ACM Home Page
Please provide us with feedback. Feedback
Toward a definition of visual complexity as an implicit measure of cognitive load
Full text PdfPdf (2.95 MB)
Source
ACM Transactions on Applied Perception (TAP) archive
Volume 6 ,  Issue 2  (February 2009) table of contents
Article No. 10  
Year of Publication: 2009
ISSN:1544-3558
Authors
Simon Harper  University of Manchester, Manchester, UK
Eleni Michailidou  University of Manchester, Manchester, UK
Robert Stevens  University of Manchester, Manchester, UK
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 37,   Downloads (12 Months): 265,   Citation Count: 0
Additional Information:

abstract   references   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/10.1145/1498700.1498704
What is a DOI?

ABSTRACT

The visual complexity of Web pages is much talked about; “complex Web pages are difficult to use,” but often regarded as a subjective decision by the user. This subjective decision is of limited use if we wish to understand the importance of visual complexity, what it means, and how it can be used. We theorize that by understanding a user's visual perception of Web page complexity, we can understand the cognitive effort required for interaction with that page. This is important because by using an easily identifiable measure, such as visual complexity, as an implicit marker of cognitive load, we can design Web pages which are easier to interact with. We have devised an initial empirical experiment, using card sorting and triadic elicitation, to test our theories and assumptions, and have built an initial baseline sequence of 20 Web pages along with a library of qualitative and anecdotal feedback. Using this library, we define visual complexity, ergo perceived interaction complexity, and by taking these pages as “prototypes” and ranking them into a sequence of complexity, we are able to group them into: simple, neutral, and complex. This means we can now work toward a definition of visual complexity as an implicit measure of cognitive load.


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
2
 
3
Asakawa, C. and Lewis, C. 1998. Home page reader: IBM's talking web browser. In Proceedings of the Closing the Gap Conference.
 
4
Brambring, M. 1984. Mobility and orientation processes of the blind. In Electronic Spatial Sensing for the Blind, D. H. Warren and E. R. Strelow, Eds. Springer, New York, 493--508.
5
6
 
7
DRC. 2004. Disability rights commission. The web: Access and inclusion for disabled people. http://www.drcgb.org/publicationsandreports/2.pdf.
8
 
9
Fischer, S. 1996. Multimedia Authoring. Academic Press Professional, St. Louis, MO.
 
10
Fodor, J. and Lepore, E. 1996. The red herring and the pet fish: why concepts still can't be prototypes. Cognition 58, 2, 253--270.
 
11
Freedman, M. 1984. Eye movement communication systems for computer control. In Proceedings of the International Congress on Technology & Technology Exchange: Technology and the World Around Us. IEEE, Los Alamitos, CA, 34--35.
 
12
Friedman, A. 1979. Framing pictures: the role of knowledge in automatized encoding and memory for gist. J. Exper. Psych. Gen. 108, 316--355.
13
 
14
Germonprez, M. and Zigurs, I. 2003. Causal factors for web site complexity. Working Papers on Information Environments, Systems and Organizations 3.
15
16
 
17
Heaps, C. and Handel, C. H. 1999. Similarity and features of natural textures. J. Exper. Psych. Hum. Percept. Perform. 25, 299--320.
 
18
Henderson, J. M., Weeks, P. A., and Hollingworth, A. 1999. The effects of semantic consistency on eye movements during complex scene viewing. J. Exper. Psych. Hum. Percept. Perform. 1, 210--228.
 
19
Heylighen, F. 1997. The Growth of Structural and Functional Complexity during Evolution. Springer, New York.
 
20
 
21
22
23
 
24
Ivory, M. Y., Sinha, R. R., and Hearst, M. A. 2000. Preliminary findings on quantitative measures for distinguishing highly rated information-centric web pages. In Proceedings of 6th Conference on Human Factors and the Web.
25
26
 
27
28
 
29
Just, M. A. and Carpenter, P. A. 1980. A theory of reading: From eye fixations to comprehension. Psych. Rev. 87, 329--354.
 
30
Just, M. A. and Carpenter, P. A. 1987. The Psychology of Reading and Language Comprehension. Allyn and Bacon, Boston.
 
31
Kamp, H. and Partee, B. 1995. Prototype theory and compositionality. Cognition 57, 2, 129--191.
 
32
Krauss, K. 2004. Visual aesthetics and its effect on communication intent: a theoretical study and website evaluation. In Proceedings of the Southern African Computer Lecturers Association (SACLA).
 
33
 
34
Lie, H. W. and Bos, B. 1999. Cascading Style Sheets, level 1. WWW. http://www.w3.org/TR/CSS1.
 
35
Lohse, G. L. and Johnson, E. J. 1996. A comparison of two process tracing methods for choice tasks. Organizational Behav. Hum. Decision Processes 68, 1, 28--43.
 
36
McCarthy, J. D., Sasse, A. M., and Riegelsberger, J. 2003. Could I Have the Menu Please? An eye tracking study of design conventions. In Proceedings of the Conference on Human-Computer Interaction (HCI2003). Springer, New York, 8--12.
 
37
McConkie, G. W. and Currie, C. B. 1996. Visual stability across saccades while viewing complex pictures. J. Exper. Psych. Hum. Percept. Perform. 22, 3, 563--581.
 
38
Merriam-Webster. 2006. Merriam-webster online dictionary.
 
39
Muller-Brockmann, J. 1981. Grid Systems in Graphic Design. Stuttgart, Verlag Gerd Hatje.
 
40
Oliva, A. 2005. Gist of a Scene. In Neurobiology of Attention, Itti, L., Rees, G., and Tsotsos, J. K., Eds. Academic Press, St. Louis, MO, 251--256.
 
41
Oliva, A., Mack, M. L., Shrestha, M., and Peeper, A. 2004. Identifying the perceptual dimensions of visual complexity of scenes. In Proceedings of the 26th Annual Meeting of the Cognitive Science Society. Erlbaum, Mahwah, NJ.
 
42
Outing, S. and Ruel, L. 2006. Eyetrack III: What We Saw Through Their Eyes. A Project of the Poynter Institute. http://www.poynterextra.org/eyetrack2004/index.htm.
43
 
44
Potter, M. C. 1976. Short-term conceptual memory for pictures. J. Exper. Psych. Hum. Learn. Memory 2, 509--522.
 
45
Rayner, K. 1998. Eye movements in reading and information processing: 20 years of research. Psych. Bull. 124, 3, 372--422.
 
46
RNIB. 1996. A short guide to blindness. Booklet. http://www.rnib.org.uk.
 
47
Russo, E. J. and Leclerc, F. 1994. An eye-fixation analysis of choice processes for consumer nondurables. J. Consum. Res. 21, 2.
 
48
Sanders, M. G., Simmons, R. R., Andhoffman, M. A. 1979. Visual workload of the copilot/navigator during terrain flight. Hum. Factors 21, 2, 369--383.
 
49
Taylor, J. R., Smelser, N. J., and Baltes, P. B. 2001. Linguistics: Prototype Theory. Oxford University Press, Oxford, UK, 8954--8957.
 
50
Zettl, H. 1999. Sight, Sound, Motion: Applied Media Aesthetics. Wadsworth Publishing Company, Florence, KY.

Collaborative Colleagues:
Simon Harper: colleagues
Eleni Michailidou: colleagues
Robert Stevens: colleagues