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Data · dataset · 2001

A Study of Product Sensitive Characters from New Life Styling

Listed in Harvard Dataverse

This study is to analyze the character and needs of multimedia personal computer from the point of life style .The study uses home multimedia PC as an example to explore the kansei element of PC\'s form .

Description

In design methodology of this study,after literature review and also research design , the study collects PC sample and kansei vocabulary , it uses SD technique to measure the consumer\'s image . Condncting questionnaire with l34 students in the Da-Yeh university , the study uses factor analysis to realize the PC\'s kansei trait .

The ANOVA and Chi-square statistic test are used to determine whether there are the differences between gender、product knowledge level and education background﹒ After statistical analysis , there are some results as following: 1. The kansei trait of information product are determined in product\'s form、color、texture、size and the operation convenience. 2. There are five main elements in computer\'s form : personality、 layout、composition、scale and outline . 3.

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The male are more favor in using PC than the female .The female had higher requirement in product\'s form by the point of lifestyle. 4. The lower product knowledge users are more care about PC\'s form than the higher product knowledge. 5. There are significant difference in product form\'s layout in different educational background﹒ The results of this research responds the consumer\'s requirements in PC\'s form .

It becomes an important references in product design in order to achieve a design to fulfill user\'s real needs﹒

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Image 75%
Provenance · 1 source records, 6 field assertions
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Harvard Dataversedoi:10.6141/TW-SRDA-E88101-113 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[modality].local:modality:imageenrichment · Harvard Dataversekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · Harvard Dataverseconnector:dataverse@1.0.0
descriptionsource · Harvard Dataverseconnector:dataverse@1.0.0/description
publication_datesource · Harvard Dataverseconnector:dataverse@1.0.0
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updated_datesource · Harvard Dataverseconnector:dataverse@1.0.0