Designing content-driven intelligent notification mechanisms for mobile applications

UbiComp 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Volumn , Issue , 2015, Pages 813-824

  Mehrotra, Abhinav ^a   Musolesi, Mirco ^b   Hendley, Robert ^a   Pejovic, Veljko ^c  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

Context Aware Computing; Interruptibility; Mobile Sensing; Notifications

Indexed keywords

CLASSIFICATION (OF INFORMATION);

CONTEXT-AWARE COMPUTING; DESIGN OF CLASSIFIERS; INTERRUPTIBILITY; MOBILE APPLICATIONS; MOBILE SENSING; NOTIFICATION MECHANISM; NOTIFICATIONS; SOCIAL RELATIONSHIPS;

UBIQUITOUS COMPUTING;

EID: 84960935408     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2750858.2807544     Document Type: Conference Paper

References (32)

1. Androids Notification Listener Service. http://developer.android.com/reference/android/service/notification/NotificationListenerService.html.
2. Googles Activity Recognition Application. http://developer.android.com/training/location/activity-recognition.htmll.
3. Adamczyk, P. D., and Bailey, B. P. If not now, when?: The effects of interruption at different moments within task execution. In CHI04 (April 2004).
4. Bailey, B. P., and Konstan, J. A. 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.
5. Bailey, B. P., Konstan, J. A., and Carlis, J. V. Measuring the effects of interruptions on task performance in the user interface. In SMC00 (October 2000).
6. Clark, H. H. Using language, vol. 1996. Cambridge University Press Cambridge, 1996.
7. Consolvo, S., McDonald, D. W., Toscos, T., Chen, M. Y., Froehlich, J., Harrison, B., Klasnja, P., LaMarca, A., LeGrand, L., Libby, R., et al. Activity Sensing in the Wild: A Field Trial of UbiFit Garden. In CHI08 (April 2008).
8. Cutrell, E., Czerwinski, M., and Horvitz, E. Notification, disruption, and memory: Effects of messaging interruptions on memory and performance. In Interact01 (July 2001).
9. Czerwinski, M., Cutrell, E., and Horvitz, E. Instant messaging and interruption: Influence of task type on performance. In OZCHI00 (November 2000).
10. Fischer, J. E., Greenhalgh, C., and Benford, S. Investigating episodes of mobile phone activity as indicators of opportune moments to deliver notifications. In MobileHCI11 (September 2011).
11. Fischer, J. E., Yee, N., Bellotti, V., Good, N., Benford, S., and Greenhalgh, C. Effects of content and time of delivery on receptivity to mobile interruptions. In MobileHCI10 (September 2010).
12. Grandhi, S. A., and Jones, Q. Conceptualizing interpersonal interruption management: A theoretical framework and research program. In HICSS09 (January 2009).
13. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., and Witten, I. H. The weka data mining software: An update. ACM SIGKDD Explorations Newsletter 11, 1 (2009), 10-18.
14. Heinonen, K., and Strandvik, T. Consumer responsiveness to mobile marketing. In Stockholm Mobility Roundtable (May 2003).
15. Ho, J., and Intille, S. S. Using Context-Aware Computing to Reduce the Perceived Burden of Interruptions from Mobile Devices. In CHI05 (April 2005).
16. Iqbal, S. T., and Horvitz, E. Notifications and awareness: A field study of alert usage and preferences. In CSCW10 (February 2010).
17. Lathia, N., Rachuri, K. K., Mascolo, C., and Roussos, G. Open Source Smartphone Libraries for Computational Social Science. In MCSS13 (September 2013).
18. Lee, K., Flinn, J., and Noble, B. The case for operating system management of user attention. In HotMobile15 (February 2015).
19. Lu, H., Pan, W., Lane, N. D., Choudhury, T., and Campbell, A. T. SoundSense: Scalable Sound Sensing for People-centric Applications on Mobile Phones. In MobiSys09 (Krakow, Poland, June 2009).
20. McFarlane, D. C., and Latorella, K. A. The scope and importance of human interruption in human-computer interaction design. Human-Computer Interaction 17, 1 (2002), 1-61.
21. Mehrotra, A., Pejovic, V., and Musolesi, M. SenSocial: A Middleware for Integrating Online Social Networks and Mobile Sensing Data Streams. In Middleware14 (December 2014).
22. Miyata, Y., and Norman, D. A. Psychological issues in support of multiple activities. User centered system design: New perspectives on human-computer interaction (1986), 265-284.
23. Monk, C. A., Boehm-Davis, D. A., and Trafton, J. G. The attentional costs of interrupting task performance at various stages. In HFES02 (October 2002).
24. Pejovic, V., and Musolesi, M. Interruptme: designing intelligent prompting mechanisms for pervasive applications. In UbiComp14 (Seattle, WA, USA, September 2014).
25. Pielot, M., Church, K., and de Oliveira, R. An in-situ study of mobile phone notifications. In MobileHCI14 (September 2014).
26. Pielot, M., de Oliveira, R., Kwak, H., and Oliver, N. Didnt you see my message?: predicting attentiveness to mobile instant messages. In CHI14 (April 2014).
27. Rettie, R., Grandcolas, U., and Deakins, B. Text Message Advertising: Response Rates and Branding Effects. Journal of Targeting, Measurement and Analysis for Marketing 13, 4 (2005), 304-312.
28. Sahami Shirazi, A., Henze, N., Dingler, T., Pielot, M., Weber, D., and Schmidt, A. Large-scale assessment of mobile notifications. In CHI14 (April 2014).
29. Speier, C., Vessey, I., and Valacich, J. S. The effects of interruptions, task complexity, and information presentation on computer-supported decision-making performance. Decision Sciences 34, 4 (2003), 771-797.
30. Weiser, M., and Brown, J. S. The coming age of calm technology. Springer, 1997.
31. Xu, Y., Lin, M., Lu, H., Cardone, G., Lane, N., Chen, Z., Campbell, A., and Choudhury, T. Preference, context and communities: A multi-faceted approach to predicting smartphone app usage patterns. In ISWC13 (September 2013).
32. Zijlstra, F. R., Roe, R. A., Leonora, A. B., and Krediet, I. Temporal factors in mental work: Effects of interrupted activities. Journal of Occupational and Organizational Psychology 72, 2 (1999), 163-185.