The Effect of Information Display Format on Malfunction Detection

碩士 === 國立交通大學 === 工業工程研究所 === 83 === The purpose of this study was to investigate the effect of information display format on the performance of three malfunction detection task.It aimed to examine which type of display format is suitable f...

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Bibliographic Details
Main Authors: Huang Chia Der, 黃佳德
Other Authors: Shang Hwa Hsu
Format: Others
Language:zh-TW
Published: 1995
Online Access:http://ndltd.ncl.edu.tw/handle/44556577971932507431
Description
Summary:碩士 === 國立交通大學 === 工業工程研究所 === 83 === The purpose of this study was to investigate the effect of information display format on the performance of three malfunction detection task.It aimed to examine which type of display format is suitable for different kinds of tasks. The experiment sample consisted of 36 university and gra- duate students.By using split-plot repeated measure design, subjects were randomly assigned to four blocks(i.e. alpha numeric display,bar display,object display,and mimic disp- lay)and all of them were asked to detect abnormality consis- ted of three different kind tasks ( i.e. simple rule based task , complex rule based task , and knowledge based task ).Before the experiment started,subjects has to learn rules and knowledge of the system. Then, subjects were instructed to perform the simulated monitoring task on PC.Subjects were tested for their performance with every system state,and response time along with its accuracy was recorded. The result showed that there was an effect of malfunction detection on dealing with different information display format .In terms of accuracy,the alpha numeric display perform worstor complex rule based task; bar display performs better on ru- le based task than on knowledge based task;object display and mimic display both perform best on simple rule-based task;Pu- tting the result in response time and accuracy together , theimic display is effective.The result indicated providing sys- tem state information in the format which is compatible with their task familiarity display can aid users in performing mal- function detection task.