Collaborative Intelligent Systems



We use theories and models from Cognitive Science and Multimodal Interaction to construct and evaluate intelligent systems that observe and model human cognition in order to provide human-aware collaboration with intelligent systems. Our research involves constructing and evaluating systems that observe, model and interact with humans at sensorimotor, corporal, operational and cognitive levels.


Our research program combines scientific investigation along four research axes:

1. Multi-modal perception of human actions, attention and emotion.
2. Visual, acoustic and corporal displays for interaction with humans
3. On-line modeling of human awareness, emotion and understanding
4. Interactive multimodal behaviors in ambient collaborative situations: data, models and evaluation


1. Artificial Intelligence: a Rupture Technology for Innovation, AI4EU Web Café Webinar by James L. Crowley, 14 Nov 2019.
2. Artificial Intelligence for Human Computer Interaction - Keynote address by James Crowley, 31e Conférence sur l'Interaction Homme-Machine, IHM'19- 12 Dec 2019
3. Is Artificial Intelligence A Rupture Technology for Scientific Research? - Seminar Institut Neel, Univ Grenoble by J. L. Crowley - 31 Jan 2020
4. The Role of Emotion in Concept Formation and Recall during Problem Solving, Invited presentation at Humane AI Net workshop on AI and Human Memory, 23 Feb 2021.


  • N. Aboubakr, M. Popova, and J. L. Crowley, Color-based Fusion of MRI Modalities for Brain Tumor Segmentation, Proceedings of the 2021 International Conference on Medical Imaging and Computer Aided Diagnosis, MICAD 2021, April 2021

  • Koelsch L., F. Elisei, L. Ferrand, P. Chausse, G. Bailly & P. Huguet (2021) Impact of social presence of humanoid robots: does competence matter? International Conference on Social Robotics (ICSR), Singapore.

  • Perrotin O., A., Hussein, G. Bailly & T. Hueber (2021) Evaluating the extrapolation capabilities of neural vocoders to extreme pitch values, Interspeech, pp. 11-15, Brno, Czech Republic.

  • Tarpin-Bernard F., J. Fruitet, J.P. Vigne, P. Constant, H. Chainay, O. Koenig, F. Ringeval, B. Bouchot, G. Bailly, F. Portet, S. Alisamir, Y. Zhou, J. Serre, V. Delerue, H. Fournier, K. Berenger, I. Zsoldos, O. Perrotin, F. Elisei, M. Lengflet, C. Puaux, L. Pacheco, M. Fouillen & D. Ghenassia (2021) THERADIA: digital therapies augmented by Artificial Intelligence, International Conference on Applied Human Factors and Ergonomics (AHFE), New-York, USA.

  • Lenglet M., O. Perrotin & G. Bailly (2021) Impact of segmentation and annotation in French end-to-end synthesis, Speech Synthesis Workshop (SSW), pp. 13--18, Budapest, Hungary.

  • J. Cumin, G. Lefebvre, F. Ramparany and J. L. Crowley, "PSINES: Activity and Availability Prediction for Adaptive Ambient Intelligence", ACM Trans. Autonom. Adapt. Syst., TAAS, Vol. 15, No.1, pp 1-12. 2020.

  • M. Sarkis, C. Coutrix, L. Nigay, A. Duda ; WiBend: Wi-Fi for Sensing Passive Deformable Surfaces. Conference Proceedings of ACM-ICMI 2019, the 21st ACM International

  • Suzhou, Jiangsu, China, October 14-18, 2019, pp. 339-348.Conference on Multimodal Interaction, Association for Computing Machinery, New York, NY, USA
Published on  January 11, 2024
Updated on January 11, 2024