Socially-acceptable Extended Reality Models and Systems

Informazioni relative al progetto

SERMAS

ID dell’accordo di sovvenzione: 101070351

DOI

10.3030/101070351

Progetto chiuso

Data della firma CE 20 Giugno 2022

Data di avvio 1 Ottobre 2022

Data di completamento 31 Ottobre 2025

Finanziato da

• Digital, Industry and Space

Costo totale

€ 4 444 228,75

Contributo UE

€ 4 444 228,75

Coordinato da

UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA
Italy

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (5)

Periodic progress report for Year 1

Periodic progress report for Year 1.This deliverable will include a section detailing the ethical and legal framework and current compliance of project activities.

Characterization of human mechanisms in interaction processes
Project presentation

Project presentation (includes logo and website, which will be updated regularly)

Specification of nonverbal communication software interface
Results of environment digitalization

Data Management Plan (1)

Data management plan

Data management plan (updated regularly)

Other (2)

Dialogue system capable of handling natural language inputs and outputs
First interim release of the nonverbal communication software module

Data sets, microdata, etc (1)

Datasets suitable for training, validation, and testing of modules, along with infrastructure to support data collection/processing

Websites, patent fillings, videos etc. (1)

SERMAS website

The SERMAS website will be updated regularly, until the end of the project (M36)

Pubblicazioni

Conference proceedings (22)

Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation

Autori: Tianyu Yang, Thy Tran, Iryna Gurevych
Pubblicato in: Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Editore: Association for Computational Linguistics
DOI: 10.18653/V1/2023.FINDINGS-EMNLP.313

The KCL-SAIR team's entry to the GENEA Challenge 2023 Exploring Role-based Gesture Generation in Dyadic Interactions: Listener vs. Speaker

Autori: Viktor Schmuck, Nguyen Tan Viet Tuyen, Oya Celiktutan
Pubblicato in: International Cconference on Multimodal Interaction, 2025
Editore: ACM
DOI: 10.1145/3610661.3616555

A Mixed Reality System for Interaction with Heterogeneous Robotic Systems

Autori: Valeria Villani, Beatrice Capelli, Lorenzo Sabattini
Pubblicato in: 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2024
Editore: IEEE
DOI: 10.1109/SMC53992.2023.10394172

The KCL-SAIR team's entry to the GENEA Challenge 2023 / Exploring Role-based Gesture Generation in Dyadic Interactions: Listener vs. Speaker

Autori: Viktor Schmuck, Nguyen Tan Viet Tuyen, Oya Celiktutan
Pubblicato in: ICMI2023, 2023
Editore: n/a
DOI: 10.1145/3610661.3616555

User Identification Procedures with Human Mutations: Formal Analysis and Pilot Study

Autori: Quamara, Megha; Viganò, Luca
Pubblicato in: 2025 IEEE 22nd International Conference on Software Architecture Companion (ICSA-C), 2025
Editore: IEEE
DOI: 10.5281/ZENODO.15168197

MASSXR 2025: The 3^rd Workshop on Multi-modal Affective and Social Behavior Analysis and Synthesis in Extended Reality (Affiliated with IEEE VR 2025)

Autori: Megha Quamara, Oya Celiktutan, Luca Viganò, Aniket Bera, Pablo Cesar, Funda Durupinar, Aline Normoyle, Chirag Raman, Zerrin Yumak
Pubblicato in: 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2025
Editore: IEEE
DOI: 10.1109/VRW66409.2025.00066

Exploring the most significant features for EEG ErrP detection through statistical analysis

Autori: Alessandra Fava, Valeria Villani, Lorenzo Sabattini
Pubblicato in: 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN), 2024
Editore: IEEE
DOI: 10.1109/RO-MAN60168.2024.10731260

Predicting the Intention to Interact with a Service Robot: the Role of Gaze Cues

Autori: Simone Arreghini, Gabriele Abbate, Alessandro Giusti, Antonio Paolillo
Pubblicato in: 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024
Editore: IEEE
DOI: 10.1109/ICRA57147.2024.10610289

The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification

Autori: Mohsen Mesgar, Thy Thy Tran, Goran Glavaš, Iryna Gurevych
Pubblicato in: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Editore: n/a
DOI: 10.18653/V1/2023.EACL-MAIN.135

CBF-Based Motion Planning for Socially Responsible Robot Navigation Guaranteeing STL Specification^*

Autori: Andrea Ruo, Lorenzo Sabattini, Valeria Villani
Pubblicato in: 2024 European Control Conference (ECC), 2024
Editore: IEEE
DOI: 10.23919/ECC64448.2024.10591282

Challenges in Detecting and Analyzing EEG Error-Related Potentials: Lessons from a Case Study in HRI

