Sonia Baltodano
Nikolas Martelaro
Nikhil Gowda
Wendy Ju
ABSTRACT
This video introduces a methodology for simulating an autonomous vehicle on open public roads. The video showcases participant reaction footage collected in the RRADS (Real Road Autonomous Driving Simulator). Although our study using this simulator did not use overt deception--the consent form clearly states that a licensed driver is operating the vehicle--the protocol was designed to support suspension of disbelief. Several participants who did not read the consent form clearly strongly believed that the vehicle was autonomous; this provides a lens onto the attitudes and concerns that people in real-world autonomous vehicles might have, and also points to ways that a protocol that deliberately used misdirection could gain ecologically valid reactions from study participants.
Supplemental Material
- Ive, H., Ju, W. and Kohler, K. 2014. Quantitative Measures of User Experience in Autonomous Driving Simulators. AutomotiveUI, Seattle, WA, USA. Google Scholar
Digital Library
- Talone, A., Fincannon, T., Schuster, D., Jentsch, F. and Hudson, I. 2013. Comparing Physical and Virtual Simulation Use in UGV Research. Proc. of the Human Factors and Ergonomics Society, vol. 57 no. 1 2017--202 Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage, and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s). Copyright is held by the author/owner(s). HRI'15 Extended Abstracts, March 2-5, 2015, Portland, OR, USA. ACM 978--1--4503--3318--4/15/03. http://dx.doi.org/10.1145/2701973.2702099Google ScholarDigital Library
Index Terms
- RRADS: Real Road Autonomous Driving Simulation
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