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Exploring the visual features in automotive design through the application of eye tracking technology and perceptual awareness

机译:通过应用眼动追踪技术和感知意识探索汽车设计中的视觉特征

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Psychological symbols are transmitted by a product through its colors, lines, contour or materials. How to effectively grasp the consumers' feelings while also respecting their psychological demands has become a frequently discussed issue in recent years. The issues related to products and consumers' feelings are studied in Kansei Engineering. For this reason, this research utilizes the front appearances of cars to analyze the consumers' main area of interest as they see the figures without logo attached. The shapes of car appearance are summarized in Kansei words through Kansei Engineering analysis method as the substantial basis of analysis. Questionnaires are widely used in analyzing the like or dislike of an appearance. When a consumer response to a questionnaire, the corresponding Kansei words are usually summarized indirectly after the texts and graphics in the questionnaire are understood and processed in the brain. It could not directly reveal the subconscious desire of the consumers after their first impression, but consumers are buying cars to meet their own needs. Therefore for now, the traditional Kansei Engineering is still unable to directly and precisely understand the main area of interest of majority consumers in a product. Therefore, innovative evaluation mechanism through eye tracking technology (Face LAB Seeing Machine) is used in this research to track the style elements and blocks of the car which are mainly concerned by the consumers. The misunderstanding and bias brought by texts in questionnaire are eliminated. The consumers' main area of interest could be established along with related regression equations after statistical analysis, and the results could be provided as a reference for car designers in designing their new products.
机译:心理符号是通过产品的颜色,线条,轮廓或材料传递的。近年来,如何有效地把握消费者的感受,同时又尊重他们的心理需求已成为人们经常讨论的问题。在Kansei Engineering中研究了与产品和消费者感受有关的问题。因此,本研究利用汽车的外观来分析消费者感兴趣的主要区域,因为他们看到的数字没有徽标。通过Kansei Engineering分析方法,用Kansei语言概括了汽车外观的形状,将其作为分析的实质基础。问卷被广泛用于分析外观的喜好。当消费者对问卷做出回应时,通常会在大脑中理解并处理了问卷中的文字和图形后,间接地概括了对应的Kansei单词。它不能直接显示出消费者的第一印象后的潜意识,但是消费者购买汽车是为了满足自己的需求。因此,到目前为止,传统的Kansei Engineering仍然无法直接和准确地了解产品中大多数消费者的主要兴趣领域。因此,在这项研究中,通过眼动追踪技术(Face LAB Seeing Machine)的创新评估机制被用于跟踪消费者主要关注的汽车的样式元素和街区。消除了问卷中文本带来的误解和偏见。经过统计分析,可以建立消费者的主要兴趣区域以及相关的回归方程,其结果可以为汽车设计师设计新产品提供参考。

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