Towards Human-Machine Collaboration: Multimodal Group Potency Estimation
Published in In INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION (ICMI 2022), 2022
Recommended citation: Nicola Corbellini. 2022. Towards Human-Machine Collaboration: Multimodal Group Potency Estimation. In INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION (ICMI 22), November 7–11, 2022, Bengaluru, India. ACM, New York, NY, USA https://doi.org/10.1145/3536221.3557035
Doctoral Consortium paper published in the context of the International Conference on Multimodal Interaction (ICMI 2022) illustrating the goals and stages of my PhD project. Namely, the development of a computational model of [group potency] [1] a machine could be endowed with in the perspective of building [Hybrid Intelligence] [2] systems.
Recommended citation:
- ACM: Nicola Corbellini. 2022. Towards Human-Machine Collaboration: Multimodal Group Potency Estimation. In INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION (ICMI 22), November 7–11, 2022, Bengaluru, India. ACM, New York, NY, USA.
[1] Guzzo, R. A., Yost, P. R., Campbell, R. J., & Shea, G. P. (1993). Potency in groups: Articulating a construct. British journal of social psychology, 32(1), 87-106, url: https://bpspsychub.onlinelibrary.wiley.com/toc/20448309/1993/32/1.
[2] Dellermann, D., Ebel, P., Söllner, M., & Leimeister, J. M. (2019). Hybrid intelligence. Business & Information Systems Engineering, 61(5), 637-643, url: https://link.springer.com/article/10.1007/s12599-019-00595-2.