วิศวกรรมการรับรู้ Cognitive engineering is a multidisciplinary endeavor concerned with the analysis, design, and evaluation of complex systems of people and technology. It combines knowledge and experience from cognitive science, human factors, human-computer interaction design, and systems engineering.
As the figure below shows, the methods of Cognitive Engineering are quite diverse. Certain methods aim to get an understanding of users and tasks by constructing quantitative models of expert reasoning. Other methods focus on documenting the key decisions made in the domain and the information required to make those decisions. The aim is to develop systems that support cognitive functions such as problem solving, planning, decision making, perception, memory, situation assessment, monitoring, and prioritizing. Question that drive design and are addressed by methods of Cognitive Engineering include:
- What are the goals and constraints of the application domain?
- What range of tasks do domain practitioners perform?
- What strategies do the use to perform these tasks today?
- What factors contribute to task complexity?
- What tools can be provided to facilitate the work of domain practitioners and achieve their goals more effectively.
1. John R. Gersh, Jennifer A. McKneely, and Roger W. Remington, Johns Hopkins APL Technical Digest, Volume 26, Number 4 (2005)
2. Roth, E. M., Patterson, E. S., & Mumaw, R. J. Cognitive Engineering: Issues in User-Centered System Design. In J.J. Marciniak, Ed. Encylopedia of Software Engineering(2nd Edition). NY: John Wiley and Sons. Describes the use of CTA, CWA, ACWA, and computational cognitive modeling in the design of user-centered systems. [View or Download: From Source / Local Copy]
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