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Cognitive Anthropomorphism of AI: How Humans and Computers Classify Images.. CoRR, (2020)Adapting the task-taxon-task methodology to model the impact of chemical protective gear., , , , , и . Comput. Math. Organ. Theory, 17 (3): 251-271 (2011)Explainable AI: roles and stakeholders, desirements and challenges., , , , и . Frontiers Comput. Sci., (2023)Improving Users' Mental Models of Intelligent Software Tools., и . IEEE Intelligent Systems, 26 (2): 77-83 (2011)The calibration of trust in an automated system: A sensemaking process., , , и . CTS, стр. 390-395. IEEE, (2010)Collaborative Explainable AI: A Non-algorithmic Approach to Generating Explanations of AI., , и . HCI (44), том 1498 из Communications in Computer and Information Science, стр. 144-150. Springer, (2021)Testing the effectiveness of crossword games on immediate and delayed memory for scientific vocabulary and concepts., и . CogSci, cognitivesciencesociety.org, (2018)Evaluating path planning in human-robot teams: Quantifying path agreement and mental model congruency., , и . CogSIMA, стр. 1-7. IEEE, (2017)Cognitive perspectives on opinion dynamics: the role of knowledge in consensus formation, opinion divergence, and group polarization., и . J. Comput. Soc. Sci., 1 (1): 15-48 (2018)Preface., , и . AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, том FS-09-01 из AAAI Technical Report, AAAI, (2009)