Kathleen Fraser

Papers

Total Citations

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About

Kathleen Fraser is a leading researcher in natural language processing (NLP) and human-robot interaction, with a focus on computational social science and affective computing. Her work explores how people express emotions and attitudes toward technology, particularly in the context of social robots and artificial intelligence. In her highly cited 2019 paper, "How do we feel when a robot dies? Emotions expressed on Twitter before and after hitch," Fraser and her co-authors analyzed public sentiment on Twitter surrounding the shutdown of the social robot Hitch, revealing nuanced emotional responses and demonstrating the power of NLP for studying human-robot relationships. This study, with 23 citations, exemplifies her ability to bridge computational methods with social and ethical questions. Fraser’s contributions extend to sentiment analysis, emotion detection, and the development of resources for understanding language in digital and interactive contexts. Her work has been recognized for its interdisciplinary impact, informing both AI design and public discourse on technology. With a growing citation record, Fraser continues to shape how researchers and developers understand the emotional dimensions of human-machine interaction.