Evaluation of the Seating Environment of an Autonomous Taxi on User Needs – An Online Survey Investigation
Abstract
In the UNICARagil project, funded by the German Federal Ministry of Education and Research, four modular autonomous vehicle concepts are de-veloped. The paper deals with an autonomous taxi designed for ride sharing and non-driving tasks and activities. An online-based survey is conducted to evaluate integrated components and features of the seating environment under different conditions of use. The expectations, preferences and wishes of 181 survey par-ticipants are compared with the aspects and features to be offered in the auto-TAXI. The results show that using the equipment elements of the seating envi-ronment depends on various influencing factors such as trip duration, type of trip, privacy and activity. In general, users' expectations of the autoTAXI's equipment elements are met.
Keywords: Non Driving Related Tasks and Activities, Autonomous Vehicles, User Needs
DOI: 10.54941/ahfe1002439
Cite this paper
More from this volume
- When cycling again - Comparison of safety behaviors of between cyclists of shared, private and public bike in China
- SafeBike - a road safety programme for young adolescent cyclists
- Digitizing Buttons: A Comparison of Digital Input Modalities to Replace Physical Buttons in Truck Cockpits
- The Effects of Multi-modal Takeover Request on Distracted Drivers’ Takeover Performance and Perception
- Confidence Horizon for a Dynamic Balance between Drivers and Vehicle Automation: First Sketch and Application
- Meeting User Needs in Vehicle Automation
- Identifying Lane Changes Automatically using the GPS Sensors of Portable Devices
- Driving simulator study for the effects of autonomous vehicles on drivers behaviour under car-following conditions
- Overall effects of non-driving related activities’ characteristics on takeover performance in the context of SAE Level 3: A meta-analysis
- Development of empathic autonomous vehicles through understanding the passenger’s emotional state
- Detection of Discomfort in Autonomous Driving via Stochastic Approximation
- The public requirements on interior facilities of highly automated vehicles in China


AHFE Open Access