智能手机系统图符识别绩效研究

发布时间：2018-07-11 14:08

本文选题：图符 + 知觉因素　；参考：《西南交通大学》2017年硕士论文

【摘要】：随着智能手机等智能可移动设备的蓬勃发展,智能手机的智能性和交互性也得到进一步完善,图形化界面的触屏手机占据了智能手机的绝大部分市场,日益丰富的应用软件在交互界面上以图符的形式与用户进行交互,然而,目前市场上智能手机图符的设计和使用现状却相当混乱,视觉交互设计师以低识别绩效为代价追求图符的多样化和个性化。基于此,本文以智能手机的系统图符为研究对象,对图符的识别过程及其知觉影响因素进行研究,揭示各知觉因素对图符识别绩效的作用机制。本文对符号概念、符号认知模型及图符识别影响因素等相关理论进行了系统的梳理,并在此基础上采用实证研究的方式对图符的识别过程及其知觉影响因素进行探究。文章首先进行熟悉性、视觉复杂性、具体性及语义距离四个知觉因素的评定,研究者采用在线评定的方式对选取的77幅智能手机系统图符进行知觉因素评定,并采用数据分析软件分析各知觉因素之间的相关性,最终得出智能手机常用系统图符的知觉因素值以及各因素之间的相关关系;然后,文章通过图符命名实验探究影响图符识别绩效的知觉因素及各知觉因素对图符识别的作用机制,研究者通过对33名被试进行图符命名实验来获取77幅系统图符的命名反应时、正确率和命名一致性的值,并以正确的反应时间为识别绩效指标的依据对具有相同功能含义的图符划分等级,此外,本文还通过数据分析获得熟悉性、视觉复杂性、具体性、语义距离、概念一致性和H值6因素与反应时的相关关系,并在此基础上,运用逐步回归的方法构建出一个预测图符反应时的线性回归方程;最后,文章通过图符语义匹配任务来判断不同启动模式背景下图符识别过程中的特征提取和语义匹配是否对称,研究者参照前人相关研究以图符的熟悉性和具体性两个指标为依据从备选图符中确定13幅实验图符,通过对32名被试进行2(启动模式:图-文启动模式,文-图启动模式)x2(语义匹配关系:匹配,不匹配)的两因素图符语义匹配实验来得出实验结论,研究发现两种启动模式下的图符识别均存在不同程度的启动效应,且两种启动模式背景下的图符识别不对称。本文依次开展图符知觉因素评定、图符命名实验、图符语义匹配实验三方面的研究,逐层深入剖析各知觉因素对图符识别绩效的影响。研究结论对图符的设计和使用具有一定的参考价值,对改善图符交互效果和提升用户体验也具有重要的现实意义。
[Abstract]:With the rapid development of smart mobile devices such as smart phones, the intelligence and interactivity of smart phones have been further improved, and touch screen phones with graphical interfaces have occupied most of the market of smart phones. Increasingly rich applications interact with users in the form of graphic characters on the interactive interface. However, the design and use of smart phone symbols in the market is quite chaotic. Visual interaction designers pursue the diversification and individualization of symbols at the expense of low recognition performance. Based on this, this paper studies the recognition process and perceptual influencing factors of the system symbols of smart phones, and reveals the mechanism of each perceptual factor on the performance of character recognition. This paper systematically combs the concept of symbol, the cognitive model of symbol and the influencing factors of symbol recognition. On the basis of this, the paper makes an empirical study on the process of symbol recognition and the influencing factors of its perception. Firstly, four perceptual factors such as familiarity, visual complexity, concreteness and semantic distance were evaluated. The researchers evaluated the perceived factors of 77 selected smart phone system symbols by on-line evaluation. Using data analysis software to analyze the correlation between the perceptual factors, and finally get the common smartphone system symbols perception factors value and the correlation between the factors; then, In this paper, the perceptual factors that affect the performance of character recognition and the mechanism of each perceptual factor acting on the character recognition are explored through the charting naming experiment. The researchers obtained the naming reaction of 77 system symbols by using the charting naming experiment in 33 subjects. The correct rate and naming consistency value, and based on the correct reaction time to identify the performance indicators, the same functional meaning of the symbol classification, in addition, this paper also through data analysis to obtain familiarity, visual complexity, specificity, On the basis of semantic distance, conceptual consistency and the correlation between H value and reaction time, a linear regression equation is constructed by using stepwise regression method. This paper determines whether the feature extraction and semantic matching are symmetrical in the process of identifying the background characters of different starting patterns by using the task of semantic matching of graph runes. Based on the two indexes of familiarity and specificity, the researchers determined 13 experimental symbols from the alternative symbols, and carried out 2 (Startup Mode: graph-text priming mode) among 32 subjects. X2 (semantic matching relation: matching, mismatch) of two factors graph semantic matching experiment to get the experimental conclusion, the study found that there are different degrees of priming effect in the two starting modes. And the symbols in the background of the two startup modes identify asymmetry. In this paper, the evaluation of perceptual factors, naming experiments and semantic matching experiments are carried out in turn, and the effects of perceptual factors on the performance of symbol recognition are analyzed in depth. The conclusion of the study has some reference value for the design and use of graphic symbols, and also has important practical significance for improving the interactive effect of symbols and enhancing the user experience.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：J51;TN929.53

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