EconPapers    
Economics at your fingertips  
 

Evaluating the Human Experience of Autonomous Boats with Immersive Virtual Reality

Titus Venverloo, Fábio Duarte, Tom Benson, Quentin Bitran, Ardion D. Beldad, Ricardo Alvarez and Carlo Ratti

Journal of Urban Technology, 2021, vol. 28, issue 3-4, 141-154

Abstract: Autonomous Vehicles (AVs) are an emergent technology. The very few studies focusing on how people perceive and react to autonomous vehicles are mainly based on online surveys. Although important, these studies measure people‘s opinions on AVs, but not their actual reaction when using them. In this paper, we assess users‘ perceptions of AVs using an immersive virtual reality experiment. We modeled autonomous boats that are intended to be deployed in Amsterdam, the Netherlands. We compared users‘ reactions to manned and unmanned boats in a virtual reality environment. In total, 30 participants were exposed to a Virtual Reality (VR) simulation, where we collected skin conductance data, which was compared with a participant's responses to a questionnaire regarding perceived risk, stress, and trust toward manned and unmanned boats. The study finds that autonomous boats do not substantially influence the experienced stress, trust, or perceived risk in comparison with human-controlled boats. This article also shows the gains that virtual reality can bring to studies of the social appropriation of technologies. Results show the need for objective, quantitative data regarding the societal acceptance toward autonomous systems to better understand how these technologies will be appropriated.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/10630732.2020.1802214 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:cjutxx:v:28:y:2021:i:3-4:p:141-154

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/cjut20

DOI: 10.1080/10630732.2020.1802214

Access Statistics for this article

Journal of Urban Technology is currently edited by Richard E. Hanley

More articles in Journal of Urban Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:cjutxx:v:28:y:2021:i:3-4:p:141-154