|
ABSTRACT
Users tend to learn and use system functions and mechanisms through interacting with devices without referring to manuals or task instructions. In this exploratory behavior, a user's non-planned, opportunistic interaction activity is guided by the user's current knowledge and the system's responses. The user's interaction reasoning is bidirectional, including both top-down and bottom-up search processes. A top-down search is usually task-based and a bottom-up search is predominantly device-oriented. In this paper, we probe a method of cognitive modeling to account for the user's exploratory behavior. This cognitive model includes the user's prior knowledge of declarative knowledge, procedural knowledge, and meta-knowledge. Declarative knowledge concerns the characteristics and structures of tasks and interfaces. Procedural knowledge more directly affects the selection of the operations and sequences during exploration. Meta-knowledge is the knowledge that guides the use of the user's task knowledge and interface knowledge. Through user observations, we analyzed users' opportunistic behavior while interacting with two convergence devices, and elicited the users' prior knowledge utilized during the exploration.
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
|
Anderson, J. R., Rules of the mind, Hillsdale, NJ: Lawrence Erlbaum Associates, Inc. (1993).
|
 |
2
|
|
 |
3
|
|
| |
4
|
Howes, A., and Young, R. M., Learning consistent, interactive and meaningful task-action mappings: A computational model. Cognitive Science, 20, (1996), 301--356.
|
| |
5
|
Kintsch, W., The role of knowledge in discourse comprehension: A construction-integration model, Psychological Review, 95, (1988), 63--182
|
| |
6
|
|
| |
7
|
May, J., and Barnard, P. J., The case for supportive evaluation during design, Interacting with Computers, 7(2), (1995), 115--143.
|
| |
8
|
May, J., and Barnard, P. J., Cognitive Tasks Analysis in Interaction Cognitive Subsystems, Diaper, D., and Stanton. N. A. (Ed.), the Handbook of Task Analysis for Human-Computer Interaction. Mahwa, NJ: Lawrence Erlbaum Associates, (2004), 291--325.
|
| |
9
|
|
| |
10
|
Polson, P. G., and Lewis, C. H., Theory-based design for easily learned interfaces, Human-Computer Interaction, 5, (1990), 191--220.
|
| |
11
|
|
| |
12
|
|
| |
13
|
|
| |
14
|
Yoon W. C., Park J., and Lee, S. H., A Diagrammatic model for representing user's interface knowledge of task procedures. Proc. Cognitive Systems Engineering in Process Control, (1996), 276--285.
|
| |
15
|
Yoon, W. C., Identifying, organizing and exploring problem space for interaction design, 8th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, (2001), 81--86.
|
| |
16
|
Visser, W., Use of episodic knowledge and information in design problem solving, In N. Cross, H. Christiaans, and K. Dorst (Ed.), Analysing Design Activity, New York: Wiley (1996), 271--289.
|
|