Publications by Iolanda Leite
Peer reviewed
Articles
[1]
S. Gillet et al., "Interaction-Shaping Robotics : Robots That Influence Interactions between Other Agents," ACM Transactions on Human-Robot Interaction, vol. 13, no. 1, 2024.
[2]
I. Torre et al., "Smiling in the Face and Voice of Avatars and Robots : Evidence for a ‘smiling McGurk Effect’," IEEE Transactions on Affective Computing, vol. 15, no. 2, pp. 393-404, 2024.
[3]
L. Morillo-Mendez et al., "Can the robot "see" what I see? : Robot gaze drives attention depending on mental state attribution," Frontiers in Psychology, vol. 14, 2023.
[4]
F. I. Dogan, G. I. Melsión and I. Leite, "Leveraging Explainability for Understanding Object Descriptions in Ambiguous 3D Environments," Frontiers in Robotics and AI, vol. 9, 2023.
[5]
Y. Mohamed et al., "Multi-modal Affect Detection Using Thermal and Optical Imaging in a Gamified Robotic Exercise," International Journal of Social Robotics, 2023.
[6]
B. Orthmann et al., "Sounding Robots : Design and Evaluation of Auditory Displays for Unintentional Human-robot Interaction," ACM Transactions on Human-Robot Interaction, vol. 12, no. 4, 2023.
[7]
S. Petisca et al., "Human Dishonesty in the Presence of a Robot : The Effects of Situation Awareness," International Journal of Social Robotics, vol. 14, no. 5, pp. 1211-1222, 2022.
[8]
M. R. Fraune et al., "Lessons Learned About Designing and Conducting Studies From HRI Experts," Frontiers in Robotics and AI, vol. 8, 2022.
[9]
S. Tuncer, S. Gillet and I. Leite, "Robot-Mediated Inclusive Processes in Groups of Children : From Gaze Aversion to Mutual Smiling Gaze," Frontiers in Robotics and AI, vol. 9, 2022.
[10]
J. Gross et al., "TECoSA – Trends, Drivers, and Strategic Directions for Trustworthy Edge Computing in Industrial Applications," INSIGHT, vol. 25, no. 4, pp. 29-34, 2022.
[11]
A. Galatolo et al., "The Right (Wo)Man for the Job? : Exploring the Role of Gender when Challenging Gender Stereotypes with a Social Robot," International Journal of Social Robotics, 2022.
[12]
S. van Waveren et al., "Exploring Non-Expert Robot Programming Through Crowdsourcing," Frontiers in Robotics and AI, vol. 8, 2021.
[13]
F. I. Dogan et al., "The impact of adding perspective-taking to spatial referencing during human-robot interaction," Robotics and Autonomous Systems, vol. 134, 2020.
[14]
R. Vinuesa et al., "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, vol. 11, no. 1, 2020.
[15]
A. Paiva et al., "Empathy in Virtual Agents and Robots : A Survey," ACM Transactions on Interactive Intelligent Systems, vol. 7, no. 3, 2017.
Conference papers
[16]
N. Rahimzadagan et al., "Drone Fail Me Now: How Drone Failures Afect Trust and Risk-Taking Decisions," in HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, pp. 862-866.
[17]
E. Yadollahi et al., "Explainability for Human-Robot Collaboration," in HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, pp. 1364-1366.
[18]
S. Zojaji et al., "Join Me Here if You Will : Investigating Embodiment and Politeness Behaviors When Joining Small Groups of Humans, Robots, and Virtual Characters," in Proceedings of the 2024 chi conference on human factors in computing sytems (CHI 2024), 2024.
[19]
S. Holk, D. Marta and I. Leite, "PREDILECT: Preferences Delineated with Zero-Shot Language-based Reasoning in Reinforcement Learning," in HRI 2024 - Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, pp. 259-268.
[20]
S. Gillet et al., "Shielding for socially appropriate robot listening behaviors," in 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2024.
[21]
D. Marta et al., "Aligning Human Preferences with Baseline Objectives in Reinforcement Learning," in 2023 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2023), 2023.
[22]
I. Torre et al., "Can a gender-ambiguous voice reduce gender stereotypes in human-robot interactions?," in 2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, 2023, pp. 106-112.
