Pay attention!: designing adaptive agents that monitor and improve user engagement
By Daniel J. Szafir, Bilge Mutlu. International Conference on Human Factors in Computing Systems, 2012
353 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/83e8751d5dbe8a2de566486d002bd7dd59b28210
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In Artificial Intelligence
In Cognitive Neuroscience
Citations in the corpus
- Social eye gaze in human-robot interaction (2017, background): “The effectiveness of a robot tutor’s gaze behaviors can be revealed by the amount of information a user is able to recall from the interaction (Andrist, Pejsa, Mutlu, & Gleicher, 2012a; Szafir & Mutlu, 2012).”
- The Robot Who Tried Too Hard: Social Behaviour of a Robot Tutor Can Negatively Affect Child Learning (2015, background): “Aspects of social behaviour, such as gestures, have been used by a robot to attract student attention when they lose focus, greatly improving their recall of information after the task [22].”