What is it about?
Uses Cognitive Work Analysis to explore different degrees of automation. Examples from the context of financial trading. Shows functional allocation to automation, and how automation can handle information processing tasks.
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Why is it important?
The Decision Ladder provides a refinement of the Parasuraman stages of automation. It has the same information processing origin but parses the processing stages with more differentiation. These are also the first CWA models in algorithmic financial trading, focusing on the function and role of algorithms.
Perspectives
This is the core modeling behind Yeti Li's Ph.D. work. The Decision Ladder approach is very useful to begin to understand the interaction with automation better. Algorithmic trading presents a complex data driven domain with very flexible automation strategies and motivated this work.
Dr Catherine M Burns
University of Waterloo
Read the Original
This page is a summary of: Modeling Automation With Cognitive Work Analysis to Support Human-Automation Coordination, Journal of Cognitive Engineering and Decision Making, May 2017, SAGE Publications,
DOI: 10.1177/1555343417709669.
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