Special Section: Contending with Complexity: Developing and Using a Scaled World in Applied Cognitive Research
Authors:
- 1 March 2000
- journal article
- Published by SAGE Publications in Human Factors: The Journal of the Human Factors and Ergonomics Society
- Vol. 42 (1) , 8-23
Abstract
Scaled worlds preserve certain functional relationships of a complex task environment while paring away others. The functional relationships preserved are defined by the questions of interest to the researcher. Different scaled worlds of the same task may preserve and pare away different functional relationships. In this paper we use the example of Ned to discuss the use of scaled worlds in applied cognitive research. Ned is based on a detailed cognitive task analysis of submarine approach officers as they attempt to localize an enemy submarine hiding in deep water. For Ned we attempted to preserve the functional relationships inherent in the approach officer's information environment while paring away other aspects of his task environment. Scaled worlds attempt to maintain the realism inherent in the preserved functional relationship while being tractable for the researcher and engaging to the participant.Keywords
This publication has 9 references indexed in Scilit:
- Microworlds for experimental research: Having your (control and collection) cake, and realism tooBehavior Research Methods, Instruments, & Computers, 1998
- An Assessment of Submarine Approach Officer Decision-Making and its Implications for Command Workstation Design1998
- A Comparison of Two Process Tracing Methods for Choice TasksOrganizational Behavior and Human Decision Processes, 1996
- VCR-As-Paradigm: a Study and Taxonomy of Errors in an Interactive Task1995
- Protocol Analysis1993
- Experiments with computer-simulated microworlds: Escaping both the narrow straits of the laboratory and the deep blue sea of the field studyComputers in Human Behavior, 1993
- Dynamic decision making: Human control of complex systemsActa Psychologica, 1992
- Making processes visible: Scaffolding learning with reasoning-congruent representationsLecture Notes in Computer Science, 1992
- Cognitive modeling and intelligent tutoringArtificial Intelligence, 1990