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地理增强现实(Geo AR)手机游戏月活跃用户数量的代理指标——以在线搜索量作为提议。

Proxies to the monthly active user number of Geo AR Mobile games - online search volume as a proposal.

作者信息

Liu Hugh Xuechen, Wagner Christian

机构信息

School of Creative Media, City University of Hong Kong, Hong Kong, SAR China.

出版信息

Multimed Tools Appl. 2023 Jan 13:1-23. doi: 10.1007/s11042-023-14366-5.

DOI:10.1007/s11042-023-14366-5
PMID:36685014
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9838453/
Abstract

Mobile game metrics have received attention since the emergence of big data technology and data-based decision-making. Among different metrics, the monthly active user number is usually significant because it shows the level of players' engagement and the profit of this game as a business. Therefore, the monthly active user number is valuable for researchers, analysts, and decision-makers interested in the mobile game industry. However, the actual monthly active user number data typically have the accuracy, accessibility, granularity, and cost problems. Therefore, a proxy to the monthly active user number would be helpful to facilitate the decision-making process. This paper proposes to capture user activity through the searches on the Internet from an information-seeking perspective. And the online search volume, wiki page view, social media posts and views are proposed as potential proxies. This paper proposes that the online search volume is an acceptable proxy for the monthly active user number in the context of Geo Augmented Reality (AR) mobile games through data analysis.

摘要

自大数据技术和基于数据的决策出现以来,手机游戏指标受到了关注。在不同的指标中,月活跃用户数通常很重要,因为它显示了玩家的参与程度以及这款游戏作为一项业务的盈利情况。因此,月活跃用户数对于对手机游戏行业感兴趣的研究人员、分析师和决策者来说是有价值的。然而,实际的月活跃用户数数据通常存在准确性、可获取性、粒度和成本问题。因此,月活跃用户数的一个代理指标将有助于促进决策过程。本文建议从信息寻求的角度通过互联网搜索来捕捉用户活动。并提出在线搜索量、维基页面浏览量、社交媒体帖子和浏览量作为潜在的代理指标。本文通过数据分析提出,在地理增强现实(AR)手机游戏的背景下,在线搜索量是月活跃用户数的一个可接受的代理指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2c2/9838453/a5c64c03fb8f/11042_2023_14366_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2c2/9838453/a5c64c03fb8f/11042_2023_14366_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2c2/9838453/a5c64c03fb8f/11042_2023_14366_Fig1_HTML.jpg

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本文引用的文献

1
How Do Location-Based Augmented Reality Games Improve Physical and Mental Health? Evaluating the Meanings and Values of Pokémon Go Users' Experiences through the Means-End Chain Theory.基于位置的增强现实游戏如何改善身心健康?通过手段-目的链理论评估《宝可梦Go》用户体验的意义和价值。
Healthcare (Basel). 2021 Jun 24;9(7):794. doi: 10.3390/healthcare9070794.
2
Using the confidence interval confidently.自信地使用置信区间。
J Thorac Dis. 2017 Oct;9(10):4125-4130. doi: 10.21037/jtd.2017.09.14.
3
Gotta catch'em all! Pokémon GO and physical activity among young adults: difference in differences study.
必须抓住它们全部!《宝可梦GO》与年轻人的身体活动:双重差分研究
BMJ. 2016 Dec 13;355:i6270. doi: 10.1136/bmj.i6270.
4
Specificity vs. Generalizability: Emergence of Especial Skills in Classical Archery.特异性与通用性:古典射箭中特殊技能的出现
Front Psychol. 2016 Aug 5;7:1178. doi: 10.3389/fpsyg.2016.01178. eCollection 2016.
5
Data Science and its Relationship to Big Data and Data-Driven Decision Making.数据科学及其与大数据和数据驱动决策的关系。
Big Data. 2013 Mar;1(1):51-9. doi: 10.1089/big.2013.1508.
6
Statistics corner: A guide to appropriate use of correlation coefficient in medical research.统计专栏:医学研究中相关系数合理应用指南
Malawi Med J. 2012 Sep;24(3):69-71.
7
Predicting consumer behavior with Web search.利用网络搜索预测消费者行为。
Proc Natl Acad Sci U S A. 2010 Oct 12;107(41):17486-90. doi: 10.1073/pnas.1005962107. Epub 2010 Sep 27.
8
Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians.自助法置信区间:何时使用、选用哪种、是什么?医学统计学家实用指南。
Stat Med. 2000 May 15;19(9):1141-64. doi: 10.1002/(sici)1097-0258(20000515)19:9<1141::aid-sim479>3.0.co;2-f.
9
Calculation of the EC50 and its confidence interval when subtoxic stimulus is present.存在亚毒性刺激时EC50及其置信区间的计算。
Ecotoxicol Environ Saf. 1993 Feb;25(1):25-32. doi: 10.1006/eesa.1993.1003.