ACM Home Page
Please provide us with feedback. Feedback
Mnemonic rendering: an image-based approach for exposing hidden changes in dynamic displays
Full text AviAvi (23:00),  FlvFlv (23:00),  PdfPdf (1.09 MB)
Source Symposium on User Interface Software and Technology archive
Proceedings of the 19th annual ACM symposium on User interface software and technology table of contents
Montreux, Switzerland
SESSION: Clever renditions table of contents
Pages: 159 - 168  
Year of Publication: 2006
ISBN:1-59593-313-1
Authors
Anastasia Bezerianos  University of Toronto
Pierre Dragicevic  University of Toronto
Ravin Balakrishnan  University of Toronto
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): ,   Downloads (12 Months): ,   Citation Count: 5
Additional Information:

appendices and supplements   abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1166253.1166279
What is a DOI?

APPENDICES and SUPPLEMENTS
Zipp159-slides.zip (17.90 MB),
Supplemental material for Mnemonic rendering: an image-based approach for exposing hidden changes in dynamic displays


ABSTRACT

Managing large amounts of dynamic visual information involves understanding changes happening out of the user's sight. In this paper, we show how current software does not adequately support users in this task, and motivate the need for a more general approach. We propose an image-based storage, visualization, and implicit interaction paradigm called mnemonic rendering that provides better support for handling visual changes. Once implemented on a system, mnemonic rendering techniques can benefit all applications. We explore its rich design space and discuss its expected benefits as well as limitations based on feedback from users of a small-screen and a wall-size prototype.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Banbury, B. and Tremblay, S., eds. (2004). A cognitive approach to situation awareness: theory and application. Ashgate.
 
2
Baudisch, P., Cutrell, E., and Robertson, G. (2003). High-density cursor: A visualization technique that helps users keep track of fast-moving mouse cursors. Interact. p. 236--243.
3
4
5
6
7
 
8
Cockburn, A., Greenberg, S., Jones, S., McKenzie, B., and Moyle, M. (2003). Improving web page revisitation: Analysis, design and evaluation. Special Issue on Web Navigation Skills, IT & Society, 3(1). p. 159--183.
9
 
10
Endsley, M., Bolté, B., and Jones, D. (2003). Designing for situation awareness: CRC.
 
11
Freeman, E. and Fertig, S. (1995). Lifestreams: Organizing your electronic life. AAAI Fall Symposium: AI Applications in Knowledge Navigation and Retrieval.
12
 
13
Hunt, A. R. and Andkingstone, A. (2003). Covert and overt voluntary attention: linked or independent? Cognitive Brain Research, 18. p. 102--105.
14
 
15
 
16
Itti, L., Rees, G., and Tsotsos, J., eds. (2005). Neurobiology of attention. Elsevier.
 
17
Jacob, R. J. K. (1993). Eye-movement-based human-computer interaction techniques: Toward non-command interfaces. In Advances in Human-Computer Interaction, D. Hix, Editor. Ablex. chapter 6. p. 151--190.
 
18
 
19
Kawasaki, Y. and Igarashi, T. (2004). Regional undo for spreadsheets. ACM UIST Symposium on User Interface Software and Technology. Demo abstract.
20
 
21
Mertz, C., Chatty, S., and Vinot, J. (2000). Pushing the limits of ATC user interface design beyond S&M interaction: the DigiStrips experience. 3rd USA/Europe Air Traffic Management R&D Seminar.
22
23
 
24
Renaud, K. (2000). Expediting rapid recovery from interruptions by providing a visualization of application activity. OZCHI. p. 348--355.
 
25
Rensink, R. A. (2002). Change detection. Annual Review of Psychology, 53. p. 245--277.
26
 
27
Salembier, P. and Marques, F. (1999). Region-based representations of image and video: Segmentation tools for multimedia services. IEEE Transactions on Circuits and Systems for Video Technology, 9(8). p. 1147--1169.
28
29
 
30
 
31
Tomitsch, M. (2003). Trends and evolution of window interfaces. Thesis, University of Technology: Vienna.
32
 
33
Varakin, D. A. and Levin, D. T. (2004). Unseen and unaware: Implications of recent research on failures of visual awareness for human-computer interface design. Human-Computer Interaction, 19. p. 389--422.
 
34
Venolia, G. D., Dabbish, L., Cadiz, J. J., and Gupta, A. (2001). Supporting email Workflow. Tech Report MSR-TR-2001-88. Microsoft Research.
35
 
36
37
38
 
39
Woods, D. D. and Watts, J. C. (1997). How not to have to navigate through too many displays. In Handbook of Human-Computer Interaction. Elsevier Science.


Collaborative Colleagues:
Anastasia Bezerianos: colleagues
Pierre Dragicevic: colleagues
Ravin Balakrishnan: colleagues