Literature DB >> 15709332

Lessons from a comparison of work domain models: representational choices and their implications.

Catherine M Burns1, Ann M Bisantz, Emilie M Roth.   

Abstract

As methods in cognitive work analysis become more widely applied, questions regarding the impact of modeling choices and similarities in modeling efforts across projects and domains are increasingly relevant. However, no explicit comparison of models of similar systems has been reported. This paper compares independently developed work domain analysis (WDA) models of two command and control environments. Similarities in model content and the types of nodes included provide evidence that WDA techniques can capture fundamental elements regarding purposes and constraints. These points of agreement provide a common starting point for developing work domain representations of military command and control systems. The comparison also revealed differences between the models. Although differences in content reflected differences in scope of coverage and level of detail, other differences corresponded to more fundamental choices in modeling approach. These included the treatment of sensors, level of integration in the model, and representation of particular abstract constraints. Examination of these more fundamental differences pointed to important degrees of freedom in how to represent a WDA and clarified the implications of these modeling choices for guiding design. Actual or potential applications of this research include aiding analysts in making work domain modeling choices as well as producing work domain models of command and control environments.

Mesh:

Year:  2004        PMID: 15709332     DOI: 10.1518/hfes.46.4.711.56810

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  3 in total

1.  Assessment of Innovative Emergency Department Information Displays in a Clinical Simulation Center.

Authors:  Nicolette McGeorge; Sudeep Hegde; Rebecca L Berg; Theresa K Guarrera-Schick; David T LaVergne; Sabrina N Casucci; A Zachary Hettinger; Lindsey N Clark; Li Lin; Rollin J Fairbanks; Natalie C Benda; Longsheng Sun; Robert L Wears; Shawna Perry; Ann Bisantz
Journal:  J Cogn Eng Decis Mak       Date:  2015-12

Review 2.  Defining the methodological challenges and opportunities for an effective science of sociotechnical systems and safety.

Authors:  Patrick Waterson; Michelle M Robertson; Nancy J Cooke; Laura Militello; Emilie Roth; Neville A Stanton
Journal:  Ergonomics       Date:  2015-04-02       Impact factor: 2.778

3.  Modeling Automation With Cognitive Work Analysis to Support Human-Automation Coordination.

Authors:  Yeti Li; Catherine M Burns
Journal:  J Cogn Eng Decis Mak       Date:  2017-05-22
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.