Embodied Machine Learning

This project is a second iteration of an already published study on multi-touch interfaces for collaboratively exploring complex machine learning workflows. I was invited to join the team to co-design and facilitate the user study, lead participant recruitment, and contribute to the paper writing and figure rendition for this second publication.

Manuscript in Progress

Embodied Machine Learning
Bakogeorge, A., Imitaz, S.A., Abu Hantash, N., Manshaei, R., Mazalek, A. 2024. Proceedings of the Eighteenth International Conference on Tangible, Embedded and Embodied Interaction (TEI '24). ACM, New York, NY, USA, Article 22, 1-12. DOI: 10.1145/3623509.363370/

  • Helping to facilitate the user study recruitment and collection of data. Analyzing and shaping the data into the manuscript for evaluation.

  • Can a tangible tabletop system support collaborative work, training an AI to detect complex biological cell patterns?

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