Bespoke Computing for Your As-is Real Life
In this talk, I would like to share my on-going journey towards hyper-personalization in human-centered pervasive computing. As computing services are being planted into one’s everyday life, their life experiences and service experiences increasingly permeate each other. This blending trend calls for a computing service to personalize its embodiment, while keeping its own principles unaltered, such that individual users’ service experiences make natural sense with respect to one’s own life routine, responsibility, preferences, and so on. In this light, I will walk you through several application-driven systems. I will begin with two affective life-sharing systems where I took transformative and curative strategies, respectively, for preliminary personalization. Then, I will move forward to a next-level, where I take ‘generative’ strategies in the context of health-guidance systems so that a traditional common norm is individualized into a myriad bespoke norms. Before concluding, I will briefly mention my rough view towards ‘as-is’ real-life computing.
Inseok Hwang is an Assistant Professor of the Department of Computer Science and Engineering at POSTECH, South Korea. Before joining POSTECH in 2020, he spent six years as a Research Staff Member at IBM Research in Austin, Texas since 2014. His main research theme lies in “intelligent systems infusing real-life”, with special focuses on human-centered systems, mobile computing, and applied AI. He is a recipient of the Best Paper Award from ACM CSCW, Honorable Mention from ACM CHI, and multiple Best Demo Awards from ACM MobiSys. He has been actively serving on technical program committees and editorial boards of premier venues such as ACM IMWUT/UbiComp, ACM MobiSys, ACM CHI, AAAI, etc. He is a prolific inventor of 90+ U.S. patents issued to date, in recognition of which he was appointed as an IBM Master Inventor. He is a member of KAIST alumni, obtained his Ph.D. in Computer Science and MS/BS in Electrical Engineering from KAIST.