7 papers
Empirical Study of Gaze Behavior in Children and Young Adults Using Deep Neural Networks and Robot Implementation: A Comparative Analysis of Social Situations
Ramtin Tabatabaei, Milad Hosseini, Ali Mohajerzarrinkelk +2
In a preliminary exploratory study, our goal was to train deep neural network models to mimic children's and/or adults' gaze behavior in certain social situations to reach this obj…
Human-Like Gaze Behavior in Social Robots: A Deep Learning Approach Integrating Human and Non-Human Stimuli
Faezeh Vahedi, Morteza Memari, Ramtin Tabatabaei +1
Nonverbal behaviors, particularly gaze direction, play a crucial role in enhancing effective communication in social interactions. As social robots increasingly participate in thes…
Developing Neural Network-Based Gaze Control Systems for Social Robots
Ramtin Tabatabaei, Alireza Taheri
During multi-party interactions, gaze direction is a key indicator of interest and intent, making it essential for social robots to direct their attention appropriately. Understand…
Real-Time Detection of Robot Failures Using Gaze Dynamics in Collaborative Tasks
Ramtin Tabatabaei, Vassilis Kostakos, Wafa Johal
Detecting robot failures during collaborative tasks is crucial for maintaining trust in human-robot interactions. This study investigates user gaze behaviour as an indicator of rob…
Gazing at Failure: Investigating Human Gaze in Response to Robot Failure in Collaborative Tasks
Ramtin Tabatabaei, Vassilis Kostakos, Wafa Johal
Robots are prone to making errors, which can negatively impact their credibility as teammates during collaborative tasks with human users. Detecting and recovering from these failu…
ROSAnnotator: A Web Application for ROSBag Data Analysis in Human-Robot Interaction
Yan Zhang, Haoqi Li, Ramtin Tabatabaei +1
Human-robot interaction (HRI) is an interdisciplinary field that utilises both quantitative and qualitative methods. While ROSBags, a file format within the Robot Operating System…