论文标题
社交机器人的心理健康数据可视化的参与设计
Participatory Design for Mental Health Data Visualization on a Social Robot
论文作者
论文摘要
数据可视化与人类机器人相互作用（HRI）的相交是一个新兴的领域。理解，交流和处理用于创建多功能可视化的各种数据可以使HRI受益。相反，表达从HRI通过有效可视化产生的不同类型的数据可以提供有趣的见解。我们的工作增加了这个不断发展的领域的文献。在本文中，我们介绍了有关可视化社交机器人心理健康数据的探索性工作。特别是，我们使用参与式设计（PD）方法讨论心理健康数据可视化的开发。作为社交机器人心理健康数据可视化的第一步，这项工作为相关的进一步工作和使用社交机器人作为数据可视化工具铺平了道路。
The intersection of data visualization and human-robot interaction (HRI) is a burgeoning field. Understanding, communicating, and processing different kinds of data for creating versatile visualizations can benefit HRI. Conversely, expressing different kinds of data generated from HRI through effective visualizations can provide interesting insights. Our work adds to the literature of this growing domain. In this paper, we present our exploratory work on visualizing mental health data on a social robot. Particularly, we discuss development of mental health data visualizations using a participatory design (PD) approach. As a first step with mental health data visualization on a social robot, this work paves the way for relevant further work and using social robots as data visualization tools.
