ABSTRACT

Several smartwatch vendors have over the past years entered the market with a large range of devices that differ in the design qualities they offer. In this paper, we focus on design qualities that are either perceived, descriptive or physical, and we investigate which of them may lead people to prefer particular smartwatches over others. To do so we conducted a laboratory study with 93 potential smartwatch users and a trained panel study with 8 participants. Results were analysed through a multivariate statistical technique called Preference Mapping. The advantage of this technique is that it can relate a large number of design qualities to users’ preferences. Our findings show that participants can be divided into four groups with homogenous preferences, each emphasising a unique combination of design qualities. For example, some groups emphasised device shape, while others prioritised expensiveness for their preferred smartwatch. We conclude with implications of our work on practice and research.

摘要

在过去的几年里，几家智能手表供应商已经进入市场，推出了大量不同设计质量的设备。在本文中，我们关注可感知的、描述性的或物理的设计品质，并调查其中哪些可能会导致人们更喜欢特定的智能手表而不是其他智能手表。为此，我们对 93 名潜在的智能手表用户进行了实验室研究，并对 8 名参与者进行了训练有素的小组研究。通过称为偏好映射的多元统计技术分析结果。这种技术的优点是它可以将大量的设计质量与用户的偏好联系起来。我们的研究结果表明，参与者可以分为具有同质偏好的四组，每组都强调设计品质的独特组合。例如，一些团体强调设备形状，而另一些团体则优先考虑他们首选的智能手表的昂贵性。我们总结了我们的工作对实践和研究的影响。