IEEE Internet Computing
Utilizing implicit feedback and context to recommend mobile applications from first use
Proceedings of the 2011 Workshop on Context-awareness in Retrieval and Recommendation
Informed consent and users' attitudes to logging in large scale trials
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
Release your app on Sunday eve: finding the best time to deploy apps
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
A hybrid mass participation approach to mobile software trials
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
What's app?: a wide-scale measurement study of smart phone markets
ACM SIGMOBILE Mobile Computing and Communications Review
A Comparison of Distribution Channels for Large-Scale Deployments of iOS Applications
International Journal of Mobile Human Computer Interaction
International Journal of Mobile Human Computer Interaction
Proceedings of the 2013 international conference on Intelligent user interfaces
Categorised ethical guidelines for large scale mobile HCI
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Upright or sideways?: analysis of smartphone postures in the wild
Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services
Informing future design via large-scale research methods and big data
Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services
Making Decisions about Privacy: Information Disclosure in Context-Aware Recommender Systems
ACM Transactions on Interactive Intelligent Systems (TiiS)
Multi-objective mobile app recommendation: A system-level collaboration approach
Computers and Electrical Engineering
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Today most mobile operating systems provide users with an application portal where they can search for applications published by third-party developers. However, finding new apps is not an easy task and requires either to know what to look for or to go through an endless list of applications. In this paper we present work in progress of a platform that allows its users to discover mobile applications in a serendipitous manner. AppAware is a mobile application that captures and shares installations, updates, and removals of Android programs in real time. Accordingly, AppAware allows its users to see what applications are being installed right now or around their position by other people, thus introducing a new way of interaction with application portals and other mobile users.