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All 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. (2023). Measuring perceived empathy in dialogue systems. AI and Society, 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

How Natural is Argument in Natural dialogue?
Presentation / Conference Contribution
Concannon, S., Healey, P., & Purver, M. (2016, December). How Natural is Argument in Natural dialogue?. Presented at In The 16th Workshop on Computational Models of Natural Argument, at IJCAI, New York

Applying Computational Analysis to Textual Data from the Wild
Presentation / Conference Contribution
Concannon, S. J., Balaam, M., Simpson, E., & Comber, R. (2018, December). Applying Computational Analysis to Textual Data from the Wild. Presented at Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Taking a Stance: a Corpus Study of Reported Speech
Presentation / Conference Contribution
Concannon, S., Purver, M., & Healey, P. (2015, December). Taking a Stance: a Corpus Study of Reported Speech. Presented at SemDial 2015 (goDIAL), Gothenburg, Sweden

New/s Design: Informing Future Design Processes by Understanding Media Reporting of Medical Errors with Medical Devices [invited paper]
Presentation / Conference Contribution
Myketiak, C., Concannon, S., & Curzon, P. (2015, December). New/s Design: Informing Future Design Processes by Understanding Media Reporting of Medical Errors with Medical Devices [invited paper]. Presented at Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare - 'Transforming healthcare through innovations in mobile and wireless technologies'