DocumentCode :
18514
Title :
iCO2: A Networked Game for Collecting Large-Scale Eco-Driving Behavior Data
Author :
Prendinger, Helmut ; Oliveira, Juliano ; Catarino, Joao ; Madruga, Marconi ; Prada, Rui
Author_Institution :
Nat. Inst. of Inf., Tokyo, Japan
Volume :
18
Issue :
3
fYear :
2014
fDate :
May-June 2014
Firstpage :
28
Lastpage :
35
Abstract :
iCO2 is a networked game that aims to collect human driving behavior data at scale and help researchers better understand how people apply eco-driving practices. iCO2 is an integrated multiplatform game that can be accessed via Web client on Facebook and iPad clients, and supports a shared traffic experience among its users. Here, the authors describe iCO2 and discuss two key efforts and their results. First, they investigated the scalability of Distributed Virtual Environments (DiVE), the networking framework they developed for multiuser 3D virtual world applications. The "area of interest" method that DiVE uses was tested in a laboratory setting and showed promising results on two important metrics: bandwidth and frames per second. Second, they ran a small marketing campaign to collect data from users interacting with the iPad version of iCO2 "in the wild." They then analyzed the users\´ acceleration behavior, an important aspect of eco-driving.
Keywords :
behavioural sciences computing; computer games; data acquisition; driver information systems; road traffic; virtual reality; DiVE; Facebook; Web client; distributed virtual environments; eco-driving practices; human driving behavior data collection; iCO2; iPad clients; integrated multiplatform game; large-scale eco-driving behavior data collection; multiuser 3D virtual world applications; networked game; networking framework; traffic experience; user acceleration behavior; Behavioral science; Facebook; Games; Internet; Social network services; Tablet computers; Internet computing; artificial; augmented; human factors; multiuser games; serious games; virtual realities;
fLanguage :
English
Journal_Title :
Internet Computing, IEEE
Publisher :
ieee
ISSN :
1089-7801
Type :
jour
DOI :
10.1109/MIC.2014.21
Filename :
6756710
Link To Document :
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