[23]
E. Bartoli, F. I. Dogan and I. Leite, "Contextualized Knowledge Graph Embeddings for Activity Prediction in Service Robotics," in Workshop on Semantic Scene Understanding for Human-Robot Interaction, ACM/IEEE International Conference on Human Robot Interaction, 2023.
[24]
P. Khanna et al., "Effects of Explanation Strategies to Resolve Failures in Human-Robot Collaboration," in 2023 32nd IEEE international conference on robot and human interactive communication, RO-MAN, 2023, pp. 1829-1836.
[25]
K. Winkle et al., "Feminist human-robot interaction : disentangling power, principles and practice for beter, more ethical HRI," in HRI 2023 : Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023, pp. 72-82.
[26]
S. van Waveren et al., "Generating Scenarios from High-Level Specifications for Object Rearrangement Tasks," in 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023, 2023, pp. 11420-11427.
[27]
B. J. Zhang et al., "Hearing it Out : Guiding Robot Sound Design through Design Thinking," in 2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, 2023, pp. 2064-2071.
[28]
M. T. Parreira et al., "How Did We Miss This? : A Case Study on Unintended Biases in Robot Social Behavior," in HRI 2023 : Companion of the ACM/IEEE International Conference on Human-Robot Interaction, 2023, pp. 11-20.
[29]
P. Khanna et al., "How do Humans take an Object from a Robot : Behavior changes observed in a User Study," in HAI 2023 - Proceedings of the 11th Conference on Human-Agent Interaction, 2023, pp. 372-374.
[30]
S. van Waveren et al., "Increasing perceived safety in motion planning for human-drone interaction," in HRI 2023 : Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023, pp. 446-455.
[31]
A. Galatolo, I. Leite and K. Winkle, "Personality-Adapted Language Generation for Social Robots," in 2023 32nd IEEE international conference on robot and human interactive communication, RO-MAN, 2023, pp. 1800-1807.
[32]
S. Zojaji et al., "Persuasive polite robots in free-standing conversational groups," in Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), 2023, pp. 1-8.
[33]
M. Romeo et al., "Putting Robots in Context : Challenging the Influence of Voice and Empathic Behaviour on Trust," in 2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, 2023, pp. 2045-2050.
[34]
A. Linard et al., "Real-Time RRT* with Signal Temporal Logic Preferences," in 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023, 2023, pp. 8621-8627.
[35]
M. T. Parreira, S. Gillet and I. Leite, "Robot Duck Debugging : Can Attentive Listening Improve Problem Solving?," in ICMI 2023 : Proceedings of the 25th International Conference on Multimodal Interaction, 2023, pp. 527-536.
[36]
D. Marta et al., "VARIQuery: VAE Segment-Based Active Learning for Query Selection in Preference-Based Reinforcement Learning," in 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023, 2023, pp. 7878-7885.
[37]
D. Marta et al., "VARIQuery: VAE Segment-based Active Learning for Query Selection in Preference-based Reinforcement Learning," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023, October 1 – 5, 2023, Detroit, Michigan, USA., 2023.
[38]
G. I. Melsión et al., "What's at Stake? : Robot explanations matter for high but not low-stake scenarios," in 2023 32nd IEEE international conference on robot and human interactive communication, RO-MAN, 2023, pp. 2421-2426.
[39]
J. T. Almeida, I. Leite and E. Yadollahi, "Would you help me? : Linking robot's perspective-taking to human prosocial behavior," in HRI 2023 : Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023, pp. 388-397.
[40]
F. I. Dogan, I. Torre and I. Leite, "Asking Follow-Up Clarifications to Resolve Ambiguities in Human-Robot Conversation," in ACM/IEEE International Conference on Human-Robot Interaction, 2022, pp. 461-469.
[41]
Y. Mohamed et al., "Automatic Frustration Detection Using Thermal Imaging," in PROCEEDINGS OF THE 2022 17TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI '22), 2022, pp. 451-460.
[42]
S. van Waveren et al., "Correct Me If I'm Wrong: Using Non-Experts to Repair Reinforcement Learning Policies," in Proceedings of the 17th ACM/IEEE International Conference on Human-Robot Interaction, 2022, pp. 493-501.
[43]
M. T. Parreira et al., "Design Implications for Effective Robot Gaze Behaviors in Multiparty Interactions," in PROCEEDINGS OF THE 2022 17TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI '22), 2022, pp. 976-980.