Autori: Alessandra Fava, Adriana Lucchese, Roberto Meattini, Gianluca Palli, Valeria Villani, Lorenzo Sabattini
Pubblicato in: 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN), 2024
Editore: IEEE
DOI: 10.1109/RO-MAN60168.2024.10731468

The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification

Autori: Mohsen Mesgar, Thy Thy Tran, Goran Glavaš, Iryna Gurevych
Pubblicato in: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Editore: Association for Computational Linguistics
DOI: 10.18653/V1/2023.EACL-MAIN.135

Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues

Autori: Dominic Petrak, Thy Thy Tran, Iryna Gurevych
Pubblicato in: Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Editore: Association for Computational Linguistics
DOI: 10.18653/V1/2024.FINDINGS-EMNLP.264

Learning From Free-Text Human Feedback – Collect New Datasets Or Extend Existing Ones?

Autori: Dominic Petrak, Nafise Moosavi, Ye Tian, Nikolai Rozanov, Iryna Gurevych
Pubblicato in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Editore: Association for Computational Linguistics
DOI: 10.18653/V1/2023.EMNLP-MAIN.1011

Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities

Autori: Jiahui Geng, Thy Thy Tran, Preslav Nakov, Iryna Gurevych
Pubblicato in: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Editore: Association for Computational Linguistics
DOI: 10.18653/V1/2025.ACL-LONG.146

AGV Traffic Management in Automated Industrial Plants: An Enhanced Lifelong Multi-Agent Path Finding Approach

Autori: Alessandro Bonetti, Silvia Proia, Simone Guidetti, Lorenzo Sabattini
Pubblicato in: 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), 2024
Editore: IEEE
DOI: 10.1109/CASE59546.2024.10711842

Hearing the Robot’s Mind: Sonification for Explicit Feedback in Human-Robot Interaction

Autori: Simone Arreghini, Antonio Paolillo, Gabriele Abbate, Alessandro Giusti
Pubblicato in: Springer Proceedings in Advanced Robotics, Human-Friendly Robotics 2024, 2025
Editore: Springer
DOI: 10.1007/978-3-031-81688-8_4

Gesticulating with NAO: Real-time Context-Aware Co-Speech Gesture Generation for Human-Robot Interaction

Autori: Nguyen Tan Viet Tuyen, Viktor Schmuck, Oya Celiktutan
Pubblicato in: ICMI2023, 2023
Editore: Association for Computing MachineryNew YorkNYUnited States
DOI: 10.1145/3610661.3620664

A Mixed Reality System for Interaction with Heterogeneous Robotic Systems

Autori: Valeria Villani, Beatrice Capelli, Lorenzo Sabattini
Pubblicato in: SMC2023, 2023
Editore: IEEE

Self-supervised prediction of the intention to interact with a service robot

Autori: Gabriele Abbate, Alessandro Giusti, Viktor Schmuck, Oya Celiktutan, Antonio Paolillo
Pubblicato in: Robotics and Autonomous Systems, 2023
Editore: Elsevier B.V.
DOI: 10.1016/j.robot.2023.104568

A Wearable Stereo Vision-Based Obstacle Detection System for Visually Impaired Individuals

Autori: Andrea Ruo, Dario Napolitano, Valeria Villani
Pubblicato in: Communications in Computer and Information Science, Agents and Robots for reliable Engineered Autonomy, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-08049-3_3

A Long-Range Mutual Gaze Detector for HRI

Autori: Simone Arreghini, Gabriele Abbate, Alessandro Giusti, Antonio Paolillo
Pubblicato in: Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2025
Editore: ACM
DOI: 10.1145/3610977.3637470

Peer reviewed articles (3)

TAG2G: A Diffusion-Based Approach to Interlocutor-Aware Co-Speech Gesture Generation

Autori: Filippo Favali, Viktor Schmuck, Valeria Villani, Oya Celiktutan
Pubblicato in: Electronics, Numero 13, 2025, ISSN 2079-9292
Editore: MDPI AG
DOI: 10.3390/ELECTRONICS13173364

Self-supervised prediction of the intention to interact with a service robot

Autori: Gabriele Abbate, Alessandro Giusti, Viktor Schmuck, Oya Celiktutan, Antonio Paolillo
Pubblicato in: Robotics and Autonomous Systems, Numero 171, 2025, ISSN 0921-8890
Editore: Elsevier BV
DOI: 10.1016/J.ROBOT.2023.104568

Imitation learning-based Direct Visual Servoing using the large projection formulation

Autori: Sayantan Auddy, Antonio Paolillo, Justus Piater, Matteo Saveriano
Pubblicato in: Robotics and Autonomous Systems, Numero 190, 2025, ISSN 0921-8890
Editore: Elsevier BV
DOI: 10.1016/J.ROBOT.2025.104971