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Using sketches and storyboards to assess impact of age difference in user experience

机译:使用草图和情节提要评估年龄差异对用户体验的影响

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We compared two versions of a touch-screen digital thermostat using a framework encompassing several user experience (UX) characteristics, and here describe how the implementation of certain design factors (specialists, praises, tooltips and increased interactivity) was done on mixed-fidelity prototypes of the user interface. We illustrate how the experimental comparison, involving 20 university students and 20 older adults, revealed important differences in UX, including perceived ease of use,behavioral intentions, enjoyment, quality, satisfaction, trust and usability, measured mainly through established questionnaires. Analysis revealed that using that kind of artifacts is a very cost effective way to elicit interesting and useful results; many UX variables are significantly affected by design factors and by age differences, as expected; effects of design factors go well beyond usability and therefore could not be caught by running an investigation focused only on usability. Age difference matters: older adults do not respond to addition of specialists, praises and tooltips as younger users do. We argue that potential benefits of these design choices are outweigh by the increase in complexity of the user interface. From a methodological viewpoint we suggest using a particular array of UX characteristics and metrics when testing mixed-fidelity prototypes. Not all the metrics that we adopted were equally useful, and in particular perceived usability, subjective mental effort, and emotions did not help us highlighting differences.
机译:我们使用包含多个用户体验(UX)特征的框架比较了两种版本的触摸屏数字恒温器,并在此描述了如何在混合逼真度原型上实现某些设计因素(专家,好评,工具提示和增强的交互性)用户界面的我们说明了涉及20位大学生和20位老年人的实验比较如何揭示用户体验的重要差异,包括感知易用性,行为意图,享受,质量,满意度,信任度和可用性,这些差异主要通过已建立的调查问卷进行衡量。分析表明,使用这种人工制品是获得有趣和有用结果的一种非常经济有效的方法。正如预期的那样,许多用户体验变量受设计因素和年龄差异的影响很大;设计因素的影响远远超出了可用性,因此无法通过仅关注可用性的调查来捕获。年龄差异很重要:老年人不像年轻人那样回应专家,赞美和工具提示的增加。我们认为,这些设计选择的潜在好处被用户界面复杂性的增加所抵消。从方法论的角度来看,我们建议在测试混合保真原型时使用特定的UX特性和指标数组。并非我们采用的所有指标都同样有用,特别是在感知的可用性,主观精神努力和情绪上,没有帮助我们强调差异。

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