Magzhan Mukanova

Magzhan Mukanova

Ph.D. student in Computer Graphics Technology at Purdue University researching embodied virtual agents, character animation, and human-computer interaction.

Animated Pedagogical Agents Performing Affective Gestures Extracted from the GEMEP Dataset: Can People Recognize Their Emotions?

Published in ArtsIT 2023, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 565, 2024

This paper investigates whether people can recognize emotions expressed by animated pedagogical agents through affective gestures extracted from the GEMEP dataset. The study focuses on how arm and hand gestures can support emotional expression in animated agents.

The work was published in the ArtsIT 2023 proceedings as part of Springer’s Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Recommended citation: Mukanova, M., Adamo-Villani, N., Mousas, C., Zhao, F., Choi, M., Lam, L., & Hauser, K. (2024). Animated Pedagogical Agents Performing Affective Gestures Extracted from the GEMEP Dataset: Can People Recognize Their Emotions? In A. L. Brooks (Ed.), ArtsIT, Interactivity and Game Creation. ArtsIT 2023, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 565. Springer, Cham.
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