Data-Driven Design for Human-Centered Healthcare
A plethora of digital artifacts—wearable trackers, IoT devices, social media, online communities, and crowdsourcing platforms—have enabled new opportunities in areas as diverse as personal health management to collaboration in the workplace. From an interaction design perspective, these artifacts produce a wide variety of user-generated data, ranging from explicit micro-interactions such as clicks and touches to longer traces of physical activities, textual input, and more implicit evidence from social interactions. By leveraging data that provide a rich resource material for design, I have been seeking insights to enable the improvement of current user experiences or the creation of computational applications in the domain of accessibility and health.
In this talk, I present examples from my personal work on exploring human-centered healthcare technologies that could affect the lives of young adults with autism, students suffering from stress and mental health problems, patients seeking financial and social support from medical crowdfunding platforms, and caregivers and volunteers who work with them. More specifically, I describe attempts to deploy mobile, web-based, and crowdsourcing systems that produce large scale user-generated data and apply it to concrete design concepts. I further discuss my vision for designing creative healthcare technologies that function through open, ubiquitous social technical infrastructures from a maker’s fabrication tool to collaborative virtual making platforms.
BIO: Hwajung Hong is an Assistant Professor in the School of Creative Design Engineering at Ulsan National Institute of Science and Technology (UNIST) in Korea. Her primary research areas are at the intersection of human-computer interaction, social/crowd computing and design, with a special interest in health informatics and assistive technology. Her recent research focuses on building tools which individuals with autism to crowdsource assistance and advice on challenging situations such as public anxiety and workplace conflicts. She has designed, developed, and evaluated mobile and social applications for many different populations, including young adults with autism, students suffering from mental health issues, families and clinicians working with individuals with chronic disease. She has also worked on interaction design and UX research to tackle real-world problems as part of industrial internships at Palo Alto Research Center, Microsoft Research, LG, and Motorola. She received her Ph.D. in Human-Centered Computing in 2015, M.S. in Human-Computer Interaction from Georgia Tech, and her B.S. degree in Industrial Design from Korea Advanced Institute of Science and Technology (KAIST). She has been named a Samsung Fellowship scholar.