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Material Selection: Exploring the Reliability of Material Perception Data and Its Relevance to Materials
Metals and Materials International ( IF 3.3 ) Pub Date : 2019-12-24 , DOI: 10.1007/s12540-019-00574-y
Jaeho Choi

Abstract

Identifying and evaluating the diffuse interface between the users’ material perceptions and the designer’s intended product personalities is a key aspect of decision making in user centred design. As such, acquiring reliable information on the material perceptions of users is vital for studying material selection using the diffuse interface. To verify the reliability of material perception data and its relevance to materials, two surveys on material perceptions were conducted using two different groups. The data were analysed by priority fluctuation, the p value of a hypothesis test of the difference in two proportions, and the Pearson coefficient and p value of a correlation analysis. The results revealed that conducting multiple surveys using statistically validated adjective pairs and merging the data can provide more objective material perception data of a large number of participants. Moreover, by creating a large database of statistically validated adjective pairs, designers will have access to a variety of material perception data to enable more appropriate material selection to meet the diverse needs of users. Suitable material can be selected by employing the Euclidean distance between users’ common perceptions of materials and the designer’s intended product personalities.

Graphic Abstract



中文翻译:

材料选择:探索材料感知数据的可靠性及其与材料的相关性

抽象的

在以用户为中心的设计中,决策的关键方面是识别和评估用户的物质观念与设计师的预期产品个性之间的扩散界面。因此,获取有关用户对材料的感知的可靠信息对于使用扩散界面研究材料选择至关重要。为了验证材料感知数据的可靠性及其与材料的相关性,使用两个不同的小组对材料感知进行了两次调查。通过优先级波动,两个比例差异的假设检验的p值以及Pearson系数和p来分析数据相关分析的价值。结果表明,使用经过统计验证的形容词对进行多次调查并合并数据可以为大量参与者提供更客观的物质感知数据。此外,通过创建一个经过统计验证的形容词对的大型数据库,设计人员将可以访问各种材料感知数据,以实现更合适的材料选择,从而满足用户的各种需求。可以通过利用用户对材料的普遍认知与设计人员的预期产品个性之间的欧几里德距离来选择合适的材料。

图形摘要

更新日期:2019-12-25
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