Exploiting Gamification to Improve Eco-driving Behaviour: The GamECAR Approach.

التفاصيل البيبلوغرافية
العنوان: Exploiting Gamification to Improve Eco-driving Behaviour: The GamECAR Approach.
المؤلفون: Nousias, Stavros, Tselios, Christos, Bitzas, Dimitris, Amaxilatis, Dimitris, Montesa, Javier, Lalos, Aris S., Moustakas, Konstantinos, Chatzigiannakis, Ioannis
المصدر: ENTCS: Electronic Notes in Theoretical Computer Science; May2019, Vol. 343, p103-116, 14p
مصطلحات موضوعية: DISTRACTED driving, GAMIFICATION, SYSTEMS development, BEHAVIOR
مستخلص: GamECAR aims to develop a highly innovative and interactive Serious Games platform that will empower and guide users to adopt an eco-friendly driving style. This will be achieved, without distracting them from safe driving, through a multidisciplinary approach aiming at the development of a user friendly, unobtrusive multi-player gaming environment, where the users will not only play collaboratively/competitively using their mobile device but also use the car itself and their own bodies, thus turning eco-driving into an immersive and highly motivating experience. The sensing infrastructure of GamECAR will acquire data related to driving from an OBD sensor that will capture a complex set of parameters related to eco-driving, and will also sense environmental and physiological parameters of the driver, so as to better position the state of the system (car) in context (environment, user). The GamECAR system will be quantified and evaluated in test campaigns with drivers in three different sites that will serve system development and will also demonstrate usefulness and exploitation potential. [ABSTRACT FROM AUTHOR]
Copyright of ENTCS: Electronic Notes in Theoretical Computer Science is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Supplemental Index