[44]
A. Güneysu Özgür et al., "Designing Tangible Robot Mediated Co-located Games to Enhance Social Inclusion for Neurodivergent Children," in Proceedings of Interaction Design and Children, IDC 2022, 2022, pp. 536-543.
[45]
S. Gillet et al., "Ice-Breakers, Turn-Takers and Fun-Makers : Exploring Robots for Groups with Teenagers," in 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2022, pp. 1474-1481.
[46]
A. Panesar, F. I. Dogan and I. Leite, "Improving Visual Question Answering by Leveraging Depth and Adapting Explainability," in 2022 31St Ieee International Conference On Robot And Human Interactive Communication (Ieee Ro-Man 2022), 2022, pp. 252-259.
[47]
A. Linard et al., "Inference of Multi-Class STL Specifications for Multi-Label Human-Robot Encounters," in 2022 IEEE/RSJ international conference on intelligent robots and systems (IROS), 2022, pp. 1305-1311.
[48]
M. Iovino et al., "Interactive Disambiguation for Behavior Tree Execution," in 2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids), 2022.
[49]
S. Gillet et al., "Learning Gaze Behaviors for Balancing Participation in Group Human-Robot Interactions," in HRI '22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction, 2022, pp. 265-274.
[50]
K. Winkle et al., "Norm-Breaking Responses to Sexist Abuse : A Cross-Cultural Human Robot Interaction Study," in PROCEEDINGS OF THE 2022 17TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI '22), 2022, pp. 120-129.
[51]
F. Ruggeri et al., "Safety-based Dynamic Task Offloading for Human-Robot Collaboration using Deep Reinforcement Learning," in 2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2022, pp. 2119-2126.
[52]
K. Winkle et al., "Boosting robot credibility and challenging gender norms in responding to abusive behaviour : A case for feminist robots," in ACM/IEEE International Conference on Human-Robot Interaction, 2021, pp. 29-37.
[53]
I. Torre et al., "Dimensional perception of a ‘smiling McGurkeffect’," in 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII), 2021.
[54]
J. Karlsson et al., "Encoding Human Driving Styles in Motion Planning for Autonomous Vehicles," in 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021, pp. 11262-11268.
[55]
A. Iucci et al., "Explainable Reinforcement Learning for Human-Robot Collaboration," in 2021 20Th International Conference On Advanced Robotics (ICAR), 2021, pp. 927-934.
[56]
C. F. Weldon et al., "Exploring non-verbal gaze behavior in groups mediated by an adaptive robot," in ACM/IEEE International Conference on Human-Robot Interaction, 2021, pp. 357-361.
[57]
A. Linard et al., "Formalizing Trajectories in Human-Robot Encounters via Probabilistic STL Inference," in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, pp. 9857-9862.
[58]
P. Jonell et al., "Mechanical Chameleons : Evaluating the effects of a social robot’snon-verbal behavior on social influence," in Proceedings of SCRITA 2021, a workshop at IEEE RO-MAN 2021, 2021.
[59]
S. Gillet et al., "Robot Gaze Can Mediate Participation Imbalance in Groups with Different Skill Levels," in Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 2021, pp. 303-311.
[60]
G. I. Melsión et al., "Using Explainability to Help Children UnderstandGender Bias in AI," in Proceedings of Interaction Design and Children, IDC 2021, 2021, pp. 87-99.
[61]
M. R. Fraune, N. Karatas and I. Leite, "Workshop YOUR study design! Participatory critique and refinement of participants' studies," in ACM/IEEE International Conference on Human-Robot Interaction, 2021, pp. 688-690.
[62]
S. Gillet and I. Leite, "A Robot Mediated Music Mixing Activity for Promoting Collaboration among Children," in Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2020, 2020, pp. 212-214.
[63]
S. Gillet, W. van den Bos and I. Leite, "A social robot mediator to foster collaboration and inclusion among children," in Robotics : Science and systems XVI, 2020.
[64]
D. Kontogiorgos et al., "Embodiment Effects in Interactions with Failing Robots," in CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 2020.
[65]
T. Kucherenko et al., "Gesticulator : A framework for semantically-aware speech-driven gesture generation," in ICMI '20: Proceedings of the 2020 International Conference on Multimodal Interaction, 2020.
