Print Email Facebook Twitter The Persuasive Automobile Title The Persuasive Automobile: Design and Evaluation of a Persuasive Lane-Specific Advice Human Machine Interface Author van Gent, P. (TU Delft Transport and Planning) Farah, H. (TU Delft Transport and Planning) Nes, Nicole Van (SWOV Institute for Road Safety Research) van Arem, B. (TU Delft Transport and Planning) Date 2020 Abstract Traffic congestion is a major societal challenge. By advising drivers on the optimal lane to drive, traffic flow can be improved, and congestion reduced. In this paper we describe the development of a lane-specific advice Human Machine Interface (HMI). Persuading drivers to follow an advice that is beneficial to the traffic situation, but may not be immediately beneficial to the drivers themselves, is challenging. In this paper we define persuasive elements to encourage drivers to follow the lane-specific advices. We then describe the interface design process, followed by its evaluation using a driving simulator study. In the simulator study, the effect of two types of persuasion are evaluated: a competitive variant where drivers could earn points and compete with others, and a cooperative variant where real-time information on the number of compliant drivers was available. Participants drove in the simulator on two days. Between days, the treatment groups viewed a Web-portal showing their performance and encouragement from an avatar. Those in the competitive and cooperative groups followed significantly more advices (117 and 111) than those in the control group (89). No significant differences were visible between competitive and cooperative groups. The differences between groups only emerged on the second day. Subject Driving simulatorhuman factorshuman machine interfaceintelligent vehiclespersuasive technology To reference this document use: http://resolver.tudelft.nl/uuid:872a3271-c38a-4495-a75e-650b3b9dad42 DOI https://doi.org/10.1109/OJITS.2020.3005528 ISSN 2687-7813 Source IEEE Open Journal of Intelligent Transportation Systems, 1 (1), 93-108 Part of collection Institutional Repository Document type journal article Rights © 2020 P. van Gent, H. Farah, Nicole Van Nes, B. van Arem Files PDF 09127511.pdf 2.67 MB Close viewer /islandora/object/uuid:872a3271-c38a-4495-a75e-650b3b9dad42/datastream/OBJ/view