| Boosting Robot Credibility and Challenging Gender Norms in Responding to Abusive Behaviour: A Case for Feminist Robots K Winkle, GI Melsión, D McMillan, I Leite Companion of the 2021 ACM/IEEE International Conference on Human-Robot …, 2021 | 92 | 2021 |
| Using Explainability to Help Children Understand Gender Bias in AI GI Melsión, I Torre, E Vidal, I Leite ACM Interaction Design and Children (IDC 2021), 87-99, 2021 | 48 | 2021 |
| Norm-breaking responses to sexist abuse: a cross-cultural human robot interaction study K Winkle, RB Jackson, GI Melsión, D Brščić, I Leite, T Williams 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2022 | 33 | 2022 |
| The potential of artificial intelligence for achieving healthy and sustainable societies B Sirmaçek, S Gupta, F Mallor, H Azizpour, Y Ban, H Eivazi, H Fang, ... The ethics of artificial intelligence for the sustainable development goals …, 2023 | 15 | 2023 |
| Human-feedback shield synthesis for perceived safety in deep reinforcement learning D Marta, C Pek, GI Melsión, J Tumova, I Leite IEEE Robotics and Automation Letters 7 (1), 406-413, 2021 | 13 | 2021 |
| The right (wo) man for the job? exploring the role of gender when challenging gender stereotypes with a social robot A Galatolo, GI Melsión, I Leite, K Winkle International Journal of Social Robotics 15 (11), 1933-1947, 2023 | 12 | 2023 |
| Leveraging explainability for comprehending referring expressions in the real world FI Dogan, GI Melsion, I Leite arXiv preprint arXiv:2107.05593, 2021 | 8 | 2021 |
| Leveraging explainability for understanding object descriptions in ambiguous 3D environments FI Doğan, GI Melsión, I Leite Frontiers in Robotics and AI 9, 937772, 2023 | 4 | 2023 |
| What’s at Stake? Robot explanations matter for high but not low-stake scenarios GI Melsion, R Stower, K Winkle, I Leite 2023 32nd IEEE International Conference on Robot and Human Interactive …, 2023 | 2 | 2023 |
| Leveraging Explainable Machine Learning to Raise Awareness among Preadolescents about Gender Bias in Supervised Learning GI Melsión KTH Royal Institute of Technology; UPC Universitat Politècnica de Catalunya, 2020 | 1* | 2020 |
| Evaluation of the usage of LiFi for on-board applications GI Melsión UPC Universitat Politècnica de Catalunya, 2017 | | 2017 |
Iolanda LeiteAssociate Professor at KTH Royal Institute of TechnologyVerified email at kth.se
