Towards a Data-Informed-Design (D-I-D) Framework for Autonomous Vehicle Design
Paper i proceeding, 2023

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.

Safety Perception

Public Acceptance

Autonomous Vehicles

Design process

Vehicle Design

Författare

Cyriel Diels

Royal College of Art

Government of the Hong Kong Special Administrative Region

Kostas Stylidis

Högskolan Väst

Chalmers, Industri- och materialvetenskap, Produktutveckling

Farhana Safa

Royal College of Art

Cynthia Charwick

Royal College of Art

Herin Haramoto

Royal College of Art

Government of the Hong Kong Special Administrative Region

Yichen Shu

Government of the Hong Kong Special Administrative Region

Royal College of Art

Jiayu Wu

Royal College of Art

Dale Harrow

Royal College of Art

Government of the Hong Kong Special Administrative Region

International Conference on Design and Semantics of Form and Movement

27066150 (eISSN)

170-179
9789623678704 (ISBN)

12th International Conference on Design and Semantics of Form and Movement, DeSForM 2023
Hong Kong, Hong Kong,

Ämneskategorier

Annan maskinteknik

Transportteknik och logistik

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Senast uppdaterat

2024-04-25