The introduction of information

technology based on digital computers for the

design of man-machine interface systems has led to

a requirement for consistent models of human

performance in routine task environments and

during unfamiliar task conditions. A discussion is

presented of the requirement for different types of

models for representing performance at the skill-,

rule-, and knowledge-based levels, together with a

review of the different ways in which information is

perceived at these different levels in terms of

signals signs, and symbols. Particular attention is

paid to the different possible ways of representing

system properties which underlie knowledge-based

performance and which can b characterized at

several levels of abstraction—from the

representation of physical form, through functional

representation, to representation in terms of

intention or purpose. Furthermore, the role of

qualitative and quantitative models in the design

and evaluation of interface systems is mentioned,

and the need to consider such distinctions carefully

is discussed

@article{rasmussen83, author = {Rasmussen, Jens}, title = {Skills, rules, and knowledge: signals, signs, and symbols, and other distinctions in human performance models}, journal = {IEEE Transactions on Systems, Man and Cybernetics}, year = {1983}, volume = {13}, number = {3}, pages = {257--266}, edition = {SMC-13}, url = {http://www.cs.toronto.edu/~nernst/papers/Rasmussen_-_SRK.pdf}, keywords = {framework cognition}, abstract = {The introduction of information technology based on digital computers for the design of man-machine interface systems has led to a requirement for consistent models of human performance in routine task environments and during unfamiliar task conditions. A discussion is presented of the requirement for different types of models for representing performance at the skill-, rule-, and knowledge-based levels, together with a review of the different ways in which information is perceived at these different levels in terms of signals signs, and symbols. Particular attention is paid to the different possible ways of representing system properties which underlie knowledge-based performance and which can b characterized at several levels of abstraction—from the representation of physical form, through functional representation, to representation in terms of intention or purpose. Furthermore, the role of qualitative and quantitative models in the design and evaluation of interface systems is mentioned, and the need to consider such distinctions carefully is discussed} }

%0 = article %A = Rasmussen, Jens %D = 1983 %T = Skills, rules, and knowledge: signals, signs, and symbols, and other distinctions in human performance models %U = http://www.cs.toronto.edu/~nernst/papers/Rasmussen_-_SRK.pdf