Who wants to be a self-driving car?

A mixed-reality data-trust exercise

Joey Lee

Benedikt Groß | moovel lab | University of Design Schwäbisch Gmünd

Raphael Reimann | moovel lab

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 rights@benjamins.nl.

Published online: 16 March 2020
https://doi.org/10.1075/idj.25.1.02lee

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Who wants to be a self-driving car?