PrefMiner: Mining user's preferences for intelligent mobile notification management

UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Volumn , Issue , 2016, Pages 1223-1234

  Mehrotra, Abhinav ^a   Hendley, Robert ^a   Musolesi, Mirco ^a  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

Context aware computing; Interruptibility; Notifications

Indexed keywords

COMPUTER PROGRAMMING; COMPUTER SCIENCE;

AUTOMATIC EXTRACTION; BLACK BOXES; CONTEXT-AWARE COMPUTING; INTERRUPTIBILITY; NOTIFICATIONS; RUNTIMES; USER'S PREFERENCES; USERS' INTERESTS;

UBIQUITOUS COMPUTING;

EID: 84991454098     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2971648.2971747     Document Type: Conference Paper

References (36)

1. 2016. Android DDMS. (2016). http://developer.android.com/tools/debugging/ddms.html.
2. 2016. CLOC - Count Lines of Code. (2016). http://cloc.sourceforge.net.
3. 2016. Facebook http://www.facebook.com. (2016).
4. 2016. Google Now. (2016). http://www.google.com/landing/now/.
5. 2016. qdapDictionaries for R. (2016). http://trinker.github.io/qdapDictionaries/
6. 2016. Snowball Stemming Libraries for R. (2016). http://snowball.tartarus.org.
7. 2016. Weka: Data Mining Software in Java. (2016). http://www.cs.waikato.ac.nz/ml/weka/
8. Piotr D Adamczyk and Brian P Bailey. 2004. If not now, when?: the effects of interruption at different moments within task execution. In CHI'04.
9. Rakesh Agrawal, Tomasz Imieliński, and Arun Swami. 1993. Mining association rules between sets of items in large databases. In SIGMOD'93.
10. Brian P Bailey and Joseph A Konstan. 2006. On the need for attention-aware systems: Measuring effects of interruption on task performance, error rate, and affective state. Computers in Human Behavior 22, 4(2006), 685-708.
11. Brian P Bailey, Joseph A Konstan, and John V Carlis. 2001. The effects of interruptions on task performance, annoyance, and anxiety in the user interface. In INTERACT'01.
12. Michael W Berry and Jacob Kogan. 2010. Text mining: applications and theory. John Wiley & Sons.
13. Herbert H Clark. 1996. Using language. Cambridge University Press.
14. Edward Cutrell, Mary Czerwinski, and Eric Horvitz. 2001. Notification, disruption, and memory: Effects of messaging interruptions on memory and performance. In Interact'01.
15. Nathan Eagle and Alex Sandy Pentland. 2009. Eigenbehaviors: Identifying structure in routine. Behavioral Ecology and Sociobiology 63, 7(2009), 1057-1066.
16. Martin Ester, Hans-Peter Kriegel, Jörg Sander, and Xiaowei Xu. 1996. A density-based algorithm for discovering clusters in large spatial databases with noise. In KDD'96.
17. Adrienne Porter Felt, Serge Egelman, and David Wagner. 2012. I've got 99 problems, but vibration ain't one: a survey of smartphone users' concerns. In SPSM'12.
18. Joel E Fischer, Chris Greenhalgh, and Steve Benford. 2011. Investigating episodes of mobile phone activity as indicators of opportune moments to deliver notifications. In MobileHCI'11.
19. Joel E Fischer, Nick Yee, Victoria Bellotti, Nathan Good, Steve Benford, and Chris Greenhalgh. 2010. Effects of content and time of delivery on receptivity to mobile interruptions. In MobileHCI'10.
20. Sukeshini A Grandhi and Quentin Jones. 2009. Conceptualizing interpersonal interruption management: A theoretical framework and research program. In HICSS'09.
21. Joyce Ho and Stephen S. Intille. 2005. Using Context-Aware Computing to Reduce the Perceived Burden of Interruptions from Mobile Devices. In CHI'05.
22. Eric Horvitz, Paul Koch, and Johnson Apacible. 2004. BusyBody: creating and fielding personalized models of the cost of interruption. In CSCW'04.
23. Shamsi T Iqbal and Eric Horvitz. 2010. Notifications and awareness: a field study of alert usage and preferences. In CSCW'10.
24. Abhinav Mehrotra, Mirco Musolesi, Robert Hendley, and Veljko Pejovic. 2015. Designing Content-driven Intelligent Notification Mechanisms for Mobile Applications. In UbiComp'15.
25. Abhinav Mehrotra, Veljko Pejovic, Jo Vermeulen, Robert Hendley, and Mirco Musolesi. 2016. My Phone and Me: Understanding User's Receptivity to Mobile Notifications. In CHI'16.
26. Tadashi Okoshi, Julian Ramos, Hiroki Nozaki, Jin Nakazawa, Anind K Dey, and Hideyuki Tokuda. 2015. Reducing users' perceived mental effort due to interruptive notifications in multi-device mobile environments. In UbiComp'15.
27. Carlos Ordonez. 2006. Comparing association rules and decision trees for disease prediction. In HIKM'06.
28. Veljko Pejovic and Mirco Musolesi. 2014. InterruptMe: designing intelligent prompting mechanisms for pervasive applications. In UbiComp'14.
29. Veljko Pejovic and Mirco Musolesi. 2015. Anticipatory mobile computing: A survey of the state of the art and research challenges. Comput. Surveys 47, 3(2015), 1-47.
30. Martin Pielot, Karen Church, and Rodrigo de Oliveira. 2014a. An in-situ study of mobile phone notifications. In MobileHCI'14.
31. Martin Pielot, Rodrigo de Oliveira, Haewoon Kwak, and Nuria Oliver. 2014b. Didn't you see my message?: predicting attentiveness to mobile instant messages. In CHI'14.
32. Stephanie Rosenthal, Anind K Dey, and Manuela Veloso. 2011. Using decision-theoretic experience sampling to build personalized mobile phone interruption models. In Pervasive Computing. 170-187.
33. Alireza Sahami Shirazi, Niels Henze, Tilman Dingler, Martin Pielot, Dominik Weber, and Albrecht Schmidt. 2014. Large-scale assessment of mobile notifications. In CHI'14.
34. Philip H Swain and Hans Hauska. 1977. The decision tree classifier: Design and potential. IEEE Transactions on Geoscience Electronics 15, 3(1977), 142-147.
35. Yiming Yang and Jan O Pedersen. 1997. A comparative study on feature selection in text categorization. In ICML'97.
36. Lide Zhang, Birjodh Tiwana, Zhiyun Qian, Zhaoguang Wang, Robert P. Dick, Zhuoqing Morley Mao, and Lei Yang. 2010. Accurate Online Power Estimation and Automatic Battery Behavior Based Power Model Generation for Smartphones. In CODES/ISSS'10.