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Most mobile health apps employ data visualization to help people view theirhealth and activity data, but these apps provide limited support for visualdata exploration. Furthermore, despite its huge potential benefits, mobilevisualization research in the personal data context is sparse. This work aimsto empower people to easily navigate and compare their personal health data onsmartphones by enabling flexible time manipulation with speech. We designed anddeveloped Data@Hand, a mobile app that leverages the synergy of twocomplementary modalities: speech and touch. Through an exploratory study with13 long-term Fitbit users, we examined how multimodal interaction helpsparticipants explore their own health data. Participants successfully adoptedmultimodal interaction (i.e., speech and touch) for convenient and fluid dataexploration. Based on the quantitative and qualitative findings, we discussdesign implications and opportunities with multimodal interaction for bettersupporting visual data exploration on mobile devices.

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