Anciaes, Paulo;
Gkartzonikas, Christos;
Kamargianni, Maria;
Chaniotakis, Emmanouil;
(2025)
A mixed-methods approach using virtual reality to study user reactions to self-driving vehicles.
Presented at: Transportation Research Board 104th Annual Meeting, Washington DC, USA.
(In press).
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Abstract
Context: ▪ Usual data collection methods are insufficient to understand self-driving vehicle passenger experience, because most potential users have not yet experienced these vehicles. ▪ Virtual reality is a solution, but most previous studies using this method have analysed only one type of self-driving vehicle (usually a private car).
| Type: | Conference item (Presentation) |
|---|---|
| Title: | A mixed-methods approach using virtual reality to study user reactions to self-driving vehicles |
| Event: | Transportation Research Board 104th Annual Meeting |
| Location: | Washington DC, USA |
| Dates: | 5 Jan 2025 - 9 Jan 2025 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://www.ectri.org/conferences/trb-104th-annual... |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10203904 |
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