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UID:20251109T160728EST-3194PAul10@132.216.98.100
DTSTAMP:20251109T210728Z
DESCRIPTION:Join us for a talk from our third candidate in our Faculty Recr
 uitment\n\nPersonal Information in a World Full of Emerging Technologies\n
 \nEmerging computing and information technologies have transformed how peo
 ple’s personal information is created\, stored\, transmitted\, shared\, us
 ed\, and profited from. Because our personal information is valuable and w
 orth protecting\, my research champions the appropriate and meaningful use
  of personal information in the context of various emerging technologies.
 \n\nIn this talk\, I will highlight two streams of my research to that end
 . The first stream is my applied research to protect personal data privacy
  in the context of Internet of Things (IoT) technology. I will introduce m
 y current work on a real-world privacy infrastructure that increases the t
 ransparency of IoT data privacy and empowers end-users with privacy choice
 s related to IoT. I will also present my applied machine learning research
  in privacy preference modeling that aims to reduce user burden in persona
 l privacy management. The second stream is my ongoing human-centered healt
 h informatics research that leverages personal health information outside 
 of healthcare settings to support proactive personal health management. Sp
 ecifically\, I will present my mixed-methods research examining how long-t
 erm fitness tracker users manage personal health information generated by 
 their devices and how they reconcile with health-related self-tracking dat
 a. The findings inform the design of empathetic\, non-intrusive health tra
 cking technologies that could better support long-term personal health man
 agement.\n\n \n
DTSTART:20200306T140000Z
DTEND:20200306T153000Z
LOCATION:Peel 3661\, CA\, QC\, Montreal\, H3A 1X1\, 3661 rue Peel
SUMMARY:SIS Talk Yuanyuan Feng
URL:/sis/channels/event/sis-talk-yuanyuan-feng-320849
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