Human factors in developing automated vehicles: A requirements engineering perspective
Journal article, 2023

Automated Vehicle (AV) technology has evolved significantly both in complexity and impact and is expected to ultimately change urban transportation. Due to this evolution, the development of AVs challenges the current state of automotive engineering practice, as automotive companies increasingly include agile ways of working in their plan-driven systems engineering—or even transition completely to scaled-agile approaches. However, it is unclear how knowledge about human factors (HF) and technological knowledge related to the development of AVs can be brought together in a way that effectively supports today's rapid release cycles and agile development approaches. Based on semi-structured interviews with ten experts from industry and two experts from academia, this qualitative, exploratory case study investigates the relationship between HF and AV development. The study reveals relevant properties of agile system development and HF, as well as the implications of these properties for integrating agile work, HF, and requirements engineering. According to the findings, which were evaluated in a workshop with experts from academia and industry, a culture that values HF knowledge in engineering is key. These results promise to improve the integration of HF knowledge into agile development as well as to facilitate HF research impact and time to market.

Human factors

Agile

Requirements engineering

Automated vehicles

Author

Amna Pir Muhammad

University of Gothenburg

Eric Knauss

University of Gothenburg

Jonas Bärgman

Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Safety

Journal of Systems and Software

0164-1212 (ISSN)

Vol. 205 111810

Supporting the interaction of Humans and Automated vehicles: Preparing for the Environment of Tomorrow (Shape-IT)

European Commission (EC) (EC/H2020/860410), 2019-10-01 -- 2023-09-30.

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Software Engineering

Vehicle Engineering

DOI

10.1016/j.jss.2023.111810

Related datasets

Supporting Data for Human Factors in Developing Automated Vehicles : A Requirements Engineering Perspective [dataset]

DOI: 10.5281/zenodo.6778382

More information

Latest update

10/26/2023