  Understanding how to engage users is a critical question in many
applications. Previous research has shown that unexpected or astonishing events
can attract user attention, leading to positive outcomes such as engagement and
learning. In this work, we investigate the similarity and differences in how
people and algorithms rank the surprisingness of facts. Our crowdsourcing
study, involving 106 participants, shows that computational models of surprise
can be used to artificially induce surprise in humans.
