Data@Hand: Fostering Visual Exploration of Personal Data on Smartphones Leveraging Speech and Touch Interaction

Data@Hand: Fostering Visual Exploration of Personal Data on Smartphones Leveraging Speech and Touch Interaction
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Data@Hand:利用语音和触摸交互促进智能手机上个人数据的视觉探索

DOI:
10.1145/3411764.3445421
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发表时间:
2021
期刊:
2021 CHI Conference on Human Factors in Computing Systems
影响因子:
--
通讯作者:
Choe, Eun Kyoung
Choe, Eun Kyoung
中科院分区:
--
文献类型:
--
作者:
Kim, Young-Ho;Lee, Bongshin;Srinivasan, Arjun;Choe, Eun Kyoung

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大多数移动的健康应用程序采用数据可视化来帮助人们查看他们的健康和活动数据,但这些应用程序对可视化数据探索的支持有限。此外,尽管其巨大的潜在利益,移动的可视化研究在个人数据的背景是稀疏的。这项工作旨在通过语音实现灵活的时间操纵,使人们能够在智能手机上轻松导航和比较他们的个人健康数据。我们设计并开发了Data@Hand,这是一款移动的应用程序,利用了两种互补模式的协同作用:语音和触摸。通过对13名Fitbit长期用户的探索性研究,我们研究了多模态交互如何帮助参与者探索自己的健康数据。参与者成功地采用了多模式互动(即,语音和触摸),以方便和流畅的数据探索。基于定量和定性的研究结果,我们讨论了多模态交互的设计意义和机会,以更好地支持移动的设备上的视觉数据探索。
Most mobile health apps employ data visualization to help people view their health and activity data, but these apps provide limited support for visual data exploration. Furthermore, despite its huge potential benefits, mobile visualization research in the personal data context is sparse. This work aims to empower people to easily navigate and compare their personal health data on smartphones by enabling flexible time manipulation with speech. We designed and developed Data@Hand, a mobile app that leverages the synergy of two complementary modalities: speech and touch. Through an exploratory study with 13 long-term Fitbit users, we examined how multimodal interaction helps participants explore their own health data. Participants successfully adopted multimodal interaction (i.e., speech and touch) for convenient and fluid data exploration. Based on the quantitative and qualitative findings, we discuss design implications and opportunities with multimodal interaction for better supporting visual data exploration on mobile devices.
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