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Syntactic alignment between computers and people: The role of belief about mental states.

, , , , and . Proceedings of the 25th Annual Conference of the Cognitive Science Society (CogSci), (2003)

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Novel Labels Increase Category Coherence, But Only When People Have the Goal to Coordinate., , and . Cogn. Sci., (2019)Priming the interpretation of noun-noun combinations, , and . Journal of Memory and Language, 57 (3): 380--395 (2007)They Know as Much as We Do: Knowledge Estimation and Partner Modelling of Artificial Partners., , , , and . CogSci, cognitivesciencesociety.org, (2017)Comparing Perceptions of Static and Adaptive Proactive Speech Agents., , , and . CUI, page 25. ACM, (2024)Investigating syntactic alignment in spoken natural language human-computer communication., , and . CHI Extended Abstracts, page 2113-2118. ACM, (2011)Syntactic alignment between computers and people: The role of belief about mental states., , , , and . Proceedings of the 25th Annual Conference of the Cognitive Science Society (CogSci), (2003)Syntactic priming in spoken production: Linguistic and temporal interference, , , and . Memory and Cognition, (1297-1302 2000)Why Dialogue Methods are Important for Investigating Spatial Language., , and . Spatial Language and Dialogue, volume 3 of Explorations in language and space, Oxford University Press, (2009)When the Words Don't Matter: Arbitrary labels improve categorical alignment through the anchoring of categories., , and . CogSci, cognitivesciencesociety.org, (2016)Does voice anthropomorphism affect lexical alignment in speech-based human-computer dialogue?, and . INTERSPEECH, page 155-159. ISCA, (2015)