MAGAZINE ARTICLES
Sousa Silva, R., Han, Z., & Williams, T. (2023). The Importance of Memory for Language-Capable Robots. XRDS: Crossroads, The ACM Magazine for Students, 30(1), 58-63.
PEER REVIEWED CONFERENCE PUBLICATIONS
Nourriz, S., Houston, R., Matocha, J., Cranor, S., Sousa Silva, R., Smith, N., & Smith, C. E. (2024). Keep me posted: Developing a social bot for an online computational social science community on reddit. In Review.
Sousa Silva, R., Smith, C., Bezerra, L., & Williams, T. (2024). Toward RAPS: the Robot Autonomy Perception Scale. In Proceedings of the Variable Autonomy for Human-Robot Teaming Workshop held at the 33rd IEEE International Conference on Robot and Human Interactive Communication (VAT RO-MAN 2024).
Sousa Silva, R., & Williams, T. (2024). Uncovering the Rules of Entity-Level Robotic Working Memory. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 46).
Sousa Silva, R., & Williams, T. (2024). Say What? Analyzing the Impact of an Entity-Level Model of Working Memory Forgetting on Referring Expression Generation. In Technological Advances in Human-Robot Interaction, 2024.
Sousa Silva, R., & Williams, T. (2024). Handling working memory knowledge through a consultant-level resource management strategy. In Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction.
Sousa Silva, R., Lieng, M., Muly, E., & Williams, T. (2023). Worth the Wait: Understanding How the Benefits of Performative Autonomy Depend on Communication Latency. In 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE.
Sousa Silva, R., Lieng, M., & Williams, T. (2023). Forget About It: Entity-Level Working Memory Models for Referring Expression Generation in Robot Cognitive Architectures. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 45, No. 45).
Sousa Silva, R., & Williams, T. (2023, March). Enabling Human-like Language-Capable Robots Through Working Memory Modeling. In Proceedings of the 2023 ACM/IEEE Human-Robot Interaction Pioneers Workshop.
Culpepper, W., Bennett, T. A., Zhu, L., Sousa Silva, R., Jackson, R. B., & Williams, T. (2022). IPOWER: Incremental, Probabilistic, Open-World Reference Resolution. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 44, No. 44).