393 citations · 825 across the 21 of their papers we have counts for
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cs.AI2020★ 1 cited
The Human Effect Requires Affect: Addressing Social-Psychological Factors of Climate Change with Machine Learning
Kyle Tilbury, Jesse Hoey
Machine learning has the potential to aid in mitigating the human effects of climate change. Previous applications of machine learning to tackle the human effects in climate change…
cs.CL2020★ 9 cited
Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory
Nabiha Asghar, Ivan Kobyzev, Jesse Hoey +2
State-of-the-art neural dialogue systems excel at syntactic and semantic modelling of language, but often have a hard time establishing emotional alignment with the human interacta…
cs.MA2020★ 3 cited
Multi-Agent Reinforcement Learning and Human Social Factors in Climate Change Mitigation
Kyle Tilbury, Jesse Hoey
Many complex real-world problems, such as climate change mitigation, are intertwined with human social factors. Climate change mitigation, a social dilemma made difficult by the in…