Funny RSS APK
最新版本
1.0.6 for Windows
更新
2015年September09日
信息
版 1.0.6 (#8)
更新 2015年September09日
APK档案大小 3.2 MB
Android 系统版本要求 Android 4.1+ (Jelly Bean)
开发者 Research Group Mobile Interactive Systems
类别 新闻杂志 (应用)
应用 ID at.fhooe.mint.app
开发者备注 Replaces certain (negative) words of news articles with other (funnier) words
屏幕截图图片
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新功能
Funny RSS 1.0.6的新功能
Settings should work again
Minor preparations for Android 6
Minor preparations for Android 6
内容描述
The Funny RSS app is based on the xkcd comic: Substitutions (http://xkcd.com/1288/), which suggests to replace certain (bad/negative) words of news articles with other (funnier/positive) words.
This app was developed as part of the AUToMAte (Automated Usability Testing of Mobile Applications) project of the MINT Group @ FH Oberösterreich F&E, Campus Hagenberg.
The app includes the AUToMAte logging framework, therefore certain information can and will be tracked. The information consists of a variety of different kinds of data, like e.g. the user interactions on widgets, the type of interaction (tap, scale, fling etc.), device information (device type, carrier name, OS information, ...) and also some context information (user activity [still, walking, ...], language, current location etc.).
The collected data is used for analytics as part of the research project. We collect and aggregate this data with data from other users so that it cannot reasonably be used to identify any particular individual user.
This app was developed as part of the AUToMAte (Automated Usability Testing of Mobile Applications) project of the MINT Group @ FH Oberösterreich F&E, Campus Hagenberg.
The app includes the AUToMAte logging framework, therefore certain information can and will be tracked. The information consists of a variety of different kinds of data, like e.g. the user interactions on widgets, the type of interaction (tap, scale, fling etc.), device information (device type, carrier name, OS information, ...) and also some context information (user activity [still, walking, ...], language, current location etc.).
The collected data is used for analytics as part of the research project. We collect and aggregate this data with data from other users so that it cannot reasonably be used to identify any particular individual user.
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