Selected publication list; see also

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Yuri Sato, Koji Mineshima, and Kazuhiro Ueda. (2023). Can machines and humans use negation when describing images? Accepted In Proceedings of 2nd International Conference on Human and Artificial Rationalities (10 pages). Springer.

 Yuri Sato, Gem Stapleton, Mateja Jamnik, Zohreh Shams, and Andrew Blake. (2023). Human visual consistency-checking in the real world ontologies. In Proceedings of 2023 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2023) (pp.249-251). Los Alamitos, CA: IEEE Computer Society Press. [Link to PDF file]

Yuka Nojo, Tomoyuki Maekawa, Yuri Sato, and Kazuhiro Ueda. (2023). Relating aesthetic-value judgment to perception: An eye-tracking and computational study of Japanese art Ukiyo-e. In Proceedings of 45th Annual Conference of the Cognitive Science Society (pp.2282-2288). Austin, TX: Cognitive Science Society. [Link to PDF file]

Yuri Sato, Koji Mineshima, and Kazuhiro Ueda. (2023). Can negation be depicted? Comparing human and machine understanding of visual representations. Cognitive Science, 47, e13258, 26 pages [Link to PDF file]

Yuri Sato, Haruaki Fukuda, and Kazuhiro Ueda. (2022). Can vicarious agents follow the intent of clients' orders in making risk judgments? In Proceedings of the 10th International Conference on Human-Agent Interaction (HAI 2022), (pp.314-317). New York, NY: ACM. [Link to PDF file]

Yuri Sato, and Koji Mineshima (2022). Visually analyzing universal quantifiers in photograph captions. In  Diagrammatic Representation and Inference; Proceedings in 13th International Conference on the Theory and Application of Diagrams (Diagrams 2022), Lecture Notes in Artificial Intelligence,  vol. 13462 (pp. 373-377). Cham: Springer. [Link to PDF file]

Yuri Sato, and Koji Mineshima (2021). Can humans and machines classify photographs as depicting negation? In  Diagrammatic Representation and Inference; Proceedings of 12th International Conference on the Theory and Application of Diagrams (Diagrams 2021), Lecture Notes in Artificial Intelligence, vol. 12909 (pp.348-352). Cham:  Springer.  [Link to PDF file]

Yuri Sato, Koji Mineshima, and Kazuhiro Ueda. (2021). Visual representation of negation: Real world data analysis on comic image design. In Proceedings of 43rd Annual Conference of the Cognitive Science Society (pp.1166-1172). Austin, TX: Cognitive Science Society. [Link to PDF file] [arXiv]

佐藤 有理, 峯島 宏次. (2021). 論理の図形表現. 認知科学. 28, 139-152. (Yuri Sato and Koji Mineshima. (2021). Diagrams for logics.  Cognitive Studies: Bulletin of the Japanese Cognitive Science Society, 28, 139-152) [Link to PDF file]

Yuri Sato and Koji Mineshima. (2020).  Depicting negative information in photographs, videos, and comics: a preliminary analysis.  In Diagrammatic Representation and Inference; Proceedings of 11th International Conference on the Theory and Application of Diagrams (Diagrams 2020), Lecture Notes in Artificial Intelligence, vol. 12169 (pp.485-489). Cham:  Springer. [Link to PDF file]

Yuri Sato, Gem Stapleton, Mateja Jamnik, and Zohreh Shams. (2019). Human inference beyond syllogisms: an approach using external graphical representations. Cognitive Processing, 20, 103-115. [Link to PDF file]

Yuri Sato, Gem Stapleton, Mateja Jamnik, and Zohreh Shams. (2018). Deductive reasoning about expressive statements using external graphical representations. In Proceedings of the 40th Annual Conference of the Cognitive Science Society (pp. 2415-2420). Austin, TX: Cognitive Science Society. [Link to PDF file]

Zohreh Shams, Yuri Sato, Mateja Jamnik, and Gem Stapleton. (2018). Accessible reasoning with diagrams: from cognition to automation. In Diagrammatic Representation and Inference; Proceedings of 10th International Conference on the Theory and Application of Diagrams (Diagrams 2018), Lecture Notes in Artificial Intelligence, vol. 10871 (pp.247-263), Switzerland: Springer. [Link to PDF file]

Yuri Sato, Yutaro Sugimoto, and Kazuhiro Ueda. (2018). Real objects can impede conditional reasoning but augmented objects do not. Cognitive Science, 42, 691-707. [Link to PDF file] 

Yuri Sato, Yuichiro Wajima, and Kazuhiro Ueda. (2018). Strategy analysis of non-consequence inference with Euler diagrams. Journal of Logic, Language and Information, 27, 61-77. [Link to PDF file]

Yuri Sato, Gem Stapleton, Mateja Jamnik, Zohreh Shams, and Andrew Blake. (2017). How network-based and set-based visualizations aid consistency checking in ontologies. In Proceedings of 10th International Symposium on Visual Information Communication and Interaction (VINCI 2017), (pp. 137-141). New York, NY: ACM. [Link to PDF file]

Yuri Sato and Koji Mineshima. (2016). Human reasoning with proportional quantifiers and its support by diagrams. In Diagrammatic Representation and Inference; Proceedings of 9th International Conference on the Theory and Application of Diagrams (Diagrams 2016), Lecture Notes in Artificial Intelligence, vol. 9781 (pp. 123-138), Switzerland: Springer. [Link to PDF file]

Yuri Sato and Koji Mineshima. (2015). How diagrams can support syllogistic reasoning: an experimental study. Journal of Logic, Language and Information, 24, 409-455. [Link to PDF file]

