Building Blocks of Responsibility - A Conceptual Model Illustrating the Factors Influencing Perceived Responsibility Over the Driving Task when Interacting with Driving Automation Systems
Paper in proceeding, 2022

Pending the race towards fully automated drive, vehicles offering several levels of automation are a prevalent scenario, as many road types, traffic and weather conditions will not allow fully automated drive. Instead, fragmented trips with regard to automation will prevail, where drivers will have different levels of automation available at different times. Given this scenario and the complexity of vehicles offering multiple levels of automation with different driving modes depending on prevailing conditions, the need for drivers to understand their responsibility during the different modes becomes critical. During an on-road Wizard-of-Oz driving study under real driving conditions, 20 participants were confronted with a vehicle offering both a level 2 and a level 4 driving automation system. Based on the conducted interviews a conceptual model outlining the different blocks constituting the drivers' perceived responsibility over the driving task was developed. This model can be used as a support in designing and developing driving automation systems and a clear system design which aids drivers understanding of their responsibility during the interaction with an automated vehicle.

levels of automation

conceptual model

user research

on-road study

responsibility

driving automation

Author

Linnéa Lidander

E-Health Company

Fjolle Novakazi

Volvo

Chalmers, Industrial and Materials Science

Gustav Erhardsson

Nexer Tech Talent

Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022

137-140
9781450394284 (ISBN)

14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
Seoul, South Korea,

Semi-autonomous driving and its effect on mode-awareness and user experience

VINNOVA (2017-01946), 2017-10-02 -- 2021-12-31.

Areas of Advance

Information and Communication Technology

Transport

Subject Categories

Infrastructure Engineering

Applied Psychology

Vehicle Engineering

Driving Forces

Innovation and entrepreneurship

DOI

10.1145/3544999.3552524

More information

Latest update

1/3/2024 9