Robert Albert, Noah Syroid, Yinqi Zhang, J. Agutter, F. Drews, D. Strayer, George Hutchinson, D. Westenskow
{"title":"Psychophysical scaling of a cardiovascular information display","authors":"Robert Albert, Noah Syroid, Yinqi Zhang, J. Agutter, F. Drews, D. Strayer, George Hutchinson, D. Westenskow","doi":"10.1109/VISUAL.2003.1250352","DOIUrl":null,"url":null,"abstract":"A new method was developed to increase the saliency of changing variables in a cardiovascular visualization for use by anesthesiologists in the operating room (OR). Clinically meaningful changes in patient physiology were identified and then mapped to the inherent psychophysical properties of the visualization. A long history of psychophysical research has provided an understanding of the parameters within which the human information processing system is able to detect changes in the size, shape and color of visual objects (Gescheider, 1976, Spence, 1990, and Baird, 1970). These detection thresholds are known as just noticeable differences (JNDs) which characterize the amount of change in an object's attribute that is recognizable 50% of the time. A prototype version of the display has been demonstrated to facilitate anesthesiologist's performance while reducing cognitive workload during simulated cardiac events (Agutter et al., 2002). In order to further improve the utility of the new cardiovascular visualization, the clinically relevant changes in cardiovascular variables are mapped to noticeable perceptual changes in the representational elements of the display. The results of the method described in this paper are used to merge information from the psychophysical properties of the cardiovascular visualization, with clinically relevant changes in the patient's cardiovascular physiology as measured by the clinical meaningfulness questionnaire. The result of this combination will create a visualization that is sensitive to changes in the cardiovascular health of the patient and communicates this information to the user in a meaningful, salient and intuitive manner.","PeriodicalId":372131,"journal":{"name":"IEEE Visualization, 2003. VIS 2003.","volume":"186 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Visualization, 2003. VIS 2003.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VISUAL.2003.1250352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
A new method was developed to increase the saliency of changing variables in a cardiovascular visualization for use by anesthesiologists in the operating room (OR). Clinically meaningful changes in patient physiology were identified and then mapped to the inherent psychophysical properties of the visualization. A long history of psychophysical research has provided an understanding of the parameters within which the human information processing system is able to detect changes in the size, shape and color of visual objects (Gescheider, 1976, Spence, 1990, and Baird, 1970). These detection thresholds are known as just noticeable differences (JNDs) which characterize the amount of change in an object's attribute that is recognizable 50% of the time. A prototype version of the display has been demonstrated to facilitate anesthesiologist's performance while reducing cognitive workload during simulated cardiac events (Agutter et al., 2002). In order to further improve the utility of the new cardiovascular visualization, the clinically relevant changes in cardiovascular variables are mapped to noticeable perceptual changes in the representational elements of the display. The results of the method described in this paper are used to merge information from the psychophysical properties of the cardiovascular visualization, with clinically relevant changes in the patient's cardiovascular physiology as measured by the clinical meaningfulness questionnaire. The result of this combination will create a visualization that is sensitive to changes in the cardiovascular health of the patient and communicates this information to the user in a meaningful, salient and intuitive manner.
开发了一种新的方法,以增加心血管可视化中变化变量的显着性,供麻醉师在手术室(OR)使用。临床有意义的变化,病人的生理被确定,然后映射到固有的心理物理特性的可视化。心理物理学研究的悠久历史已经提供了对人类信息处理系统能够检测视觉对象的大小、形状和颜色变化的参数的理解(Gescheider, 1976, Spence, 1990, and Baird, 1970)。这些检测阈值被称为明显差异(JNDs),它表征对象属性的变化量,该变化量在50%的时间内是可识别的。该显示器的原型版本已被证明可以促进麻醉师的表现,同时减少模拟心脏事件期间的认知工作量(Agutter et al., 2002)。为了进一步提高新的心血管可视化的效用,心血管变量的临床相关变化被映射到显示的代表性元素的明显感知变化。本文所述方法的结果用于合并心血管可视化的心理物理特性信息,以及通过临床意义问卷测量的患者心血管生理学的临床相关变化。这种组合的结果将创建对患者心血管健康变化敏感的可视化,并以有意义、突出和直观的方式将这些信息传达给用户。