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Semantic information influences the degree to which human observers perceive detail and intricacy within an icon.

机译:语义信息影响人类观察者在图标内感知细节和复杂程度的程度。

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Following the Boucart & Humphreys (1995) method, this paper reports a study in which response time to three groups of semantically related icons were examined. This study was used as a model by which to examine the ability of human observers to attend solely to one icon property without being influenced by other salient icon information. Humans are easily influenced by their experience of an icon: they tend to judge very simple, but unfamiliar icons (as defined by an automated analysis) as complex (Forsythe et al., 2003). This means that when humans are unreliable judges about the degree of detail or intricacy in an icon. The degree of detail or intricacy in an icon is one property is that lends itself to automation (Forsythe et al., 2003). As a decision-making aid, an automated system would make the process of icon development and modification a less speculative, more cost-effective activity.
机译:在Boucart和Humphreys(1995)的方法之后,本文报告了一个研究,其中检查了三组语义相关图标的响应时间。 本研究被用作模型,用于检查人类观察者仅仅在一个图标属性上参加的能力,而不会受到其他突出图标信息的影响。 人类容易受到他们对图标的经验的影响:他们倾向于判断非常简单,但不熟悉的图标(如自动分析所定义)作为复杂(Forsythe等,2003)。 这意味着当人类在图标中的细节或复杂程度不可靠的判断时。 图标中的细节或复杂程度是一个属性,可以自动化自动化(Forsythe等,2003)。 作为决策援助,自动化系统将使图标开发和修改的过程更少投机,更具成本效益的活动。

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