| Summary: | 碩士 === 銘傳大學 === 設計管理研究所碩士班 === 94 === The rapid growing population of the elder in Taiwan has been noticed
in recent years. The elder are considered as a great potential consumer
group. As to Internet business opportunities, it is estimated that the elder
are going to play significant roles. With the age increasing, the elders will
surely face the problem with physics aging, however. When they are using
the internet, the visual sensor change makes them difficult to browse.
Particularly, the elder will have weaker adaptation to light and shade, lower
color recognition, etc.. Nevertheless, the color leads to the website style
establishment and is the element which influences the browsers’ first
impression. But the elder’s vision aging problems will influence their
differences in color sensor image.
This research includes five sections: 1. Introduction; 2.designing and
executing of research; 3.results; 4.recommendations.The study explores the
relationship between the elder’s visual functionality and color through the
literature review at first. Then the researcher engages in image investigation
by Method of Semantic Differential which is designed by the experts and
has 22 different web color combination samples, to test the elder’s web
color image and preference and gender cognition differences. Finally, the
researcher integrates the data about the elder’s visual image cognition to
provide the designers with more objective and detailed references when
they engage in web color combination design.
The major findings are as the followings:
1. There are differences between the results of web color combination and
the experts’ cognition. The researcher engaged in Method of Semantic
Differential Inventory for the elder, the switch images into numbers and
drew SD Profile to understand the elder’s web color combination image
and preference.
2. The relationship between the elders’ reaction and image scale is shown
through correlation coefficient.
3. The factors that influence the elder are “affective factor” and
“appraisable factor” through factor analysis.
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