Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
Identifying the function of problem behavior can lead to the development of more effective interventions. One way to identify the function is through functional behavior assessmen...
Gillian R. Hayes, Lamar M. Gardere, Gregory D. Abo...
End-to-end evaluations of conversational dialogue systems with naive users are currently uncovering severe usability problems that result in low task completion rates. Preliminary...
Several studies have found that the Cranfield approach to evaluation can report significant performance differences between retrieval systems for which little to no performance...
The goal of the Virtual Humans Project at the University of Southern California’s Institute for Creative Technologies is to enrich virtual training environments with virtual hum...
Patrick G. Kenny, Arno Hartholt, Jonathan Gratch, ...