Social Intelligence and Theory of Mind
Social Intelligence and Theory of Mind
Embedded Files
CADE Project: Endowing an AI with Theory of Mind using probabilistic behavior languages
CADE Project: Endowing an AI with Theory of Mind using probabilistic behavior languages
This work explores developing inverse behavior language - in particular inverse HAP developed by Charles River Analytics to do plan and goal recognition. We use a combination of PPL and visualization to allow experts to correct behavior models encoded.
Publications:
To come.
Team: Erica Kleinman, Stefany Arevalo Escobar
Team: Erica Kleinman, Stefany Arevalo Escobar
Alumni: Andy Bryant, Murtuza Shergadwala, Zhaoqing Teng
Alumni: Andy Bryant, Murtuza Shergadwala, Zhaoqing Teng
Partners: Charles River Analytics
Partners: Charles River Analytics
Funders: ONR, CRA
Warmth and Competence
Warmth and Competence
How to develop agents that engender trust? In this project we experimented with embedding gestures that can evoke warmth and competence in virtual embodied characters.
Publications:
Publications:
Nguyen, T. H. D., Carstensdottir, E., Ngo, N., El-Nasr, M. S., Gray, M., Isaacowitz, D., & Desteno, D. (2015, August). Modeling warmth and competence in virtual characters. In International Conference on Intelligent Virtual Agents (pp. 167-180). Springer, Cham. [pdf]
Team: Elin Carstensdottir, Sharon Carnicke, Stacy Marsella
Team: Elin Carstensdottir, Sharon Carnicke, Stacy Marsella
Funders: Northeastern University (tier 1 grant)
Endowing an AI with Theory of Mind using cognitive modeling
Endowing an AI with Theory of Mind using cognitive modeling
Publications:
Shergadwala, M. N., & Seif El-Nasr, M. (2021). Esports Agents with a Theory of Mind: Towards Better Engagement, Education, and Engineering. arXiv preprint arXiv:2103.04940. [PDF]
Team: Erica Kleinman, Murtuza Shergadwala, Zhaoqing Teng, Thanh Long X. Vu
Team: Erica Kleinman, Murtuza Shergadwala, Zhaoqing Teng, Thanh Long X. Vu
Partners: Co-Design Lab at UC Berkeley
Funders: CITRIS
Learning Theory of Mind using Active Analysis and Crowd Sourcing
Learning Theory of Mind using Active Analysis and Crowd Sourcing
This work explores the use of crowd sourcing and active analysis as a technique to acquire a narrative model that can encode theory of mind and social intelligence.
Publications:
Publications:
Feng, D., Sequeira, P., Carstensdottir, E., El-Nasr, M. S., & Marsella, S. (2018, December). Learning generative models of social interactions with humans-in-the-loop. In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 509-516). IEEE. [PDF]
Feng, D., Carstensdottir, E., El-Nasr, M. S., & Marsella, S. (2019). Exploring improvisational approaches to social knowledge acquisition. [PDF]
Feng, D., Carstensdottir, E., Carnicke, S. M., El-Nasr, M. S., & Marsella, S. (2016, November). An active analysis and crowd sourced approach to social training. In International Conference on Interactive Digital Storytelling (pp. 156-167). Springer, Cham. [PDF]
Feng, D., Sequeira, P., Carstensdottir, E., El-Nasr, M. S., & Marsella, S. (2018, December). Learning generative models of social interactions with humans-in-the-loop. In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 509-516). IEEE. [PDF]
Feng, D., Carstensdottir, E., El-Nasr, M. S., & Marsella, S. (2019). Exploring improvisational approaches to social knowledge acquisition. [PDF]
Feng, D., Carstensdottir, E., Carnicke, S. M., El-Nasr, M. S., & Marsella, S. (2016, November). An active analysis and crowd sourced approach to social training. In International Conference on Interactive Digital Storytelling (pp. 156-167). Springer, Cham. [PDF]
Team: Dan Feng, Elin Carstensdottir, Sharon Carnicke, Stacy Marsella
Team: Dan Feng, Elin Carstensdottir, Sharon Carnicke, Stacy Marsella
Funders: NSF
Page updated
Report abuse