Facility for Cognitive Engineering Research on Team Tasks (CERTT)

1998 ◽  
Author(s):  
Nancy J. Cooke ◽  
Steven M. Shope
Author(s):  
Kim J. Vicente

Following the theme for this year's conference, this paper contributes to ongoing discussions defining the future of cognitive engineering research by examining a part of its past. The history of one particular line of research, that of the Electronics Department at Risø National Laboratory, is reviewed. A number of important studies, conducted between 1962 and 1979, are briefly described. Among these are operational experience acquired from the introduction of a prototype digital console in a nuclear research reactor, two field studies of professional operators conducting representative tasks in representative settings (electronic trouble-shooting and conventional power plant control), and analyses of over 645 human error reports in the nuclear and aviation industries. Some of the themes characterizing the Risø research program in cognitive engineering are briefly summarized. These themes help define what cognitive engineering is, and what it might be concerned with in the future.


Author(s):  
Penelope M. Sanderson

This paper outlines the need for better conceptual and methodological tools for performing observational data analysis in support of cognitive engineering research and practice and presents a tool, MacSHAPA, that has been designed to support such work. MacSHAPA is particularly suited for cognitive engineering studies of complex real-world decisionmaking. MacSHAPA lets users (1) enter or import data into a spreadsheet-like viewing medium, (2) annotate, manipulate, and visualize data in various ways, (3) carry out statistical analyses of various kinds, and (4) export data and results to other applications. MacSHAPA controls video devices, capturing timecode and inserting it into the database, and using timestamps in the database to locate events of interest on videotape. MacSHAPA's statistical routines include content and duration analysis, transition analysis (with some Markov statistics), lag sequential analysis, cycles reports, and some kinds of sequential pattern matching. The paper concludes with several examples of how MacSHAPA has been used to obtain useful results from observational data collected in laboratory and field settings.


Author(s):  
Alex Kirlik

This discussion panel will consider whether the time is right for a cognitive engineering textbook and what the ideal specifications for such a text would be. Courses in this area are typically taught using either one of various books focused on a particular approach or perspective, or else multiple books or articles that aim at somewhat broader coverage. The panelists are recognized leaders in cognitive engineering research and education at universities and industry. One important focus of the discussion will be whether the field has matured to a point where some of the barriers that have contributed to the difficulty of creating such a book can now be overcome. These include the need for a systematic and coherent integration and orderly presentation of material in the style required for a true textbook, and a shared or convincing definition of the scope of the field.


Sign in / Sign up

Export Citation Format

Share Document