Context-Aware Notification for Wearable Computing
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Predicting human interruptibility with sensors
ACM Transactions on Computer-Human Interaction (TOCHI)
IEEE Internet Computing
A survey on context-aware systems
International Journal of Ad Hoc and Ubiquitous Computing
Map-Based Interaction with a Conversational Mobile Recommender System
UBICOMM '08 Proceedings of the 2008 The Second International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
Human-Computer Interaction
Context-aware system for proactive personalized service based on context history
Expert Systems with Applications: An International Journal
ICALT '09 Proceedings of the 2009 Ninth IEEE International Conference on Advanced Learning Technologies
Electronic mobile guides: a survey
Personal and Ubiquitous Computing
Using decision-theoretic experience sampling to build personalized mobile phone interruption models
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
Proceedings of the fifth ACM conference on Recommender systems
A model for proactivity in mobile, context-aware recommender systems
Proceedings of the fifth ACM conference on Recommender systems
Using idle moments to record your health via mobile applications
Proceedings of the 1st ACM workshop on Mobile systems for computational social science
Back to the app: the costs of mobile application interruptions
MobileHCI '12 Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services
An Empirical Case of a Context-Aware Mobile Recommender System in a Banking Environment
MUSIC '12 Proceedings of the 2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing
A model for generating proactive context-aware recommendations in e-Learning systems
FIE '12 Proceedings of the 2012 IEEE Frontiers in Education Conference (FIE)
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Proactivity has recently gained much attention in the area of cyber physical systems as sensing the users' real world environment is needed to achieve it. Proactive recommenders are a good example because they push recommendations to the user when the current situation seems appropriate, without explicit user request. Evaluating whether users would accept proactive recommendations, how to properly notify them and how to present recommended items are important research questions. In this article, we present the scenario related to a context-aware restaurant recommender for Android smartphones. Two options to achieve proactivity have been designed: a widget- and a notification-based solution. In addition, our mobile user interface includes a visualization of recommended items and allows for user feedback. The approach was evaluated in a survey among users with good results regarding usefulness and effectiveness. The results also showed that test users preferred the widget-based solution in terms of user experience.