5 citations · 8 across the 7 of their papers we have counts for
12 papers
HiBRIDGE: A Hierarchical Bayesian Neural Network Framework for Interpretable Dialogue Management in Group-Robot Interaction
Massimiliano Nigro, Hatice Gunes, Micol Spitale +1
In multi-party human-robot interaction, a robot must continuously decide whom to address and what to say to participate effectively in the conversation. In real-world interactions,…
Technology-assisted Journal Writing for Improving Student Mental Wellbeing: Humanoid Robot vs. Voice Assistant
Batuhan Sayis, Hatice Gunes
Conversational agents have a potential in improving student mental wellbeing while assisting them in self-disclosure activities such as journalling. Their embodiment might have an…
MRecGen: Multimodal Appropriate Reaction Generator
Jiaqi Xu, Cheng Luo, Weicheng Xie +5
Verbal and non-verbal human reaction generation is a challenging task, as different reactions could be appropriate for responding to the same behaviour. This paper proposes the fir…
REACT2023: the first Multi-modal Multiple Appropriate Facial Reaction Generation Challenge
Siyang Song, Micol Spitale, Cheng Luo +8
The Multi-modal Multiple Appropriate Facial Reaction Generation Challenge (REACT2023) is the first competition event focused on evaluating multimedia processing and machine learnin…
Reversible Graph Neural Network-based Reaction Distribution Learning for Multiple Appropriate Facial Reactions Generation
Tong Xu, Micol Spitale, Hao Tang +3
Generating facial reactions in a human-human dyadic interaction is complex and highly dependent on the context since more than one facial reactions can be appropriate for the speak…
Affective Robotics For Wellbeing: A Scoping Review
Micol Spitale, Hatice Gunes
Affective robotics research aims to better understand human social and emotional signals to improve human-robot interaction (HRI), and has been widely used during the last decade i…
Affective Computing for Human-Robot Interaction Research: Four Critical Lessons for the Hitchhiker
Hatice Gunes, Nikhil Churamani
Social Robotics and Human-Robot Interaction (HRI) research relies on different Affective Computing (AC) solutions for sensing, perceiving and understanding human affective behaviou…
Multiple Appropriate Facial Reaction Generation in Dyadic Interaction Settings: What, Why and How?
Siyang Song, Micol Spitale, Yiming Luo +2
According to the Stimulus Organism Response (SOR) theory, all human behavioral reactions are stimulated by context, where people will process the received stimulus and produce an a…
Automatic Context-Driven Inference of Engagement in HMI: A Survey
Hanan Salam, Oya Celiktutan, Hatice Gunes +1
An integral part of seamless human-human communication is engagement, the process by which two or more participants establish, maintain, and end their perceived connection. Therefo…
Robots as Mental Well-being Coaches: Design and Ethical Recommendations
Minja Axelsson, Micol Spitale, Hatice Gunes
The last decade has shown a growing interest in robots as well-being coaches. However, insightful guidelines for the design of robots as coaches to promote mental well-being have n…
Continual Learning for Affective Robotics: A Proof of Concept for Wellbeing
Nikhil Churamani, Minja Axelsson, Atahan Caldir +1
Sustaining real-world human-robot interactions requires robots to be sensitive to human behavioural idiosyncrasies and adapt their perception and behaviour models to cater to these…
Federated Continual Learning for Socially Aware Robotics
Luke Guerdan, Hatice Gunes
From learning assistance to companionship, social robots promise to enhance many aspects of daily life. However, social robots have not seen widespread adoption, in part because (1…