Jonas Frenkel
Photo: SCIoI
Jonas has a background in psychology and human factors. With a keen interest in the interplay between humans and machines, his research focuses on the field of human-robot interaction in general and social robotics in particular. Prior to joining SCIoI, he worked on developing robotic therapy scenarios for children with autism by using emotion-sensitive technology. At SCIoI, he is working on Project 31, developing computational models of nonverbal social behaviors in order to improve our understanding of the underlying principles of social interactions and to eventually allow synthetic agents to perceive and appropriately react to social cues.
Projects
Jonas Frenkel is member of:
Publications +
6984777
Frenkel
1
apa
50
date
desc
year
19849
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Petković, U., Frenkel, J., Lazarides, R., & Hellwich, O. (2026). Modeling Student Engagement in the Wild: Analysis from Classroom Video. Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 439–446. https://doi.org/10.5220/0014468800004084
Petković, U., Frenkel, J., Hellwich, O., & Lazarides, R. (2025). Modeling Teacher Nonverbal Immediacy: Refinement and Analysis. Adaptive Behavior, 33(5–6), 347–363. https://doi.org/10.1177/10597123251374920
Lazarides, R., Frenkel, J., Daumiller, M., Dresel, M., Petković, U., Hellwich, O., & Göllner, R. (2025). Disentangling teacher and lesson variance and their relations to supportive learning environments: A machine learning assessment of teacher nonverbal behavior. Journal of Educational Psychology. https://doi.org/10.1037/edu0000999
Lazarides, R., Frenkel, J., Petković, U., Göllner, R., & Hellwich, O. (2025). ‘No words’—Machine-learning classified nonverbal immediacy and its role in connecting teacher self-efficacy with perceived teaching and student interest. British Journal of Educational Psychology, 95(S1), S15–S31. https://doi.org/10.1111/bjep.12732
Petković, U., Frenkel, J., Hellwich, O., & Lazarides, R. (2025). Nonverbal Immediacy Analysis in Education: A Multimodal Computational Model. In O. Brock & J. Krichmar (Eds.), From Animals to Animats 17 (pp. 326–338). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-71533-4_26
Frenkel, J., Cajar, A., Engbert, R., & Lazarides, R. (2024). Exploring the impact of nonverbal social behavior on learning outcomes in instructional video design. Scientific Reports, 14(1), 12867. https://doi.org/10.1038/s41598-024-63487-w
For the public -
Panel Discussion with Dafna Burema, Mattis Jacobs, and Jonas Frenkel, “Artificial Intelligence: Examples of AI gone wrong and Ethical Questions”
For the Public -
Science of Intelligence Fair 2023
Phys.org – September 2024 - What nonverbal cues reveal about online learning and robotics
Health Medicine Network – September 2024 - What nonverbal cues reveal about online learning and robotics
