Publications

• Kalirai, M., Williams, C., Kuzminykh, A. "Toward Faceted Skill Recommendation in Intelligent Personal Assistants". In Proceedings of the 29th International Conference on Intelligent User Interfaces. ACM, 2024

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• Herdel, V., Kuzminykh, A., Parmet, Y., Cauchard, J. "Anthropomorphism and Affective Perception: Dimensions, Measurements, and Interdependencies in Aerial Robotics". IEEE Transactions on Affective Computing (2024). Harvard

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• Bhattacharjee, A., Zeng, Y., Xu, S.Y., Kulzhabayeva, D., Ma, M., Kornfield, R., Ahmed, S.I., Mariakakis, A., Czerwinski, M.P., Kuzminykh, A., Liut, M. "Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination". In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. ACM, 2024

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• Reza, M., Laundry, N., Musabirov, I., Dushniku, P., Yu, Z.Y., Mittal, K., Grossman, T., Liut, M., Kuzminykh, A., Williams, J.J., "ABScribe: Rapid Exploration of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models". In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. ACM, 2024

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• Ponochevnyi, N., Kuzminykh, A. “Chart What I Say: Exploring Cross-Modality Prompt Alignment in AI-Assisted Chart Authoring”. In Proceedings of the 2024 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, 2024

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• Ferguson, S., Akemi Aoyagui, P., Rizvi, R., Kim, Y., Kuzminykh, A. “The Explanation That Hits Home: The Characteristics of Verbal Explanations That Affect Human Perception in Subjective Decision-Making”. 2024 CSCW, ACM

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• Kumar, H., Musabirov, I., Reza, M., Shi, J., Kuzminykh, A., Willliams, J.J., Liut, M. “Guiding Students in Using LLMs in Supported Learning Environments: Effects on Interaction Dynamics, Learner Performance, Confidence, and Trust”. 2024 CSCW, ACM

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• Ferguson, S., Akemi Aoyagui, P., Rizvi, R., Kim, Y., Kuzminykh, A. “Just Like Me: The Role of Opinions and Personal Experiences in The Perception of Explanations in Subjective Decision-Making”. TREW 2024 (Trust and Reliance in Evolving Human-AI Workflows) at CHI’24

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• Akemi Aoyagui, P., Ferguson, S., Kuzminykh, A. “Exploring Subjectivity for more Human-Centric Assessment of Biases in Large Language Models”. HEAL 2024 (Human-centered Evaluation and Auditing of Language Models) at CHI'24

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• Kumar, H., Yoo, S., Bernuy, A.Z., Shi, J., Luo, H., Kuzminykh, A., Anderson, A., Kornfield, R. “LLM Agents Can Improve Engagement with Behavior Change Interventions: A Case Study on Mindfulness”. International Conference on Computational Social Science (IC2S2) 2024.

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• Desai, S., Wei, C., Sin, J., Dubiel, M., Zargham, N., Ahire, S., Porcheron, M., Kuzminykh, A., Lee, M., Candello, H., Fischer, J., Munteanu, C., Cowan, B.R. “CUI@CHI 2024: Building Trust in CUIs—From Design to Deployment”. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems.

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