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doi.org
Augur
May 2016 • Ethan Fast, W. R. McGrath, Pranav Rajpurkar, Michael S. Bernstein
From smart homes that prepare coffee when we wake, to phones that know not to\ninterrupt us during important conversations, our collective visions of HCI\nimagine a future in which computers understand a broad range of human\nbehaviors. Today our systems fall short of these visions, however, because this\nrange of behaviors is too large for designers or programmers to capture\nmanually. In this paper, we instead demonstrate it is possible to mine a broad\nknowledge base of human behavior by analyzing more than one…
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