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Towards a Data-Informed-Design (D-I-D) Framework for Autonomous Vehicle Design
Intelligent Mobility Design Centre, Royal College of Art, London (GBR); Laboratory for Artificial Intelligence in Design, Hong Kong Special Administrative Region Government, Hong Kong (CHN).
University West, School of Business, Economics and IT, Division of Media and Design. Chalmers University of Technology, Department of Industrial and Materials Science,Gothenburg (SWE).
Intelligent Mobility Design Centre, Royal College of Art, London (GBR).
Intelligent Mobility Design Centre, Royal College of Art, London (GBR).
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2023 (English)In: International Conference on Design and Semantics of Form and Movement / [ed] Bruns M., Chen L.-L., Hu J., Colombo S., Lim Y., Kyffin S., Vieira O., Raijmakers E.J., Rampino L., Ramirez E.R., Steffen D.J. & Wong C, The Hong Kong Polytechnic University , 2023, p. 170-179Conference paper, Published paper (Other academic)
Abstract [en]

Autonomous Vehicles (AV) have the potential to positively contribute towards a safer, greener, and more sustainable mobility. Yet, amongst the public, there is a general sense of distrust and apprehension with regards to autonomous technology that compromises AV acceptance and uptake. This paper introduces first steps towards the development of a DataInformed-Design (D-I-D) framework for AV design with the aim of providing design practitioners with tangible, relatable anchors to direct activities towards critical AV design features that help ensure prospective passengers’ needs and motivations, such as the need for safety and security, are met. A series of interviews were conducted with senior designers to identify key design features. The interviews revealed themes rather than individual design features, such as the need for ‘comfort’, which hint at the complex interactions between people’s needs and motivations and how design can and should respond to this complexity. The results are discussed in the context of the further development of the D-I-D framework and future research. 

Place, publisher, year, edition, pages
The Hong Kong Polytechnic University , 2023. p. 170-179
Series
DeSForM, ISSN 27066150 ; 12
Keywords [en]
Autonomous Vehicles, AV, DataInformed-Design (D-I-D) framework, design
National Category
Transport Systems and Logistics Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:hv:diva-21598Scopus ID: 2-s2.0-85190698597ISBN: 9789623678704 (print)OAI: oai:DiVA.org:hv-21598DiVA, id: diva2:1939784
Conference
12th International Conference on Design and Semantics of Form and Movement, DeSForM 2023 Hong Kong 5-7 July 2023
Note

 Conference code: 310459

Available from: 2025-02-24 Created: 2025-02-24 Last updated: 2025-09-30

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