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Outputs (18)

Toward a framework for Responsible AI in storytelling for nonprofit fundraising (2024)
Book Chapter
Herrero, M., & Concannon, S. (2024). Toward a framework for Responsible AI in storytelling for nonprofit fundraising. In G. Ugazio, & M. Maricic (Eds.), . Routledge. https://doi.org/10.4324/9781003468615-11

AI techniques offer novel and compelling possibilities for nonprofit fundraising (e.g., data science applications can provide a deeper understanding of audiences and donors, and generative methods can create more personalized and persuasive communica... Read More about Toward a framework for Responsible AI in storytelling for nonprofit fundraising.

Measuring perceived empathy in dialogue systems (2023)
Journal Article
Concannon, S., & Tomalin, M. (2024). Measuring perceived empathy in dialogue systems. AI and Society, 39(5), 2233–2247. https://doi.org/10.1007/s00146-023-01715-z

Dialogue systems, from Virtual Personal Assistants such as Siri, Cortana, and Alexa to state-of-the-art systems such as BlenderBot3 and ChatGPT, are already widely available, used in a variety of applications, and are increasingly part of many people... Read More about Measuring perceived empathy in dialogue systems.

An Interactional Account of Empathy in Human-Machine Communication (2023)
Journal Article
Concannon, S., Roberts, I., & Tomalin, M. (2023). An Interactional Account of Empathy in Human-Machine Communication. Human-machine communication journal, 6, 87-116. https://doi.org/10.30658/hmc.6.6

Efforts to develop empathetic agents, or systems capable of responding appropriately to emotional content, have increased as the deployment of such systems in socially complex scenarios becomes more commonplace. In the context of human-machine commun... Read More about An Interactional Account of Empathy in Human-Machine Communication.

COVID-19 and Science Advice on the ‘Grand Stage’: The Metadata and Linguistic Choices in a Scientific Advisory Groups’ Meeting Minutes. (2022)
Journal Article
Baker, H., Concannon, S., Meller, M., Cohen, K., Millington, A., Ward, S., & So, E. (2022). COVID-19 and Science Advice on the ‘Grand Stage’: The Metadata and Linguistic Choices in a Scientific Advisory Groups’ Meeting Minutes. Humanities and Social Sciences Communications, 9, Article 465. https://doi.org/10.1057/s41599-022-01403-1