Towards a capabilities database to inform inclusive design: Experimental investigation of effective survey-based predictors of human-product interaction

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• 作者：Raji Tenneti^a ; ^{raji.tenneti@gmail.com} ; Daniel Johnson^b ; Liz Goldenberg^c ; Richard A. Parker^d ; Felicia A. Huppert^a
• 关键词：Inclusive design ; Design practice ; Design tools ; User-centred design ; Human factors
• 刊名：Applied Ergonomics
• 出版年：2012
• 期刊代码：13_00036870
• 类别：et
• 出版时间：July, 2012
• 卷：43
• 期：4
• 页码：713-726
• 文件大小：234 K

摘要

A key issue in the field of inclusive design is the ability to provide designers with an understanding of people鈥檚 range of capabilities. Since it is not feasible to assess product interactions with a large sample, this paper assesses a range of proxy measures of design-relevant capabilities. It describes a study that was conducted to identify which measures provide the best prediction of people鈥檚 abilities to use a range of products. A detailed investigation with 100 respondents aged 50-80 years was undertaken to examine how they manage typical household products. Predictor variables included self-report and performance measures across a variety of capabilities (vision, hearing, dexterity and cognitive function), component activities used in product interactions (e.g. using a remote control, touch screen) and psychological characteristics (e.g. self-efficacy, confidence with using electronic devices). Results showed, as expected, a higher prevalence of visual, hearing, dexterity, cognitive and product interaction difficulties in the 65-80 age group. Regression analyses showed that, in addition to age, performance measures of vision (acuity, contrast sensitivity) and hearing (hearing threshold) and self-report and performance measures of component activities are strong predictors of successful product interactions. These findings will guide the choice of measures to be used in a subsequent national survey of design-relevant capabilities, which will lead to the creation of a capability database. This will be converted into a tool for designers to understand the implications of their design decisions, so that they can design products in a more inclusive way.