Article published In:
Information VisualizationEdited by Marian Dörk and Isabel Meirelles
[Information Design Journal 25:1] 2019
► pp. 21–27
Edited by Marian Dörk and Isabel Meirelles
[Information Design Journal 25:1] 2019
► pp. 21–27
Who wants to be a self-driving car?
A mixed-reality data-trust exercise
Self-driving cars and autonomous transportation systems are projected to create radical societal changes, yet public
understanding and trust of self-driving cars and autonomous systems is limited. The authors present a new mixed-reality experience designed
to provide its users with insights into the ways that self-driving cars operate. A single-person vehicle equipped with sensors provides its
users with data driven visual feedback in a virtual reality headset to navigate in physical space. The authors explore how immersive
experiences might provide ‘conceptual affordances’ that lower the entry barrier for diverse audiences to discuss complex topics.
Keywords: VR, mixed reality, empathy prototype, data trust, autonomous vehicles
Article outline
- 1.Background
- 2.Problem
- 3.Methodology & solution
- 3.1Materials and production
- 3.2 vr view & driving experience
- 4.Results & conclusions
- 4.1Discussion and facilitation
- 4.2Questioning one’s senses
- 4.3Future directions
- Acknowledgements
- Author queries
-
References
Available under the Creative Commons Attribution-NonCommercial (CC BY-NC) 4.0 license.
For any use beyond this license, please contact the publisher at [email protected].
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Cited by (1)
Cited by one other publication
Paananen, Ville, Mohammad Sina Kiarostami, Lee Lik-Hang, Tristan Braud & Simo Hosio
2024. From Digital Media to Empathic Spaces: A Systematic Review of Empathy Research in Extended Reality Environments. ACM Computing Surveys 56:5 ► pp. 1 ff. 
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