[66]
F. I. Dogan and I. Leite, "Open Challenges on Generating Referring Expressions for Human-Robot Interaction," in The 2nd Workshop on NLG for HRI at the International Conference on Natural Language Generation (INLG) December 18, 2020, (virtual), 2020.
[67]
R. Li et al., "Comparing Human-Robot Proxemics between Virtual Reality and the Real World," in HRI '19 : 2019 14TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, 2019, pp. 431-439.
[68]
F. Correia et al., "Exploring Prosociality in Human-Robot Teams," in HRI '19 : 2019 14TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, 2019, pp. 143-151.
[69]
E. Sibirtseva et al., "Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality," in Virtual, Augmented and Mixed Reality. Multimodal Interaction 11th International Conference, VAMR 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings, 2019, pp. 108-123.
[70]
S. van Waveren et al., "Knock on Wood: The Effects of Material Choice on the Perception of Social Robots," in Lecture Notes in Artificial Intelligence series (LNAI), 2019.
[71]
F. I. Dogan, S. Kalkan and I. Leite, "Learning to Generate Unambiguous Spatial Referring Expressions for Real-World Environments," in IEEE International Conference on Intelligent Robots and Systems, 2019, pp. 4992-4999.
[72]
B. Irfan et al., "Personalization in Long-Term Human-Robot Interaction," in HRI '19 : 2019 14TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, 2019, pp. 685-686.
[73]
S. van Waveren, E. J. Carter and I. Leite, "Take one for the team : The effects of error severity in collaborative tasks with social robots," in IVA 2019 - Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents, 2019, pp. 151-158.
[74]
E. Sibirtseva et al., "A Comparison of Visualisation Methods for Disambiguating Verbal Requests in Human-Robot Interaction," in Proceedings 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) 2018, 2018.
[75]
S. Engelhardt, E. Hansson and I. Leite, "Better faulty than sorry : Investigating social recovery strategies to minimize the impact of failure in human-robot interaction," in WCIHAI 2017 Workshop on Conversational Interruptions in Human-Agent Interactions : Proceedings of the first Workshop on Conversational Interruptions in Human-Agent Interactions co-located with 17th International Conference on International Conference on Intelligent Virtual Agents (IVA 2017) Stockholm, Sweden, August 27, 2017., 2017, pp. 19-27.
[76]
M. Sun et al., "Collaborative storytelling between robot and child : A feasibility study," in IDC 2017 - Proceedings of the 2017 ACM Conference on Interaction Design and Children, 2017, pp. 205-214.
[77]
J. Kennedy et al., "Learning and reusing dialog for repeated interactions with a situated social agent," in 17th International Conference on Intelligent Virtual Agents, IVA 2017, 2017, pp. 192-204.
[78]
J. Beskow et al., "Preface," in 17th International Conference on Intelligent Virtual Agents, IVA 2017, 2017, pp. V-VI.
Non-peer reviewed
Articles
[79]
D. Marta et al., "Human-Feedback Shield Synthesis for Perceived Safety in Deep Reinforcement Learning," IEEE Robotics and Automation Letters, vol. 7, no. 1, pp. 406-413, 2022.
Conference papers
[80]
G. Castellano et al., "Chairs' Welcome," in Proceedings HRI '23: ACM/IEEE International Conference on Human-Robot Interaction, 2023.
[81]
G. Castellano et al., "Chairs' welcome," in Proceedings 18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023, 2023.
[82]
A. Linard et al., "Real-time RRT* with Signal Temporal Logic Preferences," in 2023 IEEE/RSJ international conference on intelligent robots and systems (IROS), 2023.
Chapters in books
[83]
B. Sirmacek et al., "The Potential of Artificial Intelligence for Achieving Healthy and Sustainable Societies," in The Ethics of Artificial Intelligence for the Sustainable Development Goals, Francesca Mazzi, Luciano Floridi Ed., : Springer Nature, 2023, pp. 65-96.
Other
[84]
G. F. Schuppe et al., "Follow my Advice : Assume-Guarantee Approach to Task Planning with Human in the Loo," (Manuscript).
[85]
S. van Waveren et al., "Increasing Perceived Safety in Motion Planning for Human-Drone Interaction," (Manuscript).
[86]
S. van Waveren et al., "Large-Scale Scenario Generation for Robotic Manipulation via Conditioned Generative Models," (Manuscript).
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