The Workshop on Mining and Learning from Smartphones Apps for Users
In conjunction with the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2018)
Paper Submission: July 27, 2018
Smartphone applications (abbr. apps) are ubiquitous in our daily life. Abundant apps provide useful services in almost every aspect of modern life. Easy to download and often free, apps can be fun and convenient for playing games, getting turn-by-turn directions, and accessing news, books, weather, and more. Apps on smartphones can be considered as the entry point to access everyday life services such as communication, shopping, navigation, and entertainment. Since a smartphone is linked to an individual user, apps in smartphones can sense users’ behavior and activities.
Researchers can use smartphone apps to record users’ personal history data, and use the data to analyze apps and understand users. In this workshop (AppLens 2018), we bring researchers together with an interest in understanding users from their use of smartphone apps (e.g., interests, personality, and life routines), discovering cultural and social phenomenon (e.g., social event detection) through analyzing app usage, recognizing app usage behaviors (e.g., app overuse detection), and studying smartphone apps (e.g., app categorization and app popularity prediction). We want researchers to share their experiences, success and frustrations on conducting research in such topics so as to capture a state-of-art on theories, models, and methodologies that cope with these challenges. This workshop will include paper sessions, an invited talk, and Best paper award. Moreover, we will select a few accepted papers to be extended and published in a prestigious journal special issue.
The workshop fosters discussions covering methodologies and tools, theories and models, design, or descriptions in the topics such as (but not limited to):
The goal of the workshop is to gather a community that focuses on mining and learning from smartphone apps for users. We provide a platform for participants both in academia and industry that are interested in the topics.
We welcome both of regular (up to 10 pages) and short (up to 5 pages) paper contributions submitted as PDF files. We also encourage submissions of work-in-progress papers. All contributions must not have been previously published or be under consideration for publication elsewhere. The workshop accepts manuscripts in SIGCHI Extended Abstracts Format (word template and LaTex template). Submissions can be made at https://new.precisionconference.com/sigchi. (On the submissions tab, select SIGCHI society and UbiComp 2018 conference. Then the submission track of UbiComp 2018 Workshop - AppLens will appear.)
All submitted papers will be reviewed and judged on originality, technical correctness, relevance, and quality of presentation by the Program Committee. All accepted submissions must be presented during the workshop. Papers will be given a total of 20 minutes including questions (we suggest you reserve 3-5 minutes for questions).
The accepted papers will be published in the UbiComp 2018/ISWC Adjunct Proceedings, which will be included in the ACM Digital Library. The extended versions of selected workshop papers will be published in a journal special issue after the workshop.
The Best Paper Award is given to the best paper presented at the AppLens 2018 workshop, to acknowledge and encourage excellence in research. The awardee will be presented with a certificate and a monetary award (300$) at the workshop.
If you have any question, please feel free to contact email@example.com.
All accepted submissions must be presented during the workshop. Papers will be given a total of 20 minutes including questions (we suggest you reserve 3-5 minutes for questions).
(1) An Empirical Study of the Usage of the Swarm App's Cross-Site Sharing Feature
Shihan Lin, Rong Xie, Yang Chen, Yu Xiao, Pan Hui.
(2) grippeNET App: Enhancing participatory Influenza monitoring through mobile phone sensors
Marco Hirsch, Olivia Woolley-Meza, Daniela Paolotti, Antoine Flahault, Paul Lukowicz.
(3) Demographic Attributes Prediction Through App Usage Behaviors on Smartphones
Sha Zhao, Feng Xu, Zhiling Luo, Shijian Li, Gang Pan
(4) Investigating Login Features in Smartphone Apps
Nicholas Micallef, Erwin Adi, Gaurav Misra
(5) MobiET: A New Approach to Eye Tracking for Mobile Device
Anjie Zhu, Qianjing Wei, Yining Hu, Zhangwei Zhang, Shiwei cheng
(6) Characterizing and Predicting Individual Traffic Usage of Mobile Application in Cellular Network
Jing Wu, Ming Zeng, Xinlei Chen, Yong Li, Depeng Jin
Gang Pan is a Professor with the College of Computer Science and Technology, Zhejiang University. Contact him at firstname.lastname@example.org
Sha Zhao is a Postdoctoral Research Fellow with the College of Computer Science and Technology, Zhejiang University. Contact her at email@example.com
Zhiwen Yu is a Professor vice dean in the School of Computer Science, Northwestern Polytechnical University. Contact him at firstname.lastname@example.org
Anind Dey is a Professor and Dean of the Information School, University of Washington. Contact him at email@example.com