2018
DOI: 10.1016/j.entcom.2018.04.006
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The impact on player experience in augmented reality outdoor games of different noise models

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Cited by 14 publications
(5 citation statements)
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References 34 publications
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“…Six articles investigated the effects of gameplay mechanics, namely the level of action complexity (e.g., the number of in-game player actions required to complete a task) (Berglund et al, 2017;Piselli et al, 2009;Tamborini et al, 2011), the social nature of a task (e.g., rescuing human or non-human entities) (Wauck et al, 2018), the implementation of a time limit to complete a task (I. G. Yildirim, 2016), or the level geolocation sensor noise in an augmented reality game (i.e. that alters the accuracy of the geolocation of objects or players in a given physical space of game in the real world) (Eishita & Stanley, 2018). Five articles investigated the effects of avatar appearance in the game (i.e., the representation of the player in the virtual game environment).…”
Section: In-game Contentsmentioning
confidence: 99%
“…Six articles investigated the effects of gameplay mechanics, namely the level of action complexity (e.g., the number of in-game player actions required to complete a task) (Berglund et al, 2017;Piselli et al, 2009;Tamborini et al, 2011), the social nature of a task (e.g., rescuing human or non-human entities) (Wauck et al, 2018), the implementation of a time limit to complete a task (I. G. Yildirim, 2016), or the level geolocation sensor noise in an augmented reality game (i.e. that alters the accuracy of the geolocation of objects or players in a given physical space of game in the real world) (Eishita & Stanley, 2018). Five articles investigated the effects of avatar appearance in the game (i.e., the representation of the player in the virtual game environment).…”
Section: In-game Contentsmentioning
confidence: 99%
“…Finally, in this section you can talk about the great interest in users for the games developed with this technology. Which use sensors and other components of the devices to provide a better experience and make them attractive to all types of people [33].…”
Section: B Development Augmented Reality As a Means Of Learningmentioning
confidence: 99%
“…Fang et al [43] detected flow noise of gas-liquid two-phase flow in horizontal pipeline by using the acoustic emission technique, and processed signals by wavelet transform and chaotic analysis. Eishita et al [44] employed two noise models: a unimodal zero mean Gaussian noise model-a canonical model in sensor systems, and a multimodal noise process generated from a sequential noise model. The final outcomes provided guidance for the AR game development community and other researchers in this arena.…”
Section: Theoretical Analysismentioning
confidence: 99%