Jim: A Platform for Affective AI in an Interdisciplinary Setting

Robert Selkowitz, Michael Heilemann, Jon Mrowczynski

AAAI 2014 pp. 3052-3054

doi:10.1609/AAAI.V28I3.19042 /aaai/2014/selkowitz2014aaai-jim/

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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Cite

Text

Selkowitz et al. "Jim: A Platform for Affective AI in an Interdisciplinary Setting." AAAI Conference on Artificial Intelligence, 2014. doi:10.1609/AAAI.V28I3.19042

Markdown

[Selkowitz et al. "Jim: A Platform for Affective AI in an Interdisciplinary Setting." AAAI Conference on Artificial Intelligence, 2014.](https://mlanthology.org/aaai/2014/selkowitz2014aaai-jim/) doi:10.1609/AAAI.V28I3.19042

BibTeX

@inproceedings{selkowitz2014aaai-jim,
  title     = {{Jim: A Platform for Affective AI in an Interdisciplinary Setting}},
  author    = {Selkowitz, Robert and Heilemann, Michael and Mrowczynski, Jon},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2014},
  pages     = {3052-3054},
  doi       = {10.1609/AAAI.V28I3.19042},
  url       = {https://mlanthology.org/aaai/2014/selkowitz2014aaai-jim/}
}