- Human-Automation Interaction and Safety
- Autonomous Vehicle Technology and Safety
- Traffic and Road Safety
- Transportation and Mobility Innovations
- Occupational Health and Safety Research
- Safety Warnings and Signage
- Innovation in Digital Healthcare Systems
- Ergonomics and Human Factors
- Vehicle Dynamics and Control Systems
- Social and Intergroup Psychology
- Neuroscience and Music Perception
- Opinion Dynamics and Social Influence
- Internet of Things and Social Network Interactions
- Virtual Reality Applications and Impacts
- Speech and Audio Processing
- Face Recognition and Perception
- Urban Transport and Accessibility
- Evolutionary Psychology and Human Behavior
- Animal Vocal Communication and Behavior
- Marine and Coastal Research
- Electric Vehicles and Infrastructure
- Safety Systems Engineering in Autonomy
- Speech Recognition and Synthesis
- Human Resource Development and Performance Evaluation
- Music and Audio Processing
University of Southampton
2020-2024
University of Nottingham
2023
Royal Holloway University of London
2018-2019
The human voice is a highly flexible instrument for self-expression, yet identity perception largely studied using controlled speech recordings. Using two voice-sorting tasks with naturally varying stimuli, we compared the performance of listeners who were familiar and unfamiliar TV show Breaking Bad. Listeners organised audio clips (1) low-expressiveness (2) high-expressiveness into perceived identities. We predicted that increased expressiveness (e.g., shouting, strained voice) would...
Abstract Electric micromobility (e‐micromobility) offers the potential to enhance sustainability of first‐ and last‐mile journeys in urban areas by reducing number private vehicle trips. As a new mode transport, it is imperative that not subject same male bias has been evidenced across our existing transport networks. An in‐depth qualitative study was conducted with 24 UK participants (12 females) assess gender factors relate incentives barriers e‐micromobility (electric bike electric...
The road transport system is a complex sociotechnical that relies on number of formal and informal rules the to ensure safety resilience. Interactions between vulnerable users drivers often includes communication channels are tightly linked social norms, user expectations environmental context. Automated vehicles have challenge in being able communicate respond these road, therefore additional technologies required better support users. This paper presents cyclists employ within cyclist...
Considerable resources are invested each year into training to ensure trainees have the required competencies safely and effectively perform their tasks/jobs. As such, it is important develop effective programmes which target those competencies. One method that can be used at start of lifecycle establish tasks for a task/job considered an activity when developing programme Training Needs Analysis (TNA). This article presents new TNA approach uses Automated Vehicle (AV) case study demonstrate...
Automated Vehicle (AV) systems are expected to reduce the frequency and severity of on-road collisions. Unless drivers have an appropriate mental model for capabilities limitations automation, they may not activate automation safely or appropriately on road, potentially leading a collision. As such, training package (L4DTP) was developed improve drivers' decisions behaviour when activating AV system this evaluated in between-subjects simulator experiment. Drivers received no (NT, control...
One of the arguments in favour for introduction Automated Vehicles (AVs) is that they will improve road safety by reducing frequency and severity on-road collisions. However, if drivers have a poor mental model capabilities limitations automation, may over-trust activate automation inappropriate conditions leading to collision. To address this, an online video-based training programme was developed drivers' models when AV can be activated, this compared current driver method (i.e. owner's...
We investigated the effects of two types task instructions on performance a voice sorting by listeners who were either familiar or unfamiliar with voices. Listeners asked to sort 15 naturally varying stimuli from identities into perceived identities. Half sorted recordings freely as many they perceived; other half forced only. As reported in previous studies, formed more clusters than listeners. therefore different same identity coming identities, while being highly accurate at telling apart...
Abstract Studies comparing results captured in a simulator with those on road are important to validate the approach but scarce context of secondary task distraction due potential ramifications diverting attention away from safe driving. The authors compare distraction‐related data two studies exploring human–machine interfaces (HMI) design: one conducted static, medium‐fidelity driving vehicle enclosure and immersive visual environment, road. In both, 19 drivers undertook an identical...
The human voice is a highly flexible instrument for self-expression, yet identity perception largely studied using controlled speech recordings. Using two "voice sorting" tasks with naturally-varying stimuli, we compared the performance of listeners who were familiar and unfamiliar TV show Breaking Bad: organized audio clips 1) low 2) high expressiveness into perceived identities. We predicted that increased (e.g. shouting, whispering) would significantly impair performance. Overall, while...
Developing resilient autonomous systems requires an interdisciplinary approach that can understand performance variability and respond to critical events when they occur. Resilience within must also account for social norms as well broader ethical legal considerations. Within this paper we outline the importance of embedding Social, Legal, Ethical, Empathetic Cultural (SLEEC) constraints development future systems. A novel methodological is presented combines Human Factors methods with...
In the current study we investigated effects of two types task instructions on performance a voice sorting by familiar and unfamiliar listeners. Experiment 1, listeners were asked to sort 15 naturally-varying exemplars from identities into as many they perceived. Results replicate findings previous face studies: form more clusters than listeners, selectively failing “tell people together”. That is, erroneously perceive same identity coming different identities, while being highly accurate at...