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.

Exploiting Gamification to Improve Eco-driving Behaviour: The GamECAR Approach / Nousias, S.; Tselios, C.; Bitzas, D.; Amaxilatis, D.; Montesa, J.; Lalos, A. S.; Moustakas, K.; Chatzigiannakis, I.. - In: ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE. - ISSN 1571-0661. - 343:(2019), pp. 103-116. (Intervento presentato al convegno European Conference on Ambient Intelligence, AMI 2018 tenutosi a Larnaca; Cyprus) [10.1016/j.entcs.2019.04.013].

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

Chatzigiannakis I.
2019

Abstract

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.
2019
European Conference on Ambient Intelligence, AMI 2018
Gamification; Human-centric design; Transportation
04 Pubblicazione in atti di convegno::04c Atto di convegno in rivista
Exploiting Gamification to Improve Eco-driving Behaviour: The GamECAR Approach / Nousias, S.; Tselios, C.; Bitzas, D.; Amaxilatis, D.; Montesa, J.; Lalos, A. S.; Moustakas, K.; Chatzigiannakis, I.. - In: ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE. - ISSN 1571-0661. - 343:(2019), pp. 103-116. (Intervento presentato al convegno European Conference on Ambient Intelligence, AMI 2018 tenutosi a Larnaca; Cyprus) [10.1016/j.entcs.2019.04.013].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1337273
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