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Towards establishing a 'cooperation' measure for coupled movement in close-proximity human-robot interaction (2020)
Presentation / Conference
Camilleri, A., Hong, J., Dogramadzi, S., & Caleb-Solly, P. (2020, May). Towards establishing a 'cooperation' measure for coupled movement in close-proximity human-robot interaction. Presented at ICRA 2020

To achieve safe close-proximity human-robot interaction , particularly for physically assitive tasks, robot motion planning needs to recognize and adapt to the behaviour of humans in the long-term. Generally, motion prediction with probabilistic conf... Read More about Towards establishing a 'cooperation' measure for coupled movement in close-proximity human-robot interaction.

Social network influence ranking via embedding network interactions for user recommendation (2020)
Conference Proceeding
Bo, H., McConville, R., Hong, J., & Liu, W. (2020). Social network influence ranking via embedding network interactions for user recommendation. In WWW '20: Companion Proceedings of the Web Conference 2020 (379-384). https://doi.org/10.1145/3366424.3383299

Within social networks user influence may be modelled based on user interactions. Further, it is typical to recommend users to others. What is the role of user influence in user recommendation In this paper, we first propose to use a node embedding a... Read More about Social network influence ranking via embedding network interactions for user recommendation.