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Published in: AI & SOCIETY 4/2017

28-01-2017 | Open Forum

How to study public imagination of autonomous systems: the case of the Helsinki automated metro

Author: Mikael Wahlström

Published in: AI & SOCIETY | Issue 4/2017

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Abstract

Means of transportation are changing through advances in automation. One issue to be considered in this development is public opinion regarding these systems, yet existing studies of automated transportation do not provide theoretical or methodological means for exploring public imagination, even though this would be relevant in exploring public acceptance of future technologies. Applied for studying public views on a future automated metro system, a method was devised that includes quantitative and qualitative analysis of media and questionnaire data (n = 913). Although supportive arguments dominated media discussion, people’s attitudes were negative. The two most prominent models of media influence, repetition and cultural resonance, could not fully explain the results; therefore, public imagination, which reflected daily experiences and science fiction, was explored with reference to social representations literature. It is suggested in general that public imagination, along with media discourses and societal settings that contribute to explanations, should be considered in the design and study of automated systems. It is also discussed that the social representations approach could be beneficial for media frame studies by providing explications as to why certain frames might have or lack cultural resonance.

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Metadata
Title
How to study public imagination of autonomous systems: the case of the Helsinki automated metro
Author
Mikael Wahlström
Publication date
28-01-2017
Publisher
Springer London
Published in
AI & SOCIETY / Issue 4/2017
Print ISSN: 0951-5666
Electronic ISSN: 1435-5655
DOI
https://doi.org/10.1007/s00146-017-0689-4

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