Three social car visions to improve driver behaviour


Autoria(s): Rakotonirainy, Andry; Schroeter, Ronald; Soro, Alessandro
Data(s)

01/10/2014

Resumo

The social cost of road injury and fatalities is still unacceptable. The driver is often mainly responsible for road crashes, therefore changing the driver behaviour is one of the most important and most challenging priority in road transport. This paper presents three innovative visions that articulate the potential of using Vehicle to Vehicle (V2V) communication for supporting the exchange of social information amongst drivers. We argue that there could be tremendous benefits in socialising cars to influence human driving behaviours for the better and that this aspect is still relevant in the age of looming autonomous cars. Our visions provide theoretical grounding how V2V infrastructure and emerging human–machine interfaces (HMI) could persuade drivers to: (i) adopt better (e.g. greener) driving practices, (ii) reduce drivers aggressiveness towards pro-social driving behaviours, and (iii) reduce risk-taking behaviour in young, particularly male, adults. The visions present simple but powerful concepts that reveal ‘good’ aspects of the driver behaviour to other drivers and make them contagious. The use of self-efficacy, social norms, gamification theories and social cues could then increase the likelihood of a widespread adoption of such ‘good’ driving behaviours.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/73042/

Publicador

Elsevier

Relação

http://eprints.qut.edu.au/73042/1/73042.pdf

DOI:10.1016/j.pmcj.2014.06.004

Rakotonirainy, Andry, Schroeter, Ronald, & Soro, Alessandro (2014) Three social car visions to improve driver behaviour. Pervasive and Mobile Computing, 14, pp. 147-160.

Direitos

Copyright 2014 Please consult the authors

NOTICE: this is the author’s version of a work that was accepted for publication in Pervasive and Mobile Computing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Pervasive and Mobile Computing, [VOL#, ISSUE#, (DATE)] DOI: 10.1016/j.pmcj.2014.06.004

Fonte

Centre for Accident Research & Road Safety - Qld (CARRS-Q); Computer Science; Faculty of Health; Institute of Health and Biomedical Innovation; Science & Engineering Faculty; School of Psychology & Counselling

Palavras-Chave #080602 Computer-Human Interaction #social cars #pervasive computing #social norms #cooperative systems #Intelligent Transport Systems
Tipo

Journal Article