Gaspar Isaac Melsión

According to our database, Gaspar Isaac Melsión authored at least 9 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

The Right (Wo)Man for the Job? Exploring the Role of Gender when Challenging Gender Stereotypes with a Social Robot.

Alessio Galatolo, Gaspar Isaac Melsión, Iolanda Leite, Katie Winkle

Int. J. Soc. Robotics, November, 2023

What's at Stake? Robot explanations matter for high but not low-stake scenarios.

Gaspar Isaac Melsión, Rebecca Stower, Katie Winkle, Iolanda Leite

Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

2022

Human-Feedback Shield Synthesis for Perceived Safety in Deep Reinforcement Learning.

Daniel Marta, Christian Pek, Gaspar Isaac Melsión, Jana Tumova, Iolanda Leite

IEEE Robotics Autom. Lett., 2022

Leveraging explainability for understanding object descriptions in ambiguous 3D environments.

Fethiye Irmak Dogan, Gaspar Isaac Melsión, Iolanda Leite

Frontiers Robotics AI, 2022

The potential of artificial intelligence for achieving healthy and sustainable societies.

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

CoRR, 2022

Norm-Breaking Responses to Sexist Abuse: A Cross-Cultural Human Robot Interaction Study.

Katie Winkle, Ryan Blake Jackson, Gaspar Isaac Melsión, Drazen Brscic, Iolanda Leite, Tom Williams

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

2021

Leveraging Explainability for Comprehending Referring Expressions in the Real World.

Fethiye Irmak Dogan, Gaspar Isaac Melsión, Iolanda Leite

CoRR, 2021

Boosting Robot Credibility and Challenging Gender Norms in Responding to Abusive Behaviour: A Case for Feminist Robots.

Katie Winkle, Gaspar Isaac Melsión, Donald McMillan, Iolanda Leite

Proceedings of the Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 2021

Using Explainability to Help Children UnderstandGender Bias in AI.

Gaspar Isaac Melsión, Ilaria Torre, Eva Vidal, Iolanda Leite

Proceedings of the IDC '21: Interaction Design and Children, 2021