作者: Bernd Hollerit , Helmut Prendinger , Marc Cavazza , Raghvendra Jain , Anjie Fang
DOI: 10.1109/ACCESS.2021.3062325
关键词: Analytics 、 ICO 、 Data collection 、 Session (web analytics) 、 Mobile device 、 Computer science 、 Cluster analysis 、 Incentive 、 Human–computer interaction 、 Crowdsourcing
摘要: We describe iCO2, a simulation platform for collecting driving behavior data. It is designed as the first massively multiplayer online game mobile devices to practice eco-friendly driving. facilitates collection of large-scale data on better understand compliance and incentive mechanisms eco-driving users’ preferences. present results campaign with iCO2 that used promoter attract 2455 users. The are described from three angles: (1) types drivers identified by clustering behavior; (2) players relating players’ interaction elements their (3) looking at longer sessions, we demonstrate who show eco-unfriendly beginning session improve throughout playtime.