Correia, N. N., & Tanaka, A. (in press). Embodied Interaction and Audio-Visuals in the Performing Arts. In S. Gibson, Y. Breuleux, J. Hyde, & D. Leishman (Eds.), Audio-Visualism: Refraining Relationships Between Sound & Image. Routledge.
Correia, N. N. (in press). How Are Dance Artists Designing with AI in Their Practice? Six Case Studies from the MODINA Project. Proceedings of CHI26 Workshop: Where Is the Body in Designing (Through) AI? Frictions and Opportunities in Integrating AI with Soma Design. CHI26.
Correia, N. N., Hieda, N., dos Santos, D., Cabral, D., Primett, W., Burloiu, G., Deaconescu, S., Bétourné, C., Levy, M., Sullivan, J., & Fdili Alaoui, S. (2026). Fantasies Obscurities and (Dis)Connections: Three Case Studies of Dance Artists’ Creative Embodied and Political Engagement with AI. Proceedings of the 10th International Conference on Movement and Computing, MOCO ’26, 1–10. https://doi.org/10.1145/3802842.3802874 (open access)
Primett, W., & Correia, N. N. (2026). Supporting entrainment using latent space mappings and generative sound feedback during dyadic movement exercises. Proceedings of the Twentieth International Conference on Tangible, Embedded, and Embodied Interaction, TEI ’26, 1–11. https://doi.org/10.1145/3731459.3773328 (open access)
Primett, W., N. Correia, N., Hieda, N., & Matos, A. (2025). Designing for Kinaesthetic Empathy using Data-Driven Movement Matching. Proceedings of the 2025 12th International Conference on Digital and Interactive Arts: Media Art Cultures, Communities & Territories, ARTECH ’25, 1–10. https://doi.org/10.1145/3773699.3774351 (open access)
Correia, N. N., & Primett, W. (2025). Understanding the Use of AI in Contemporary Dance: Perspectives from Practitioners. Proceedings of the 2025 12th International Conference on Digital and Interactive Arts: Media Art Cultures, Communities & Territories, ARTECH ’25, 1–4. https://doi.org/10.1145/3773699.3773723 (open access)
Correia, N. N., & Primett, W. (2024). Best Practices for Technology-Mediated Audience Interaction in Dance Performances.9th International Conference on Movement and Computing, 1–6. https://doi.org/10.1145/3658852.3659083 (open access)