Outputs (3)

Participatory Design for Positive Impact: Behind the Scenes of Three NLP Projects (2025)
Presentation / Conference Contribution
Wilson, M., Howcroft, D. M., Konstas, I., Gkatzia, D., & Abercrombie, G. (2025, July). Participatory Design for Positive Impact: Behind the Scenes of Three NLP Projects. Presented at ACL 2025 Workshop on NLP for Positive Impact (NLP4PI 2025), Vienna

Researchers in Natural Language Processing (NLP) are increasingly adopting participatory design (PD) principles to better achieve positive outcomes for stakeholders. This paper evaluates two PD perspectives proposed by Delgado et al. (2023) and Casel... Read More about Participatory Design for Positive Impact: Behind the Scenes of Three NLP Projects.

Exploring the relationship between listener receptivity and source of music recommendations (2025)
Presentation / Conference Contribution
Vargheese, J. P., Wilson, M., Stephen, K., Salzano, R., & Brazier, D. (2025, April). Exploring the relationship between listener receptivity and source of music recommendations. Presented at The 47th European Conference on Information Retrieval, Lucca, Tuscany

Music recommender systems are utilised by many music streaming platforms to provide new artist and song recommendations on a person-alised basis to listeners. By applying dynamic data modelling techniques, music recommender systems add to the current... Read More about Exploring the relationship between listener receptivity and source of music recommendations.

Participatory Design with Domain Experts: A Delphi Study for a Career Support Chatbot (2024)
Presentation / Conference Contribution
Wilson, M., Brazier, D., Gkatzia, D., & Robertson, P. (2024, July). Participatory Design with Domain Experts: A Delphi Study for a Career Support Chatbot. Presented at ACM Conversational User Interfaces 2024 (CUI ’24), Luxembourg, Luxembourg

We present a study of collaboration with expert participants for the purpose of the responsible design of a conversational agent. The Delphi study was used to identify and develop design and evaluation criteria for an automated career support interve... Read More about Participatory Design with Domain Experts: A Delphi Study for a Career Support Chatbot.