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Designing automation for human use : empirical studies and quantitative models

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Tag12Value
LDR  00000nab a2200000 i 4500
001  MAP20071501801
003  MAP
005  20220911192958.0
008  010824e20000701gbr|||| | |00010|eng d
040  ‎$a‎MAP‎$b‎spa
084  ‎$a‎875
1001 ‎$0‎MAPA20080202712‎$a‎Parasuraman, Raja
24510‎$a‎Designing automation for human use‎$b‎: empirical studies and quantitative models‎$c‎Raja Parasuraman
5208 ‎$a‎An emergencing knowledge based of human performance research can provide guidelines for designing automation that can be used effectively by human operators of complex systems. Which functions should be automated and to what extend in a given system? A model for types and levels of automation that provides a framework and an objetive basis for making such choices is described. The human performance consequences of particular types and levels of automation constitute primary evaluative criteria for automation design when workload, situation awareness, complacency and skill degradation. Secondary evaluative criteria include such factors as automation reliability, the risks of decision/action consequences and the ease of systems integration. In addition to this qualitative approach, quantitative models can inform design. Several computational and formal models of human interaction with automation that have been proposed by various researches are reviewed. An important future research need is the integration of qualitative and quantitative approaches. Application of these models provides an objective basis for designing automation for effective human use.
65011‎$0‎MAPA20080550653‎$a‎Ergonomía
65001‎$0‎MAPA20080580100‎$a‎Diseño ergonómico
65001‎$0‎MAPA20080568009‎$a‎Automatización
65011‎$0‎MAPA20080565626‎$a‎Factor humano
65011‎$0‎MAPA20080608637‎$a‎Sistema hombre-máquina
7730 ‎$d‎London [etc.]‎$g‎Vol. 43 nº 7, July 2000 ; p. 931-951‎$t‎Ergonomics