Eun Kyoung Choe | College of Information Sciences and Technology
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Eun Kyoung Choe

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  • Assistant Professor of Information Sciences and Technology

301G Information Sciences and Technology Building
University Park, PA 16802
(814) 867-0270
  • Ph.D. in Information Science, University of Washington (2014)

  • M.S. in Information Management and Systems, University of California, Berkeley (2008)

  • B.S. in Industrial Design, KAIST (2005)

Research Interests:

Eun Kyoung Choe is an assistant professor at Penn State’s College of Information Sciences and Technology. Her primary research areas are in the fields of Human-Computer Interaction and Health Informatics. Her research focuses on designing, developing, and evaluating technology to promote healthy sleep behaviors and physical activities. Recently, she has been working on three projects with respect to self-tracking:

  • Enhancing doctor-patient communication through self-tracking data sharing.
    People are tracking massive health data outside the clinic due to an explosion of wearable sensing and mobile health (mHealth) apps that support self-tracking. Although potential usefulness of self-tracking data is enormous, it is largely underutilized by patients and clinicians due to many obstacles, including difficulty in data sharing. This project is aiming at understanding patients’ and clinicians’ barriers toward personal health data sharing.
  • Supporting self-trackers’ insight-gaining process.
    Data visualization and analytics research has a great potential to empower people to improve their lives through leveraging the data about themselves. However, many Quantified-Selfers who collect their personal data are not visualization experts or data scientists. Consequently, their visualizations often are not ideal to convey their insights. This project is aiming at designing a visualization system to help non-experts explore, reflect on, and present their personal data.
  • Supporting intergenerational health tracking for promoting mutual care.
    Personal health tracking has many benefits including increased health awareness, improved self-management behaviors, and informed decision-making. However, health tracking can be burdensome especially for elderly people. This project is aiming at investigating family-based collaboration as a strategy for increasing the utilization of health tracking technology by elderly people. We will leverage intergenerational relationships between elderly people and their adult children, emphasizing opportunities to enhance mutual awareness of health activities including sleep, exercise, diet, and medication adherence, making health more of a family-based joint project.

Her work has been published at Conference on Human Factors in Computing Systems (CHI), Ubiquitous Computing (UbiComp), and American Medical Informatics Association (AMIA). She is a recipient of a best paper award (UbiComp 2012), honorable mention awards (CHI 2014; UbiComp 2012), and best student paper nomination (AMIA 2013). In 2013, she was honored as a Google Anita Borg Scholar. During her graduate studies, she interned at Microsoft Research, Intel Lab, and Google.