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车载武器界面多任务下的目标辨识绩效
引用本文:薛庆,王萌,刘敏霞,洪玮博.车载武器界面多任务下的目标辨识绩效[J].科技导报(北京),2016,34(5):89-92.
作者姓名:薛庆  王萌  刘敏霞  洪玮博
作者单位:北京理工大学机械与车辆学院, 北京 100081
基金项目:总装武器装备预研基金项目(62301010102)
摘    要: 现代车载武器的人机界面包含大量信息,界面内容的合理排布有利于提高作战效率。为探索多任务下人的目标辨识绩效,设计了多任务作业模型,被试同时进行两项彼此独立的模拟任务,通过记录并分析不同位置下辨识目标的反应时间和正确率,为界面的科学设计提供依据。实验结果表明:人的目标辨识绩效受目标位置影响,在深灰色背景下多任务状态时,相比其他位置,左下方出现的目标在反应时间和正确率方面都有绝对优势,而右上方和右下方分别在正确率和反应时间上有所不足,可在3处安排不同重要程度的信息。

关 键 词:人机界面  多任务  目标位置  目标辨识  
收稿时间:2015-05-18

Target identification performance of multitasking vehicle-mounted weapon interface
XUE Qing;WANG Meng;LIU Minxia;HONG Weibo.Target identification performance of multitasking vehicle-mounted weapon interface[J].Science & Technology Review,2016,34(5):89-92.
Authors:XUE Qing;WANG Meng;LIU Minxia;HONG Weibo
Institution:School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Abstract:A large amount of information is included in the human-computer interface of modern vehicle-mounted weapons. Properly presenting information and a rational configuration of the interface can improve the fighting efficiency. For the purpose of exploring human's target identification performance under multiple tasks, a model is designed to simulate the two-task situation. Through recording and analyzing the identification response times and accuracies of target at different locations, the performance can be fully evaluated. Scientific evidences for designing the interface are acquired by comparing the human performances at different locations. Experimental results show that human target identification performance is influenced by target location. When a dark gray background is used and under the condition of multiple tasks, human response time and accuracy to target appearing at bottom-left of the interface have absolute advantage over at other locations. The performance corresponds to targets appearingat top-right and bottom-right corners is inferior to that at bottom-left. Thus information of different importancesshoudbe presented at different locations for improving the real-war efficiency.
Keywords:human-computer interface  multi-task  target location  target identification  
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