The impact on player experience in augmented reality outdoor games of different noise models

作者: Farjana Z. Eishita , Kevin G. Stanley

DOI: 10.1016/J.ENTCOM.2018.04.006

关键词:

摘要: Abstract Augmented Reality (AR) gaming is leaving the lab and entering general population with a combination of high-end systems from likes Microsoft Facebook as well magic window AR games for commodity smartphones like Pokemon Go. Unlike traditional video games, must solve registration problem to map objects in real world screen via camera. Sensors are typically employed provide pose physical However, all sensors, location orientation sensors subject noise processes. While interaction between processes player enjoyment has been studied networked limited work done examining impact sensor on that largely confined simple models. In this paper, we present an empirical analysis based GPS experience. Our shows different impacted differently by noise. Multimodal can have lower experience than equivalent unimodal processes, when players time their interactions.

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