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What Does That ?-Block Do? Learning Latent Causal Affordances From Mario Play Traces., , , and . AAAI Workshops, volume WS-17 of AAAI Technical Report, AAAI Press, (2017)Story Quality as a Matter of Perception: Using Word Embeddings to Estimate Cognitive Interest., , and . AIIDE, page 3-9. AAAI Press, (2019)Remember That Time? Telling Interesting Stories from Past Interactions., , and . ICIDS, volume 9445 of Lecture Notes in Computer Science, page 93-104. Springer, (2015)Modeling social interestingness in conversational stories., and . ACSW, page 66:1-66:6. ACM, (2017)Crowdsourcing the construction of a 3D object recognition database for robotic grasping., , and . ICRA, page 4526-4531. IEEE, (2014)Investigating the Use of Word Embeddings to Estimate Cognitive Interest in Stories., , and . CogSci, page 1388-1394. cognitivesciencesociety.org, (2019)Curating Interest in Open Story Generation.. University of California, Santa Cruz, USA, (2019)CADI - A Conversational Assistive Design Interface for Discovering Pong Variants., , and . AIIDE, page 194-200. AAAI Press, (2018)The Learning of Zelda: Data-Driven Level Generation for Action Role Playing Games., , , and . FDG, Society for the Advancement of the Science of Digital Games, (2015)Cognitive and Experiential Interestingness in Abstract Visual Narrative., , , and . CogSci, cognitivesciencesociety.org, (2018)