ABSTRACT
We formulated a model of visual search by conducting a work flow study and task analysis of art directors as they searched for images to use in an advertisement. The analysis revealed the presence of artistic and image concepts, flexible structures which guide the search and are molded by them. Analysis results were used to build a model-based interface for visual search. Results from presenting the interface to users indicate that the interface has the potential to make significant contributions to the visual search task, both in time savings and as an aid to the creative process.
- 1.Ericsson, K.A. and Simon, H.A. Protocol Analysis: Verbal Reports as Data. MIT Press, Cambridge, Mass, 1984.Google Scholar
- 2.Fischer, G. and Stevens, C. Information Access in Complex, Poorly Structured Information Spaces. In CHI' 91 Human Factors in Computing Systems (New Orleans, Apr. 27-May 2, 1991), ACM Press, pp. 63-70. Google ScholarDigital Library
- 3.Garber, S.R. Managing Multimedia Information: A Description of Research. Paper presented at the 1991 Nebraska Interactive Media Symposium (Lincoln, May 6-May 9, 1991).Google Scholar
- 4.Garber, S.R., Kozak, D.J., Kruse, J.M., and Clare, M.K. Intelligent optical navigator dynamic information presentation and navigation system. U.S. Patent 4,905,163 (Feb., 1990).Google Scholar
- 5.Hodges, M.E., Sasnett, R.M., and Ackerman, M.S. A construction set for multimedia applications. IEEE Software (Jan. 1989), 37-43. Google ScholarDigital Library
- 6.Johnson, P.E. Cognitive Models of Expertise. Paper presented at the Symposium on Expert Systems and Auditor Judgement (University of Southern California, Feb. 1986).Google Scholar
- 7.Johnson-Laird, P. Mental Models. Harvard University Press, Cambridge, Mass., 1983.Google Scholar
- 8.Kato, T., Kurita, T., and Shimogaki, H. Multimedia interaction with image database systems. SIGCHI Bulletin 22,1 (July, 1990), 52-54. Google ScholarDigital Library
- 9.Laurel, B., Oren, T., and Don, A. Issues in Multimedia Interface Design: Media Integration and Interface Agents. In CHI '90 Human Factors in Computing Systems (Seattle, Apr. 1-5, 1990), ACM Press, pp. 133-139. Google ScholarDigital Library
- 10.Srinivason, P. The importance of rough approximations for information retrieval. International Journal of Man- Machine Studies 34,5 (May 1991), 657-671. Google ScholarDigital Library
- 11.Williams, M.D. What makes RABBIT run? International Journal of Man-Machine Studies 21 (1984), 333-352. Google ScholarDigital Library
- 12.Yen, J., Neches, R., and DeBellis, M. Specification by Reformulation: A Paradigm for Building Integrated User Support Environments. In AAAI '88 Conference on Artificial Intelligence (St. Paul, Aug. 21-26, 1988), Morgan Kaufman Publishers, pp. 814-818.Google Scholar
Index Terms
- The art of search: a study of art directors
Recommendations
Exploring the relationships between work task and search task in information search
To provide a basis for making predictions of the characteristics of search task (ST), based on work task (WT), and to explore the nature of WT and ST, this study examines the relationships between WT and ST (inter-relationships) and the relationships ...
Eye tracking the visual search of click-down menus
CHI '99: Proceedings of the SIGCHI conference on Human Factors in Computing SystemsClick-down (or pull-down) menus have long been a key component of graphical user interfaces, yet we know surprisingly little about how users actually interact with such menus. Nilsens [8] study on menu selection has led to the development of a number of ...
From user interface design to the support of intelligent and adaptive interfaces: an overhaul of user interface software infrastracture
Research on adaptive interfaces in the past has lacked support from user interface tools which allow interfaces to be easily created and modified. Also, current user interface tools provide no support for user models which can collect task-oriented ...
Comments