Investigating how users engage with a pedometer app

被引：3
|
作者：
Asadzadeh, Parvin [1 ]
Rooksby, John [1 ]
Chalmers, Matthew [1 ]
机构：
[1] Univ Glasgow, Glasgow, Lanark, Scotland
来源：
UBICOMP'16 ADJUNCT: PROCEEDINGS OF THE 2016 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING | 2016年
基金：
英国工程与自然科学研究理事会;
关键词：
Personal informatics; mobile applications; interaction logs; app usage patterns;
D O I：
10.1145/2968219.2971589
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Mobile application usage data has been investigated by many researchers to explore reasoning about users' contexts and their routines. A large number of early studies in this area provide relatively simple analyses, and some more recent works look more deeply at the patterns of logged events. This paper explains a new work on the analysis of interaction logs collected from a pedometer-based mobile app to extract different usage patterns of the app.
引用
收藏
页码：612 / 617
页数：6
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