Data/hora: 10/05/2024 04:08:10

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	02/12/1998	
Data da última atualização: 	05/04/2019	
Autoria: 	PAYNE, S. J.; GREEN, T. R. G.	
Afiliação: 	STEPHEN J. PAYNE, University of Lancaster; MRC Applied Psychology Unit.	
Título: 	Task-action grammars: a model of the mental representation of task languages.	
Ano de publicação: 	1986	
Fonte/Imprenta: 	Human-Computer Interactions, v. 2, p. 93-133, 1986.	
Idioma: 	Inglês	
Conteúdo: 	A formal model of the mental representation of task languages is presented. The model is a metalanguage for defining task-action grammars (TAG): generative grammars that rewrite simple tasks into action specifications. Important features of the model are (a) Identification of the "simple-tasks" that users can perform routinely and that require no control structure; (b) Representation of simple-tasks by collections of semantic components reflecting a categorization of the task world; (c) Marking of tokens in rewrite rules with the semantic features of the task world to supply selection restrictions on the rewriting of simple-tasks into action specifications. This device allows the representation of family resemblances between individual task-action mappings. Simple complexity metrics over task-action grammars make predictions about the relative learnability of different task language designs. Some empirical support for these predictions is derived from the existing empirical literature on command language learning, and from two unreported experiments. Task-action grammars also provide designers with an analytic tool for exposing the configural properties of task languages.	
Palavras-Chave: 	Gramática; Mental representation of task languages; Metalinguagem; Task-action grammars.	
Categoria do assunto: 	--	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (7385-1) - ADC - SP - PP -  -  - 1998.00019 - DES
CNPTIA - (7385-2) - ADC - AP - DD -  -  -  - DIS