Human-Centered Computing The Sacagawea Principle Mica Endsley, SA Technologies (2008)
Robert R. Hoffman, Machine Cognition, R. Hoffman, Patrick J. Hayes, Kenneth M. Ford
Many software tools and systems restrict the availability of information and make information integration and exploration difficult. 1 Poorly designed tools are often brittle, because they prescribe...
Paul J. Feltovich, Robert R. Hoffman, Machine Cognition, David Woods, Axel Roesler, R. Hoffman, ...
Certain features of tasks make them especially difficult for humans. These constitute leverage points for applying intelligent technologies, but there’s a flip side. Designing complex cognitive...
Human-Centered Computing Toward a Theory of Complex and Cognitive Systems (2008)
Robert R. Hoffman, Machine Cognition, David D. Woods, R. Hoffman, Patrick J. Hayes, Kenneth M. Ford
Essays in this department have presented nine propositions that we’ve referred to as principles of humancentered computing: • The Aretha Franklin Principle: Do not devalue the human in order to...
Human-Centered Computing The Pleasure Principle (2008)
Robert R. Hoffman, Patrick J. Hayes, Machine Cognition, R. Hoffman, Patrick J. Hayes, Kenneth M. Ford
The list of “concepts that psychology really can’t do without ” includes such notions as neuronal connectionism, degrees of consciousness, mental representation of information, and...
Human-Centered Computing The Boiled Frog Problem (2008)
Robert R. Hoffman, Machine Cognition
They say that a frog placed in boiling water will protest vigorously, but one placed in cool water that is slowly brought to a boil will languish happily until it is ready to be a puree. We use this...
Editor Blurb Editor Blurb continued Email address Human-Centered Computing (2008)
Gary Klein, Karol G. Ross, Brian M. Moon, Klein Associates, Devorah E. Klein, Insight Product Development, ...
If we engineer complex cognitive systems on the basis of mistaken or inappropriate views of cognition, we can wind up designing systems that degrade performance rather than improve it. The results...
Human-Centered Computing Work-arounds, Make-work, and Kludges (2007)
Philip Koopman, Robert R. Hoffman, Machine Cognition, R. Hoffman, Patrick J. Hayes, Kenneth M. Ford
Paradigms are often defined partly in terms of what they are not, or in terms of what they are reacting against. The paradigm of human-centered computing is no exception. In response to an essay in...
"googling" From A Concept Map: Towards Automatic Concept-Map-Based Query Formation (2004)
David Leake, Ana Maguitman, Thomas Reichherzer, Alberto Canas, J. D. Novak, F. M. González, ...
Electronic concept mapping tools provide a flexible vehicle for constructing concept maps, linking concept maps to other concept maps and related resources, and distributing concept maps to others....
Mining The Web To Suggest Concepts During . . . (2004)
Alberto Canas, J. D. Novak, F. M. González, Alberto J. Cañas, Marco Carvalho, Marco Arguedas, ...
The most challenging aspect of constructing a concept map is not coming up with the list of concepts to include, but linking the concepts into meaningful propositions to create a coherent structure...
Frank C. Wimberly, Machine Cognition, Thomas Heiman
After reviewing theoretical reasons for doubting that statistical/machine learning methods can accurately infer gene regulatory networks from expression measures, we test 10 algorithms on simulated...
Glymour: Linearity properties of Bayes nets with binary variables (2001)
David Danks, Machine Cognition
It is “well known ” that in linear models: (1) testable constraints on the marginal distribution of observed variables distinguish certain cases in which an unobserved cause jointly influences...