Bengisu Cagiltay
Email: bengisu@cs.wisc.edu

My research interests are shaped around designing child-robot interactions to support children’s social and intellectual development. My current work focuses on designing learning companions for children.
I received my MS degree in Cognitive Sciences and BS degree in Computer Sciences. My interdisciplinary research background allowed me to gain experiences in a wide range of topics including visual cognition and eye-tracking technologies, pragmatics/linguistics (conversational violations and Gricean Maxims), along with investigating in-class peer interactions of children with ASD, educational neuroscience, and neuromarketing projects.
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Cagiltay, B., H. R. Ho, J. Michaelis, and B. Mutlu. “Investigating Family Perceptions and Design Preferences for an in-Home robot”. Proceedings of the Interaction Design and Children Conference, 2020, pp. 229-42.
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White, N., B. Cagiltay, J. Michaelis, and B. Mutlu. “Designing Emotionally Expressive Social Commentary to Facilitate Child-Robot Interaction”. Interaction Design and Children, Association for Computing Machinery, 2021, pp. 314–325.
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Tang, B., D. Sullivan, B. Cagiltay, V. Chandrasekaran, K. Fawaz, and B. Mutlu. CONFIDANT: A Privacy Controller for Social Robots. Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction, 2022, p. 205-14.
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Lee, C., B. Cagiltay, and B. Mutlu. The Unboxing Experience: Exploration and Design of Initial Interactions Between Children and Social Robots. CHI ’22: CHI Conference on Human Factors in Computing Systems, 2022.
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Cagiltay, B., J. Michaelis, S. Sebo, and B. Mutlu. Exploring Children’s Preferences for Taking Care of a Social Robot. IDC ’22: Interaction Design and Children, 2022.
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Cagiltay, B., N. White, R. Ibtasar, B. Mutlu, and J. Michaelis. Understanding Factors That Shape Children’s Long Term Engagement With an In-Home Learning Companion Robot. IDC ’22: Interaction Design and Children, 2022.