Please wait a minute...
浙江大学学报(工学版)
J4  2009, Vol. 43 Issue (5): 822-826    DOI: 10.3785/j.issn.1008-973X.2009.05.007
自动化技术、计算机技术     
基于同时亮度对比现象的亮度感知用户模型
陈硕,张锋，沈模卫
（浙江大学 心理与行为科学系,浙江 杭州 310028）
Brightness perceptive user model based on simultaneous brightness contrast phenomena
 CHEN Shuo, ZHANG Feng, CHEN Mo-Wei
（Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou 310028, China）
 全文: PDF(547 KB)   HTML
摘要：

基于同时亮度对比的用户认知特点,构建了用户亮度感知的定量模型,为计算机界面设计中的亮度设置提供定量参考依据.在计算机仿真的CIE标准照明体D65照明下,采用仿真Munsell颜色体作为实验刺激,呈现在经过BP神经网络标定的CRT显示器上,仿真实验刺激的色差远小于最小颜色可觉差.基于亮度匹配的实验范式,4名男性用户参与了4（实验表面）×4（匹配背景）的被试者内设计实验,对每种实验条件进行了16次重复测量.重复测量方差分析结果表明,实验表面亮度和匹配背景亮度均对用户的匹配亮度产生了显著影响.用背景亮度作为自变量,匹配亮度和匹配背景亮度的韦伯对比度作为因变量,采用幂函数形式对实验数据进行拟合,在各种实验条件下拟合模型的R方均大于0.99.额外采用5名男性用户进行同样的实验对所构建模型进行验证,在各种实验条件下拟合模型的R方均大于0.95.上述结果表明,拟合模型对用户感知亮度随实验表面亮度和匹配背景改变而变化的趋势进行了高精度描述.
Abstract:

Based on the user cognitive features of simultaneous brightness contrast, a qualitative model of user perceptive brightness was constructed for setting the value of  brightness during the computer interface design. Simulated Munsell color chips under simulated CIE standard illuminant D65 were adopted as the test stimulates, when presented on  a BP neural network calibrated CRT monitor, its color difference was far less than the minimum perceptible color difference (MPCD). With the test paradigm of brightness  matching, a 4 (test surface) by 4 (matching background) by 16 times repeated measures within subjects design test was conducted on 9 adult male users, 4 users data for model  parameter estimation, another 5 users data for model assessment. Repeated measures ANOVA results showed that the 4 users matched brightness was significantly influenced by  the brightnesses of test surface and matching background. The 4 users test data were fitted by a series of power function, with the background brightness as independent  variable, the Weber contrast which was made of the matching surface brightness and background brightness as dependent variable. The results showed that all the R squares of  fitted models were larger than 0.99. Then the fitted model was evaluated by another 5 users model assessment data, and all evaluated R squares were larger than 0.95. With a  fantastic precision, the fitted model described how the user percepted brightness varied with the brightness variations of the test surface and the test background．
出版日期: 2009-11-18
:  TP391.4  
基金资助:

国家基础科学人才培养基金资助项目（J0630760）；浙江省教育厅基金资助项目（3520070212）.
通讯作者: 沈模卫，男，教授，博导.     E-mail: mwshen@zju.edu.cn
作者简介: 陈硕（1970-），男，安徽巢湖人，副教授，从事用户行为模式的研究.
服务　　
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章　　

引用本文:

陈硕, 张锋, 沈模卫. 基于同时亮度对比现象的亮度感知用户模型[J]. J4, 2009, 43(5): 822-826.

CHEN Shuo, ZHANG Feng, CHEN Mo-Wei. Brightness perceptive user model based on simultaneous brightness contrast phenomena. J4, 2009, 43(5): 822-826.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2009.05.007    或    http://www.zjujournals.com/eng/CN/Y2009/V43/I5/822

［1］ SHNEIDERMAN B, PLAISANT C. Designing the user interface: strategies for effective human-computer interaction ［M］.Redwood City: Addison-Wesley Publishing Company, 2005．
［2］ HILL A, SCHARFF L V. Readability of screen displays with various foreground/background color combinations, font styles, and font types ［C］∥ Proceedings of the Eleventh  National Conference on Undergraduate Research. Austin: Springer, 1997: 742746．
［3］ NIELSEN J. Designing web usability: the practice of simplicity ［M］. Indianapolis: New Riders Publishing, 2000．
［4］ HALL R H, HANNA P. The effect of web page text-background color combinations on retention and perceived readability, aesthetics and behavioral intention ［C］∥ Ninth  Americas Conference on Information Systems. Tampa: Association for Information Systems, 2003: 21492156．
［5］ HEINEMANN E G, CHASE S. A quantitative model for simultaneous brightness induction ［J］. Vision Research, 1995, 35(14): 20072020．
［6］ CHAPPELL M. Mapping a field of suppression surrounding visual stimuli ［J］. Journal of Vision, 2007, 7(10): 114．
［7］ RODIECK R W. Quantitative analysis of cat retinal ganglion cell response to visual stimuli ［J］. Vision Research, 1965, 5(11): 583601．
［8］ EINEVOLL G T, PLESSER H E. Response of the difference-of-Gaussians model to circular drifting-grating patches ［J］. Visual Neuroscience, 2005, 22(4): 437446．
［9］ BLAKESLEE B, PASIEKA W, MCCOURT M E. Oriented multiscale spatial filtering and contrast normalization: a parsimonious model of brightness induction in a continuum of  stimuli including White, Howe and simultaneous brightness contrast ［J］. Vision Research, 2005, 45(5): 607615．
［10］ ROBINSON A E, HAMMON P S, SA V R. Explaining brightness illusions using spatial filtering and local response normalization ［J］. Vision Research, 2007, 47(12): 16311644 ．
［11］ 陈硕,沈模卫,水仁德. CIE标准照明体和Munsell颜色体计算机仿真［J］. 浙江大学学报：工学版, 2003, 37(4): 401405．
CHEN Shuo, SHEN Mo-wei, SHUI Ren-de. Computer simulation of CIE standard illumination and Munsell color chips ［J］. Journal of Zhejiang University: Engineering Science, 2003,  37(4): 401405．
［12］ 陈硕,沈模卫. 基于BP神经网络的阴极射线管显示器标定模型［J］. 浙江大学学报：工学版, 2007, 41(6): 901904．
CHEN Shuo, SHEN Mo-wei. Display calibration model of cathode ray tube based on BP neural network ［J］. Journal of Zhejiang University: Engineering Science, 2007, 41(6): 901904 ．
［13］ PURVES D, WILLIAMS S M, NUNDY S, et al. Perceiving the intensity of light ［J］. Psychological Review, 2004, 111(1): 142158．
［14］ LEGGE G E, KERSTEN D. Light and dark bars: contrast discrimination ［J］. Vision Research, 1983, 23(5): 473483．
［15］ RUDD M E, POPA D. Stevenss brightness law, contrast gain control, and edge integration in achromatic color perception: a unified model ［J］. Journal of the Optical  Society of America A, 2007, 24(9): 27662782．
[1] 徐舒畅, 张三元, 张引. 利用颜色模拟估算皮肤色素浓度[J]. J4, 2009, 43(6): 983-986.
[2] 张赞超, 夏顺仁. 全自动尿液图像识别技术[J]. J4, 2009, 43(5): 832-838.