238 citations · 331 across the 6 of their papers we have counts for
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cs.AI2018★ 50 cited
AI in Education needs interpretable machine learning: Lessons from Open Learner Modelling
Cristina Conati, Kaska Porayska-Pomsta, Manolis Mavrikis
Interpretability of the underlying AI representations is a key raison d'être for Open Learner Modelling (OLM) -- a branch of Intelligent Tutoring Systems (ITS) research. OLMs provi…
cs.AI2014★ 12 cited
Interpreting social cues to generate credible affective reactions of virtual job interviewers
Hazael Jones, Nicolas Sabouret, Ionut Damian +4
In this paper we describe a mechanism of generating credible affective reactions in a virtual recruiter during an interaction with a user. This is done using communicative performa…