DocumentCode :
3298696
Title :
The assessment of human/computer performance: a case for connectivity
Author :
Banks, W.W. ; Schultz, E.E. ; Crane, Edith
Author_Institution :
Lawrence Livermore Nat. Lab., California Univ., CA, USA
Volume :
2
fYear :
1988
fDate :
0-0 1988
Firstpage :
725
Lastpage :
731
Abstract :
Multiple logistics processing systems are evaluated using human productivity measures. Comparisons between these systems are made to determine which system produces: greater savings in task execution time; greater reduction in task errors; fewer task steps for task completion; and higher user satisfaction. Multiple assessment methods, including interviews, deterministic (task flow) analysis, and controlled field experimentation accompanied by statistical inferential testing, are used. Results indicate the superiority of the LOGDIS Intelligent Gateway Processing system with greater connectivity. The multiple evaluation methods yield convergent results, allowing greater confidence in the evaluation outcomes.<>
Keywords :
human factors; logistics data processing; performance evaluation; software portability; user interfaces; LOGDIS Intelligent Gateway Processing system; connectivity; controlled field experimentation; convergent results; deterministic analysis; evaluation outcomes; human productivity measures; human/computer performance assessment; interviews; multiple evaluation methods; multiple logistics processing systems; statistical inferential testing; system evaluation; task completion; task errors; task execution time; task steps; user satisfaction; Anthropometry; Computer aided software engineering; Computer performance; Humans; Laboratories; Logistics; Productivity; Testing; Time measurement; User interfaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences, 1988. Vol.II. Software Track, Proceedings of the Twenty-First Annual Hawaii International Conference on
Conference_Location :
Kailua-Kona, HI, USA
Print_ISBN :
0-8186-0842-0
Type :
conf
DOI :
10.1109/HICSS.1988.11872
Filename :
11872
Link To Document :
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