Investigating How Experienced UX Designers Effectively Work with Machine Learning
Investigating How Experienced UX Designers Effectively Work with Machine Learning
复制标题
DOI：
10.1145/3196709.3196730
复制
发表时间：
2018-06
期刊：
影响因子：
--
通讯作者：
Qian Yang;Alex Sciuto;J. Zimmerman;J. Forlizzi;Aaron Steinfeld
中科院分区：
文献类型：
--
作者：
Qian Yang;Alex Sciuto;J. Zimmerman;J. Forlizzi;Aaron Steinfeld
机器学习（ML）在改善用户体验方面发挥着越来越重要的作用。然而，大多数UX从业者在理解ML的功能或设想它可能是什么方面面临挑战。我们采访了13位设计师，他们有多年的ML增强产品和服务的用户体验设计经验。我们调查了他们的行为。他们分享说，他们不认为自己是ML专家，也不认为学习更多关于ML的知识会让他们成为更好的设计师。相反，我们的参与者似乎是最成功的，当他们与数据科学家进行持续的合作，以帮助设想要做什么，当他们接受以数据为中心的文化。我们讨论了这些发现对用户体验教育的影响，并将其作为额外设计研究的机会，以支持使用ML的用户体验设计师。
Machine learning (ML) plays an increasingly important role in improving a user's experience. However, most UX practitioners face challenges in understanding ML's capabilities or envisioning what it might be. We interviewed 13 designers who had many years of experience designing the UX of ML-enhanced products and services. We probed them to characterize their practices. They shared they do not view themselves as ML experts, nor do they think learning more about ML would make them better designers. Instead, our participants appeared to be the most successful when they engaged in ongoing collaboration with data scientists to help envision what to make and when they embraced a data-centric culture. We discuss the implications of these findings in terms of UX education and as opportunities for additional design research in support of UX designers working with ML.