Delta: A tool for representing and comparing workflows

Conference on Human Factors in Computing Systems - Proceedings

Volumn , Issue , 2012, Pages 1027-1036

  Kong, Nicholas ^a,b   Grossman, Tovi ^a   Hartmann, Björn ^b   Fitzmaurice, George ^a   Agrawala, Maneesh ^b  

^a AUTODESK RESEARCH   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Delta; Search interfaces; Tutorials; Workflow comparison

Indexed keywords

DELTA; INFORMATION DENSITY; INTERACTIVE WORKFLOW; SEARCH INTERFACES; TUTORIALS; WORK-FLOWS; WORKFLOW COMPARISON;

SOFTWARE AGENTS; VISUALIZATION;

HUMAN ENGINEERING;

EID: 84862105721     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2207676.2208549     Document Type: Conference Paper

References (25)

1. Andrews, K., Wohlfahrt, M., and Wurzinger, G. Visual Graph Comparison. Info. Vis., pp. 62-67, 2009.
2. Bederson, B., Shneiderman, B., and Wattenberg, M. Ordered and quantum treemaps: Making effective use of 2D space to display hierarchies. ACM Trans. Graph, 21(4):833-854, 2002.
3. Chen, H.-T., Wei, L.-Y. and Chang, C.-F. Nonlinear Revision Control for Images. ACM Trans. Graph, 30(4), Article 105, 2011.
4. Chi, E. H., Pirolli, P., Chen, K., and Pitkow, J. Using information scent to model user information needs and actions and the Web. ACM CHI, pp. 490-497, 2001.
5. Chi, E., Pirolli, P., and Pitkow, J. The scent of a site: a system for analyzing and predicting information scent, usage, and usability of a Web site. ACM CHI, pp. 161-168, 2000.
6. Cutrell, E. and Guan Z. What are you looking for?: an eye-tracking study of information usage in web search. ACM CHI. pp. 407-416. 2007.
7. Cutting, D., Karger, D., Pedersen, J., and Tukey, J. Scatter/Gather: a cluster-based approach to browsing large document collections. SIGIR. pp. 318-329. 1992.
8. Denning, J. D., Kerr, W. B., and Pellacini, F. MeshFlow: Interactive Visualization of Mesh Construction Sequences. ACM Trans. Graph, 30(4), Article 66, 2011.
9. Dorn, B. and Guzdial, M. Learning on the job: characterizing the programming knowledge and learning strategies of web designers. ACM CHI, pp. 703-712. 2010.
10. Grabler, F., Agrawala, M., Li, W., Dontcheva, M. and Igarashi, T. Generating Photo Manipulation Tutorials by Demonstration. SIGGRAPH. pp. 66:1-66:9, 2009.
11. Grossman, T., Matejka, J. and Fitzmaurice, G. Chronicle: Capture, Exploration, and Playback of Document Workflow Histories. UIST, pp. 143-152, 2010.
12. Grossman, T., Fitzmaurice, G. and Attar, R. A Survey of Software Learnability: Metrics, Methodologies and Guidelines. ACM CHI, pp. 649-658, 2009.
13. Guan. Z., and Cutrell, E. An eye tracking study of the effect of target rank on web search. ACM CHI, pp. 417-420, 2007.
14. Hearst, M. Search User Interfaces (1st ed.). Cambridge University Press, New York, NY, USA. 2009.
15. Heer, J., Mackinlay, J., Stolte, C. and Agrawala, M. Graphical Histories for Visualization: Supporting Analysis, Communication, and Evaluation. IEEE TVCG, pp. 1189-1196, 2008.
16. Jing, F. Wang, W., Yao, Y., Deng, K., Zhang, L., and Ma, W.-Y. IGroup: web image search results clustering. ACM Multimedia, pp. 377-384, 2006.
17. Koop, D., Scheidegger, C., Callahan, S., Freire, J., and Silva, C. VisComplete: Automating Suggestions for Visualization Pipelines. IEEE TVCG, pp. 1691-1698, 2008.
18. Kurlander, D.,and Feiner, S. Editable graphical histories. IEEE Visual Languages, pp. 127-134, 1988.
19. LaFreniere, B., Bunt, A., Lount, M., Krynicki, F., and Terry, M. AdaptableGIMP: designing a sociallyadaptable interface. UIST Adjunct, pp. 89-90. 2011.
20. Lee, B., Srivastava, S., Kumar, R., Brafman, R., and Klemmer, S. Designing with Interactive Example Galleries. ACM CHI, pp. 2257-2266, 2010.
21. Nakamura, T. and Igarashi, I. An applicationindependent system for visualizing user operation history. UIST, pp. 23-32, 2008.
22. Pirolli, P. and Card, S. Information foraging. Psychological Review, 106(4):643-675, 1999.
23. Santos, E., Lins, L., Ahrens, J., Freire, J., and Silva, C. A first study on clustering collections of workflow graphs. IPAW, pp. 160-173, 2008.
24. Sorokin, A. and Forsyth, D. Utility data annotation with Amazon Mechanical Turk. CVPRW, pp.1-8, 2008.
25. Wagner, R. and Fischer, M. The String-to-String Correction Problem. J. ACM, 21(1):168-173, 1974.