Workshop Keynote #1: Human-Centric Smart Computing

Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. As smart computing, exemplified by a combination of mobile based sensing and artificial intelligence (AI), begins to impact various aspects of our lives, there is a need to combine it with a better understanding of drivers of human behavior. We describe our ongoing work in diverse areas, including health, agriculture and information access where human-centric smart computing is key to developing an effective solution. We present an AI-based approach to modeling the diligence of health workers in a public health scenario, which is needed to ensure that the data being fed to downstream algorithms is of high quality. We describe additional scenarios of “data corruption” in the context of information access where the "corruption" of data is not a bug, but a feature based on natural human behavior. We then present a wellness-based approach to improve health outcomes for people, which requires a combination of mobile sensing, machine learning and influencing human behavior. Finally, we describe a deep learning based modeling of human behavior in a specific game-based setting, which has very interesting implications if we are able to generalize that approach to broader settings.