Yuri Sato, Sayako Masuda, Yoshiaki Someya, Takeo Tsujii, and Shigeru Watanabe. (2015). An fMRI analysis of the efficacy of Euler diagrams in logical reasoning. In Proceedings of 2015 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2015) (pp.143-151). Los Alamitos, CA: IEEE Computer Society Press. [Link to PDF file] BEST PAPER AWARD 

Yutaro Sugimoto and Yuri Sato. (2015). A specification-aware modeling of mental model theory for syllogistic reasoning. In Proceedings of the13th International Conference on Cognitive Modeling (ICCM 2015) (pp. 31-36). Groningen, the Netherlands: University of Groningen. [Link to PDF file]

Yutaro Sugimoto and Yuri Sato. (2015). Logic and types in cognitive modeling: a case of mental model theory of reasoning. In A Research Report on Logic and Decision Making -- Supplementary Report of Logic Research Group (pp. 3-19), The Research Center for Thinking and Behavioral Judgment, Keio University.

Yuri Sato, Shigeyuki Nakayama, and Yutaro Sugimoto. (2014). Tarskian model theoretic analysis for mental model theory of deductive reasoning. In A Report of Research Center for Thinking and Behavioral Judgment, 2014 (pp. 67-79), Research Center for Thinking and Behavioral Judgment, Keio University.

Yuri Sato, Yuichiro Wajima, and Kazuhiro Ueda. (2014). Visual bias of diagram in logical reasoning. In Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 2883-2888). Austin, TX: Cognitive Science Society. [Link to PDF file]

Yuri Sato, Yuichiro Wajima, and Kazuhiro Ueda. (2014). An empirical study of diagrammatic inference process by recording the moving operation of diagrams. In Diagrammatic Representation and Inference; Proceedings of the 8th International Conference on the Theory and Application of Diagrams (Diagrams 2014), Lecture Notes in Artificial Intelligence, vol. 8578 (pp. 190-197), Heidelberg: Springer-Verlag. [Link to PDF file]

Koji Mineshima, Yuri Sato, Ryo Takemura, and Mitsuhiro Okada. (2014). Towards explaining the cognitive efficacy of Euler diagrams in syllogistic reasoning: a relational perspective. Journal of Visual Languages and Computing, 25, 156-169.  [Link to PDF file]

Yutaro Sugimoto, Yuri Sato, and Shigeyuki Nakayama. (2013). Towards a formalization of mental model reasoning for syllogistic fragments. In Proceedings of the 1st International Workshop on Artificial Intelligence and Cognition (AIC 2013), CEUR Workshop Proceedings, vol. 1100 (pp. 140-145), CEUR-WS.org. [Link to PDF file]

Yuri Sato. (2013). The Cognitive Efficacy of Diagrammatic Representations in Logical Reasoning. PhD thesis, Keio University.

Koji Mineshima, Yuri Sato, Ryo Takemura, and Mitsuhiro Okada. (2012). On the cognitive efficacy of Euler diagrams in syllogistic reasoning: a relational perspective. In Proceedings of the 3rd International Workshop on Euler Diagrams (Euler Diagrams 2012), CEUR Workshop Proceedings, vol. 854 (pp. 17-31), CEUR-WS.org. [Link to PDF file] BEST PAPER AWARD

Yuri Sato, and Koji Mineshima. (2012). The efficacy of diagrams in syllogistic reasoning: a case of linear diagrams. In Diagrammatic Representation and Inference; Proceedings of the 7th International Conference on the Theory and Application of Diagrams (Diagrams 2012), Lecture Notes in Artificial Intelligence, vol. 7352 (pp. 352-355), Heidelberg: Springer-Verlag. [Link to PDF file]

Yuri Sato, Koji Mineshima, and Ryo Takemura. (2011). Interpreting logic diagrams: a comparison of two formulations of diagrammatic representations. In Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 2182-2187). Austin, TX: Cognitive Science Society. [Link to PDF file]

Yuri Sato, Koji Mineshima, and Ryo Takemura. (2010). Children's reasoning with logic diagrams. In David N. Rapp (Ed.), Spatial Cognition 2010: Poster Presentations, SFB/TR 8 Report, No. 024-07/2010, (pp. 81-84). [Link to PDF file]

Yuri Sato, Koji Mineshima, and Ryo Takemura. (2010). Constructing internal diagrammatic proofs from external logic diagrams. In Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 2668-2673). Austin, TX: Cognitive Science Society. [Link to PDF file] 

Yuri Sato, Koji Mineshima, and Ryo Takemura. (2010). The efficacy of Euler and Venn diagrams in deductive reasoning: Empirical findings. In Diagrammatic Representation and Inference; Proceedings of the 6th International Conference on the Theory and Application of Diagrams (Diagrams 2010), Lecture Notes in Artificial Intelligence, vol. 6170 (pp. 6-22), Heidelberg: Springer-Verlag. [Link to PDF file] 

Koji Mineshima, Mitsuhiro Okada, Yuri Sato and Ryo Takemura. (2008). Diagrammatic reasoning system with Euler circles: theory and experiment design. In  Diagrammatic Representation and Inference; Proceedings of the 5th International Conference on the Theory and Application of Diagrams (Diagrams 2008), Lecture Notes in Artificial Intelligence, vol. 5223 (pp. 188-205), Heidelberg: Springer-Verlag. [Link to PDF file] 

Yuri Sato, Ryo Takemura, Koji Mineshima, Chizuru Shikishima, Yutaro Sugimoto, Juko Ando and Mitsuhiro Okada. (2008). Some remarks on deductive syllogistic reasoning studies: towards an integrated methodology of logical and psychological approaches. In Reports on Interdisciplinary Logic Inference Studies (pp. 3-32), Keio University Press.