Implementation and Analytics of the Distributed Eco-Driving Simulation iCO2
We describe iCO 2 , a simulation platform for collecting driving behavior data. It is designed as the first massively multiplayer online game for mobile devices to practice eco-friendly driving. It facilitates the collection of large-scale data on driving behavior to better understand compliance and...
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| Veröffentlicht in: | IEEE access 2021, Vol.9, p.36252-36265 |
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| creator | Hollerit, Bernd Prendinger, Helmut Jain, Raghvendra Fontes, Daniela Campos, Henrique Damas, Hugo Fang, Anjie Prada, Rui Cavazza, Marc |
| description | We describe iCO 2 , a simulation platform for collecting driving behavior data. It is designed as the first massively multiplayer online game for mobile devices to practice eco-friendly driving. It facilitates the collection of large-scale data on driving behavior to better understand compliance and incentive mechanisms for eco-driving and users' preferences. We present the results of a campaign with iCO 2 that used a game promoter to attract 2455 users. The results are described from three angles: (1) types of drivers are identified by clustering driving behavior; (2) types of players are identified by relating players' interaction with game elements and their driving behavior; (3) by looking at longer sessions, we demonstrate that players who show eco-unfriendly behavior at the beginning of the session improve their eco-driving behavior throughout their playtime. |
| doi_str_mv | 10.1109/ACCESS.2021.3062325 |
| format | Article |
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The results are described from three angles: (1) types of drivers are identified by clustering driving behavior; (2) types of players are identified by relating players' interaction with game elements and their driving behavior; (3) by looking at longer sessions, we demonstrate that players who show eco-unfriendly behavior at the beginning of the session improve their eco-driving behavior throughout their playtime.</description><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2021.3062325</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>assessment of VR ; Automobiles ; Clustering ; Computer & video games ; Crowdsourcing ; Data collection ; education and training ; Educational software ; Electronic devices ; entertainment and gaming ; Fuels ; game analytics ; Games ; human factors ; massively multi-player games ; multi-player games ; Players ; serious games ; Speed limits ; Training ; user tracking ; Vehicles ; Virtual reality</subject><ispartof>IEEE access, 2021, Vol.9, p.36252-36265</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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| source | IEEE Open Access Journals; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | assessment of VR Automobiles Clustering Computer & video games Crowdsourcing Data collection education and training Educational software Electronic devices entertainment and gaming Fuels game analytics Games human factors massively multi-player games multi-player games Players serious games Speed limits Training user tracking Vehicles Virtual reality |
| title | Implementation and Analytics of the Distributed Eco-Driving Simulation iCO2 |
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