论文标题

一种基于游戏的方法,用于帮助设计师学习机器学习概念

A Game-Based Approach for Helping Designers Learn Machine Learning Concepts

论文作者

Myers, Chelsea M., Xie, Jiachi, Zhu, Jichen

论文摘要

机器学习(ML)在我们每天使用的系统中变得越来越普遍。然而,这些系统的设计人员无法使用这些技术设计。最近,交互式可视化已被用来向非专家提供ML概念。但是,很少有研究评估设计师如何在这些环境中建立对ML的了解,或者如何设计指导他们学习的界面。在用户研究(n = 21)中,我们观察设计师如何与我们的交互式可视化器\ textit {qube}进行互动,重点是通过游戏隐喻可视化Q学习。我们分析设计师如何处理交互式可视化和游戏隐喻,以形成对ML概念以及他们在此过程中面临的挑战的理解。我们发现交互式可视化显着改善了参与者对ML概念的高级理解。但是,它不支持他们使用这些概念设计的能力。我们介绍参与者在学习ML概念及其自我指导学习行为时面临的挑战。我们的发现提出了设计建议,以通过指导的学习界面和游戏隐喻来支持对ML概念的理解。

Machine Learning (ML) is becoming more prevalent in the systems we use daily. Yet designers of these systems are under-equipped to design with these technologies. Recently, interactive visualizations have been used to present ML concepts to non-experts. However, little research exists evaluating how designers build an understanding of ML in these environments or how to instead design interfaces that guide their learning. In a user study (n=21), we observe how designers interact with our interactive visualizer, \textit{QUBE}, focusing on visualizing Q-Learning through a game metaphor. We analyze how designers approach interactive visualizations and game metaphors to form an understanding of ML concepts and the challenges they face along the way. We found the interactive visualization significantly improved participants' high-level understanding of ML concepts. However, it did not support their ability to design with these concepts. We present themes on the challenges our participants faced when learning an ML concept and their self-guided learning behaviors. Our findings suggest design recommendations for supporting an understanding of ML concepts through guided learning interfaces and game metaphors.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源