Understanding and developing models for detecting and differentiating breakpoints during interactive tasks

Conference on Human Factors in Computing Systems - Proceedings

Volumn , Issue , 2007, Pages 697-706

  Iqbal, Shamsi T ^a   Bailey, Brian P ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

Attention; Breakpoints; Interruption; Statistical models

Indexed keywords

HUMAN COMPUTER INTERACTION; LEARNING SYSTEMS; MATHEMATICAL MODELS; STATISTICAL METHODS;

INTERACTIVE TASKS; INTERRUPTION MANAGEMENT SYSTEMS; STATISTICAL MODELS; TASK EXECUTION DATA;

INTERACTIVE COMPUTER SYSTEMS;

EID: 35348878682     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1240624.1240732     Document Type: Conference Paper

References (29)

1. Adamczyk, P.D. and B.P. Bailey. If Not Now When? The Effects of Interruptions at Different Moments within Task Execution. CHI, 2004, 271-278.
2. Altheide, D.L. Qualitative Media Analysis. Sage, Newbury Park, CA, 1996.
3. Baeza-Yates, R.A. and B. Ribeiro-Neto Modern Information Retrieval. Addison-Wesley, Boston, 1999.
4. Bailey, B.P., P.D. Adamczyk, T.Y. Chang and N.A. Chilson. A Framework for Specifying and Monitoring User Tasks. Journal of Computers in Human Behavior, 22 (4), 2006, 685-708.
5. Bailey, B.P. and J.A. Konstan. On the Need for Attention Aware Systems: Measuring Effects of Interruption on Task Performance, Error Rate, and Affective State. Journal of Computers in Human Behavior, 22 (4), 2006, 709-732.
6. Card, S., T. Moran and A. Newell The Psychology of Human-Computer Interaction. Lawrence Erlbaum Associates, Hillsdale, 1983.
7. Czerwinski, M., E. Cutrell and E. Horvitz. Instant Messaging: Effects of Relevance and Timing. People and Computers XIV: Proceedings of HCI, 2000, 71-76.
8. Czerwinski, M., E. Horvitz and S. Wilhite. A Diary Study of Task Switching and Interruptions. CHI, 2004, 175-182.
9. Dragunov, A.N., T.G. Dietterich, K. Johnsrude, M. McLaughlin, L. Li and J.L. Herlocker. Tasktracer: A Desktop Environment to Support Multi-Tasking Knowledge Workers. Proc. IUI, 2005, 75-82.
10. Fogarty, J., S.E. Hudson and J. Lai. Examining the Robustness of Sensor-Based Statistical Models of Human Interruptibility. CHI, 2004, 207-214.
11. Fogarty, J., A.J. Ko, H.H. Aung, E. Golden, K.P. Tang and S.E. Hudson. Examining Task Engagement in Sensor-Based Statistical Models of Human Interruptibility. CHI, 2005, 331-340.
12. Gonzalez, V.M. and G. Mark. "Constant, Constant, Multi-Tasking Craziness": Managing Multiple Working Spheres. CHI, 2004, 113-120.
13. Hall, M.A. Correlation-Based Feature Selection for Discrete and Numeric Class Machine Learning. Proceedings of the 17th International Conference on Machine Learning, 2000, 359-366.
14. Hanson, C. and W. Hirst. On the Representation of Events: A Study of Orientation, Recall, and Recognition. Journal of Experimental Psychology: General, 118(2), 1989, 136-147.
15. Henderson, A. and S.K. Card. Rooms: The Use of Multiple Virtual Workspaces to Reduce Space Contention in a Window-Based Graphical User Interface. ACM TOG, 5 (3), 1986, 211-243.
16. Ho, J. and S. Intille. Using Context-Aware Computing to Reduce the Perceived Burden of Interruptions from Mobile Devices. CHI, 2005, 909-918.
17. Horvitz, E., P. Koch and J. Apacible. Busybody: Creating and Fielding Personalized Models of the Cost of Interruption. CSCW, 2004, 507-510.
18. Iqbal, S.T. and B.P. Bailey. Investigating the Effectiveness of Mental Workload as a Predictor of Opportune Moments for Interruption. CHI, 2005, 1489-1492.
19. Iqbal, S.T. and B.P. Bailey. Leveraging Characteristics of Task Structure to Predict Costs of Interruption. CHI, 2006, 741-750.
20. John, B.E. and D.E. Kieras. The GOMS Family of User Interface Analysis Techniques: Comparison and Contrast. ACM TOCHI, 3 (4), 1996, 320-351.
21. Mark, G., V.M. Gonzalez and J. Harris. No Task Left Behind? Examining the Nature of Fragmented Work. CHI, 2005, 321-330.
22. Nair, R., S. Voida and E. Mynatt. Frequency-Based Detection of Task Switches. Proceedings of the 19th British HCI Group Annual Conference, 2005, 94-99.
23. Newtson, D. Attribution and the Unit of Perception of Ongoing Behavior. Journal of Personality and Social Psychology, 28 (1), 1973, 28-38.
24. Newtson, D. and G. Engquist. The Perceptual Organization of Ongoing Behavior. Journal of Experimental Social Psychology, 12, 1976, 436-450.
25. Newtson, D., G. Enquist and J. Bois. The Objective Basis of Behavior Units. Journal of Personality and Social Psychology, 35 (12), 1977, 847-862.
26. Rizzolatti, G., L. Fadiga, V. Gallese and L. Fogassi. Premotor Cortex and the Recognition of Motor Actions. Cognitive Brain Research, 3, 1996, 131-141.
27. Shen, J., L. Li, T. Dietterich and J. Herlocker. A Hybrid Learning System for Recognizing User Tasks from Desktop Activities and Email Messages. Proc. IUI, 2006, 86-92.
28. Zacks, J., B. Tversky and G. Iyer. Perceiving, Remembering, and Communicating Structure in Events. Journal of Experimental Psychology: General, 130 (1), 2001, 29-58.
29. Zacks, J.M. and B. Tversky. Event Structure in Perception and Conception. Psychological Bulletin, 127, 2001, 3-21.