research-article

The Context Matters: Predicting the Number of In-game Actions Using Traces of Mobile Augmented Reality Games

Authors:

Katharina Keller,

Bernd Freisleben,

Oliver HinzAuthors Info & Claims

MUM '18: Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia

Pages 25 - 35

https://doi.org/10.1145/3282894.3282908

Published: 25 November 2018 Publication History

Abstract

Augmented Reality (AR) is an approach to enrich the real world with additional information. It allows users to interact with virtual objects that are linked to locations in the real world. In the area of mobile computer games, AR is quite demanding for managing resources in communication networks, since in-game points of interest typically lead to high network loads, whereas network utilization is otherwise below the average. Predicting the number of in-game actions of mobile AR games can help to scale the game back-end reasonably without over- or under-provisioning of resources. Context information like weather or available Wi-Fi access points can play a key role in estimating or predicting the number of in-game actions. In this paper, we analyze a comprehensive dataset that contains players' actions of one of the most popular mobile AR games, Ingress. The dataset entails more than 23.9 million player actions over a period of 17 months, as well as additional contextual information. Our analysis shows a highly significant relationship between context factors and in-game actions, which explains large parts of users' behavior in terms of when, where and how often they play the game. By combining four different context factors (i.e., time, user, physical and computing context), our analysis can explain up to 84.44% of the variation in the number of in-game actions.

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Cited By

Sterz AFelka PSimon BKlos SKlein AHinz OFreisleben B(2022)Multi-Stakeholder Service Placement via Iterative Bargaining With Incomplete InformationIEEE/ACM Transactions on Networking10.1109/TNET.2022.315704030:4(1822-1837)Online publication date: Aug-2022
https://doi.org/10.1109/TNET.2022.3157040
Mihale-Wilson CFelka PHinz OSpann M(2021)The Impact of Strategic Core-Component Reuse on Product Life CyclesBusiness & Information Systems Engineering10.1007/s12599-021-00706-y64:2(223-237)Online publication date: 23-Jun-2021
https://doi.org/10.1007/s12599-021-00706-y
Al-Shatri HKeller KJacobfeuerborn FHinz OKlein A(2019)Eliciting and Considering Underlay User Preferences for Data-Forwarding in Multihop Wireless NetworksIEEE Access10.1109/ACCESS.2019.29067317(40052-40067)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2906731

Index Terms

The Context Matters: Predicting the Number of In-game Actions Using Traces of Mobile Augmented Reality Games
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Empirical studies in ubiquitous and mobile computing

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cover image ACM Other conferences

MUM '18: Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia

November 2018

548 pages

ISBN:9781450365949

DOI:10.1145/3282894

Copyright © 2018 ACM.

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Publication History

Published: 25 November 2018

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MUM 2018

MUM 2018: 17th International Conference on Mobile and Ubiquitous Multimedia

November 25 - 28, 2018

Cairo, Egypt

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MUM '18 Paper Acceptance Rate 37 of 82 submissions, 45%;

Overall Acceptance Rate 190 of 465 submissions, 41%

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Cited By

Sterz AFelka PSimon BKlos SKlein AHinz OFreisleben B(2022)Multi-Stakeholder Service Placement via Iterative Bargaining With Incomplete InformationIEEE/ACM Transactions on Networking10.1109/TNET.2022.315704030:4(1822-1837)Online publication date: Aug-2022
https://doi.org/10.1109/TNET.2022.3157040
Mihale-Wilson CFelka PHinz OSpann M(2021)The Impact of Strategic Core-Component Reuse on Product Life CyclesBusiness & Information Systems Engineering10.1007/s12599-021-00706-y64:2(223-237)Online publication date: 23-Jun-2021
https://doi.org/10.1007/s12599-021-00706-y
Al-Shatri HKeller KJacobfeuerborn FHinz OKlein A(2019)Eliciting and Considering Underlay User Preferences for Data-Forwarding in Multihop Wireless NetworksIEEE Access10.1109/ACCESS.2019.29067317(40052-40067)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2906731

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