A5055044055- Human-Automation Interaction and Safety
- Social Robot Interaction and HRI
- Healthcare Technology and Patient Monitoring
- Deception detection and forensic psychology
- Psychopathy, Forensic Psychiatry, Sexual Offending
- Occupational Health and Safety Research
- Reinforcement Learning in Robotics
- AI in Service Interactions
- ICT Impact and Policies
- Online Learning and Analytics
- Ethics and Social Impacts of AI
- Blockchain Technology Applications and Security
- Technology Adoption and User Behaviour
- EEG and Brain-Computer Interfaces
- IoT and Edge/Fog Computing
- Adversarial Robustness in Machine Learning
- Neural and Behavioral Psychology Studies
Swansea University
2022-2025
Al Baha University
2022-2024
Umm al-Qura University
2024
Oakland University
2020
Trust is one of the necessary factors for building a successful human-robot interaction (HRI). This paper investigated how human trust in robots differs across HRI scenarios two cultures. We conducted studies countries: Saudi Arabia (study 1) and United Kingdom 2). Each study presented three scenarios: dog robot guiding people with sight impairments, teleoperated healthcare, manufacturing robot. Study 1 shows that participants' perception score (TPS) was significantly different scenarios....
The academic community is currently confronting some challenges in terms of analyzing and evaluating the progress a student’s performance. In real world, classifying performance students scientifically challenging task. Recently, studies apply cluster analysis for students’ results utilize statistical techniques to part their score regard This approach, however, not efficient. this study, we combine two techniques, namely, k-mean elbow clustering algorithm evaluate Based on combination, will...
Existing work on the measurements of trust during Human-Robot Interaction (HRI) indicates that psychophysiological behaviours (PBs) have potential to measure trust. However, we see limited use multiple PBs in combination calibrate human’s robots real-time HRI. Therefore, this study aims estimate human by examining differences between and distrust states. It further investigates changes across repeated HRI also explores machine learning classifiers predicting levels We collected participants’...
Modelling humans' trust in robots is critical during human-robot interaction (HRI) to avoid under- or over-reliance on robots. Currently, it challenging calibrate real-time. Consequently, we see limited work calibrating HRI. In this paper describe a mathematical model that attempts emulate the three-layered (initial, situational, learned) framework of capable potentially estimating We evaluated an experimental setup involved participants playing game four occasions. validate based linear...
Trust is an essential aspect of human-robot interaction (HRI) and plays important role in decision-making. Currently, measuring trust real-time challenging, especially repeated interaction. Consequently, we see limited work on calibrating humans' robots HRI. In this work, describe a mathematical model that attempts to emulate the three-layered (initial, situational, learned) framework capable potentially estimating real-time. We evaluated two different HRI user studies. The results showed...
This investigation delves into user perceptions of iOS and Android operating systems within the Kingdom Saudi Arabia. A sample 594 participants was recruited to explore their preferences concerning usability, reliability, security, social influence, prior experiences with both systems. The study reveals a modest predilection for in terms user-friendliness perceived information security. Interestingly, counterintuitive finding emerged: users, particularly females, exhibited high confidence...