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2020 – today
- 2023
[j3]Alessio Galatolo
, Gaspar Isaac Melsión, Iolanda Leite, Katie Winkle:
The Right (Wo)Man for the Job? Exploring the Role of Gender when Challenging Gender Stereotypes with a Social Robot. Int. J. Soc. Robotics 15(11): 1933-1947 (2023)- [c4]Gaspar Isaac Melsión, Rebecca Stower, Katie Winkle, Iolanda Leite:
What's at Stake? Robot explanations matter for high but not low-stake scenarios. RO-MAN 2023: 2421-2426 - 2022
- [j2]Fethiye Irmak Dogan, Gaspar Isaac Melsión, Iolanda Leite:
Leveraging explainability for understanding object descriptions in ambiguous 3D environments. Frontiers Robotics AI 9 (2022) - [j1]Daniel Marta, Christian Pek, Gaspar Isaac Melsión, Jana Tumova, Iolanda Leite:
Human-Feedback Shield Synthesis for Perceived Safety in Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 7(1): 406-413 (2022) - [c3]Katie Winkle, Ryan Blake Jackson, Gaspar Isaac Melsión, Drazen Brscic, Iolanda Leite, Tom Williams:
Norm-Breaking Responses to Sexist Abuse: A Cross-Cultural Human Robot Interaction Study. HRI 2022: 120-129 - [i2]Beril Sirmaçek, S. Gupta, Fermín Mallor, Hossein Azizpour, Yifang Ban, Hamidreza Eivazi, H. Fang, F. Golzar, Iolanda Leite, Gaspar Isaac Melsión, Kevin Smith, F. Fuso Nerini, Ricardo Vinuesa:
The potential of artificial intelligence for achieving healthy and sustainable societies. CoRR abs/2202.07424 (2022) - 2021
- [c2]Gaspar Isaac Melsión, Ilaria Torre, Eva Vidal, Iolanda Leite:
Using Explainability to Help Children UnderstandGender Bias in AI. IDC 2021: 87-99 - [c1]Katie Winkle, Gaspar Isaac Melsión, Donald McMillan, Iolanda Leite:
Boosting Robot Credibility and Challenging Gender Norms in Responding to Abusive Behaviour: A Case for Feminist Robots. HRI (Companion) 2021: 29-37 - [i1]Fethiye Irmak Dogan, Gaspar Isaac Melsión, Iolanda Leite:
Leveraging Explainability for Comprehending Referring Expressions in the Real World. CoRR abs/2107.05593 (2021)
Coauthor Index
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