Dissemination

Conferences:

[C1] D’Errico, L., Esposito, R., Matarese, M., Mele, V., Mungari, A., Roscica, M., & Staffa, M. (2025, September). Emotivation in Human-Robot Interaction for Affective Behavioral Adaptation. In International Conference on Social Robotics (pp. 37-49). Singapore: Springer Nature Singapore.

[C2] M. Cimafonte, L. D’Errico, M. Matarese and M. Staffa, "Behavioral Variability and Mental State Attribution: Exploring Human Perceptions of Robot Theory of Mind in an Inverted Paradigm," 2025 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Eindhoven, Netherlands, 2025, pp. 2389-2394, doi: 10.1109/RO-MAN63969.2025.11217916.

[C3] Marino, L., D’Errico, L., Matarese, M., Cangelosi, A., & Staffa, M. (2024, October). Theory of mind assessment in human-robot interaction. In International Conference on Social Robotics (pp. 33-42). Singapore: Springer Nature Singapore.

[C4] Staffa, M., De Benedictis, R., Amaro, I., Citarella, A. A., De Marco, F., Di Biasi, L., ... & Tortora, G. (2024, June). First results of the restart national project. In Italian Forum of Ambient Assisted Living (pp. 224-242). Cham: Springer Nature Switzerland.

[C5] Greco, D., Barra, P., D’Errico, L., Staffa, M. (2024). Multimodal Interfaces for Emotion Recognition: Models, Challenges and Opportunities. In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI. HCII 2024. Lecture Notes in Computer Science, vol 14735. Springer, Cham. https://doi.org/10.1007/978-3-031-60611-3_11

[C6] Staffa, M., D’Errico, L., Francese, R. (2024). Emphasizing with a Robot with a Personality. In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI. HCII 2024. Lecture Notes in Computer Science, vol 14736. Springer, Cham. https://doi.org/10.1007/978-3-031-60615-1_19

[C7] D'Errico, L., Di Nardo, E., Ciaramella, A., & Staffa, M. (2024, March). A 3d-cnns approach to classify users' emotion through eeg-based topographical maps in hri. In Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (pp. 397-401).

[C8] Ruggiero, F., Matarese, M., Sciutti, A., & Staffa, M. (2024). Enhancing Cognitive Training: Investigating the Impact of a Suggestion-Offering Robot on Performance and Satisfaction. In RfH@ AVI.

[C9] M. Staffa and L. D’Errico, "Can a robot elicit emotions? A Global Optimization Model to attribute mental states to human users in HRI*," 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Busan, Korea, Republic of, 2023, pp. 863-868, doi: 10.1109/RO-MAN57019.2023.10309485.

[C10] Staffa, M., D’Errico, L. (2023). EEG-Based Machine Learning Models for Emotion Recognition in HRI. In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI. HCII 2023. Lecture Notes in Computer Science, vol 14051. Springer, Cham. https://doi.org/10.1007/978-3-031-35894-4_21

Journals:

[J1] Staffa, M., D’Errico, L., & Maratea, A. (2024). Influence of social identity and personality traits in human–robot interactions. Robotics, 13(10), 144.

[J2] Staffa M, D'Errico L, Sansalone S and Alimardani M (2023) Classifying human emotions in HRI: applying global optimization model to EEG brain signals. Front. Neurorobot. 17:1191127. doi: 10.3389/fnbot.2023.1191127