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An Attention-Driven Computational Model of Human Causal Reasoning.

, , , and . CogSci, cognitivesciencesociety.org, (2018)

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Facilitating Mental Modeling in Collaborative Human-Robot Interaction through Adverbial Cues., and . SIGDIAL Conference, page 239-247. The Association for Computer Linguistics, (2011)An Attention-Driven Computational Model of Human Causal Reasoning., , , and . CogSci, cognitivesciencesociety.org, (2018)Enumeration by pattern recognition requires attention: Evidence against immediate holistic processing of canonical patterns., , and . CogSci, cognitivesciencesociety.org, (2018)Neither the time nor the place: omissive causes yield temporal inferences., , , , and . AIC, volume 2483 of CEUR Workshop Proceedings, page 68-80. CEUR-WS.org, (2019)Planning for serendipity., , , , , , and . IROS, page 5300-5306. IEEE, (2015)Generating Quantified Referring Expressions with Perceptual Cost Pruning., and . INLG, page 11-18. Association for Computational Linguistics, (2019)How Robots Can Affect Human Behavior: Investigating the Effects of Robotic Displays of Protest and Distress., and . I. J. Social Robotics, 6 (3): 343-355 (2014)Reflections on the Design Challenges Prompted by Affect-Aware Socially Assistive Robots., , and . Emotions and Personality in Personalized Services, Springer, (2017)DS-based uncertain implication rules for inference and fusion applications., , , , , , and . FUSION, page 1934-1941. IEEE, (2013)Actions speak louder than looks: Does robot appearance affect human reactions to robot protest and distress?, , , and . RO-MAN, page 1122-1127. IEEE, (2014)