Getting around the task-artifact cycle: how to make claims and design by scenario
ACM Transactions on Information Systems (TOIS)
Issues of expert flexibility in contexts characterized by complexity and change
Expertise in context
Smart machines in education
Understanding Computers and Cognition: A New Foundation for Design
Understanding Computers and Cognition: A New Foundation for Design
Work-arounds, Make-work, and Kludges
IEEE Intelligent Systems
Toward a Theory of Complex and Cognitive Systems
IEEE Intelligent Systems
IEEE Intelligent Systems
The law of stretched systems in action: exploiting robots
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Making Sense of Sensemaking 1: Alternative Perspectives
IEEE Intelligent Systems
Making Sense of Sensemaking 2: A Macrocognitive Model
IEEE Intelligent Systems
Better Perception of 3D-Spatial Relations by Viewport Variations
VISUAL '08 Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
ESAW'06 Proceedings of the 7th international conference on Engineering societies in the agents world VII
Benefits of matching domain structure for planning software: the right stuff
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Causal reasoning: initial report of a naturalistic study of causal inferences
NDM'09 Proceedings of the 9th Bi-annual international conference on Naturalistic Decision Making
Naturalistic investigations and models of reasoning about complex indeterminate causation
Information-Knowledge-Systems Management - Complex Socio-Technical Systems --Understanding and Influencing Causality of Change
| Hi-index | 0.00 |
When faced with complex tasks and information, people sometimes deal with the complexity through oversimplification, which can lead to misconception and faulty knowledge application. This has serious implications for cognitive engineers designing complex sociotechnical systems.