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Bridging Worlds: Integrating Human Factors in Agile Automated Vehicle Development

Naturvetenskap & IT

Amna Pir Muhammad disputerar i ämnet data- och informationsteknik med avhandlingen "Bridging Worlds: Integrating Human Factors in Agile Automated Vehicle Development".

Disputation
Datum
21 jan 2025
Tid
13:15 - 16:00
Plats
Rum Tesla, Lindholmen Science Park, Lindholmspiren 5, 402 78 Göteborg
Ytterligare information
Länk till avhandlingen i GUPEA

Arrangör
Department of Computer Science and Engineering

Sammanfattning:

Automated vehicles (AVs) promise safer and more efficient transportation. Their success, however, relies not only on advanced technology but also on designing systems that account for human behavior, capabilities, and limitations – insights central to the field of human factors. These insights are crucial for creating AVs that are intuitive, safe, trustworthy, and widely accepted. Yet, integrating human factors into agile development is challenging, as traditional methods relying on detailed upfront requirements often conflict with agile’s focus on speed and flexibility.

To address these challenges, this thesis examines the properties of agile development and human factors, focusing on their implications for AV development. Based on these findings, it introduces “Requirement Strategies” – a structured framework to effectively incorporate human factors into agile requirements engineering. This strategy is built around three core perspectives: organizational, structural, and work & feature flow.

Another contribution of this thesis is identifying strategic ways to position human factors expertise within organizations, such as embedding specialists within user experience teams or at key decision-making levels, to ensure effective integration of human factors considerations despite resource constraints.

By proposing actionable strategies to enhance the integration of human factors knowledge into agile AV development, this thesis contributes to the development of AVs that are not only technologically advanced but also intuitive, safe, and aligned with human capabilities and limitations.

Fakultetsopponent:

Professor Anne Hess
Technical University of Applied Sciences Würzburg-Schweinfurt

Betygsnämnd:

Associate Professor Maya Daneva, University of Twente
Professor Marianne Karlsson, Chalmers Tekniska Högskola
Professor Daniel Amyot, University of Ottawa

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