User Experience, automated driving, level-compliant driver behaviour, user-centred development process
DOI: 10.54941/ahfe1005207
Cite this paper
More from this volume
- Scientific Evaluation of the Impact of an Increase in the Retirement Age on the Cognitive Functions and Well-Being of Air Traffic Controllers (ATCOs)
- Vigilant Air Traffic Control: Gaze-based Recognition of Detection Failures to Visual Warnings
- Hidden Dangers on the Flight Deck: A Stakeholder Analysis of the Issues Surrounding Commercial Pilot Mental Health
- Making Sense of Culture in the Cockpit: The Crash of Japan Airlines Flight 1045
- Remote Digital Tower to support Air Traffic Control Systems
- The Impact of Delayed Communication on NASA’s Human-Systems Operations: Preliminary Results of a Systematic Review
- The Challenges of the Implementation of Artificial Intelligence (AI) in Transportation.
- Should I board this Advanced Air Mobility vehicle? A systemic risk assessment of eVTOL in a vertiport
- Show the Way: Accelerating General Aviation Accident Investigations through LLMs and HFACS
- Patterning Risk: An Innovative Task Design Method for Simulating Incidents in Transportation Studies
- Reduction and Modification for Aero Engine Rotor Model Considering Contact Stiffness
- Improved One-Step Block Precise Integration Method For Rotor Nonlinear Response Calculation


AHFE Open Access