Jim: A Platform for Affective AI in an Interdisciplinary Setting

Robert Selkowitz; Michael Heilemann; Jon Mrowczynski

doi:10.1609/aaai.v28i3.19042

Jim: A Platform for Affective AI in an Interdisciplinary Setting

Authors

Robert Selkowitz Canisius College
Michael Heilemann University of Rochester
Jon Mrowczynski Canisius College

DOI:

https://doi.org/10.1609/aaai.v28i3.19042

Abstract

We report on Jim, an inexpensive student designed platform for embodied affective AI. The project brings together students from backgrounds in computer science, physics, engineering, and Digital Media Arts (DMA) in an informal educational setting. The platform will be used in AI courses and autism treatment studies.

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Published

2014-07-27

How to Cite

Selkowitz, R., Heilemann, M., & Mrowczynski, J. (2014). Jim: A Platform for Affective AI in an Interdisciplinary Setting. Proceedings of the AAAI Conference on Artificial Intelligence, 28(3), 3050-3051. https://doi.org/10.1609/aaai.v28i3.19042