Autonomous Vehicle Design Anti-Patterns: Making Emerging Transportation Technologies Inaccessible by Design

Autor:	Kwajo Boateng, Suyash Ahire, Julian Brinkley, Earl W. Huff
Rok vydání:	2020
Předmět:	Medical Terminology Transformative learning Human–computer interaction Computer science 05 social sciences Personal mobility 0501 psychology and cognitive sciences 050107 human factors 050105 experimental psychology Medical Assisting and Transcription
Zdroj:	Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 64:1038-1042
ISSN:	1071-1813 2169-5067
Popis:	Fully autonomous or “self-driving” vehicles represent a potentially transformative shift in personal mobility. Given the emerging nature of self-driving vehicle technologies, however, guidance for accessible implementation is limited. It has been suggested that the result is that much of this emerging technology is being designed in a manner that will render it largely inaccessible for persons with disabilities. Borrowing from object-oriented programming we identify common barriers to accessibility which we argue are de facto anti- patterns in the design of accessible self-driving vehicle technology. Drawing from the literature and our own studies we describe design commonalities (anti-patterns) which we argue may pose problems for persons with disabilities. We believe that this work may provide direction for designers regarding how to better support the needs of persons with a range of disabilities in the self-driving vehicle context.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::98f83d126f075d46ef7db567bb41cdbc https://doi.org/10.1177/1071181320641249 Zobrazit plný text záznamu