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All Outputs (69)

Enhancing self-directed upper-limb (UL) exercise practice using GripAble gaming device and Lycra arm sleeve in people with stroke (PwS): An evaluative study (2023)
Presentation / Conference Contribution

Background: The national clinical guidelines recommend repetitive task training to enhance UL rehabilitation in PwS. GripAble™ (a self-directed exergaming device) has shown to increase repetitive practice in PwS. Previous studies have shown that a Ly... Read More about Enhancing self-directed upper-limb (UL) exercise practice using GripAble gaming device and Lycra arm sleeve in people with stroke (PwS): An evaluative study.

Empowering future care workforces: scoping human capabilities to leverage assistive robotics (2023)
Presentation / Conference Contribution

How and what health and care professionals do will be changed by the use of robotics technologies in their workplaces. This paper reports provisional results of a 12-month scoping project in which we explained to people working in care sectors what e... Read More about Empowering future care workforces: scoping human capabilities to leverage assistive robotics.

Learning from carers to inform the design of safe physically assistive robots - Insights from a focus group study (2022)
Presentation / Conference Contribution

This research investigates how professional carers physically assist frail older adults. Carers were asked to discuss their approach and steps for providing safe physical assistance and highlight hazards that assistive robots would have to deal with... Read More about Learning from carers to inform the design of safe physically assistive robots - Insights from a focus group study.

Accelerometers - Embedded lycra sleeves to test wear compliance and upper limb activity in people with stroke: a feasibility study - UK Stroke Forum 2021 (2021)
Presentation / Conference Contribution

Background: To establish a possible effect of Lycra sleeves, accurate recording of wear time is critical. The aim of this study was to test whether an accelerometer-embedded Lycra sleeve can measure wear compliance and record upper limb (UL) movement... Read More about Accelerometers - Embedded lycra sleeves to test wear compliance and upper limb activity in people with stroke: a feasibility study - UK Stroke Forum 2021.

Lycra sleeves with embedded-Accelerometers to test wear compliance and upper limb activity in people with stroke: A feasibility study  (2021)
Presentation / Conference Contribution

Background: To establish a possible effect of Lycra sleeves, accurate recording of wear time is critical.
Aim: To test whether an accelerometer-embedded Lycra sleeve can measure wear compliance and record upper-limb (UL) movements/activity in people... Read More about Lycra sleeves with embedded-Accelerometers to test wear compliance and upper limb activity in people with stroke: A feasibility study .

Assessing the Role of Gaze Tracking in Optimizing Humans-In-The-Loop Telerobotic Operation Using Multimodal Feedback (2021)
Journal Article

A key challenge in achieving effective robot teleoperation is minimizing teleoperators’ cognitive workload and fatigue. We set out to investigate the extent to which gaze tracking data can reveal how teleoperators interact with a system. In this stud... Read More about Assessing the Role of Gaze Tracking in Optimizing Humans-In-The-Loop Telerobotic Operation Using Multimodal Feedback.

The case for an intervention scale to design the balance of authority for robotic assistance (2021)
Presentation / Conference Contribution

According to United Nations, by 2050 over 20% of the population will be over 65 years old. Ensuring that our ageing population stays independent and healthy for as long as possible requires higher numbers of health and social care professionals than... Read More about The case for an intervention scale to design the balance of authority for robotic assistance.

Standards and regulations for physically assistive robots**Research supported by Lloyds Register Foundation, under the Assuring Antonomy International Programme (2021)
Presentation / Conference Contribution

In this paper we consider the regulations that currently exist in relation to supporting people in the home and in different care settings. Using existing standards and guidelines that relate to assistive technology and care in the UK, we consider wh... Read More about Standards and regulations for physically assistive robots**Research supported by Lloyds Register Foundation, under the Assuring Antonomy International Programme.

Assessing and addressing ethical risk from anthropomorphism and deception in socially assistive robots (2021)
Presentation / Conference Contribution

In this paper we apply the recent concept of robot Ethical Risk Assessment to an exemplar Socially Assistive Robot (SAR); specifically considering ethical risks posed by anthropomorphism in this context. We draw on two complimentary studies to demons... Read More about Assessing and addressing ethical risk from anthropomorphism and deception in socially assistive robots.

Towards an ontological framework for environmental survey hazard analysis of autonomous systems (2021)
Presentation / Conference Contribution

This paper presents current progress in the development of Environmental Survey Hazard Analysis (ESHA), a method of preliminary hazard identification aimed at autonomous system application problems. In addition to performing their design mission, aut... Read More about Towards an ontological framework for environmental survey hazard analysis of autonomous systems.

Effects of an unexpected and expected event on older adults’ autonomic arousal and eye fixations during autonomous driving (2020)
Journal Article

© Copyright © 2020 Stephenson, Eimontaite, Caleb-Solly, Morgan, Khatun, Davis and Alford. Driving cessation for some older adults can exacerbate physical, cognitive, and mental health challenges due to loss of independence and social isolation. Fully... Read More about Effects of an unexpected and expected event on older adults’ autonomic arousal and eye fixations during autonomous driving.

The utility of psychological measures in evaluating perceived usability of automated vehicle interfaces – A study with older adults (2020)
Journal Article

© 2020 Elsevier Ltd The design of the traditional vehicle human-machine interfaces (HMIs) is undergoing major change as we move towards fully connected and automated vehicles (CAVs). Given the diversity of user requirements and preferences, it is vit... Read More about The utility of psychological measures in evaluating perceived usability of automated vehicle interfaces – A study with older adults.

Towards establishing a 'cooperation' measure for coupled movement in close-proximity human-robot interaction (2020)
Presentation / Conference Contribution

To achieve safe close-proximity human-robot interaction , particularly for physically assitive tasks, robot motion planning needs to recognize and adapt to the behaviour of humans in the long-term. Generally, motion prediction with probabilistic conf... Read More about Towards establishing a 'cooperation' measure for coupled movement in close-proximity human-robot interaction.

Investigating the effectiveness of different interaction modalities for spatial human-robot interaction (2020)
Presentation / Conference Contribution

With the increasing use of social robots in real environments, one of the areas of research requiring more attention is the study of human-robot interaction (HRI) when a person and robot are moving close to each other. Understanding effective ways to... Read More about Investigating the effectiveness of different interaction modalities for spatial human-robot interaction.

Tracking changes in user activity from unlabelled smart home sensor data using unsupervised learning methods (2020)
Journal Article

© 2020, The Author(s). This paper investigates the utility of unsupervised machine learning and data visualisation for tracking changes in user activity over time. This is done through analysing unlabelled data generated from passive and ambient smar... Read More about Tracking changes in user activity from unlabelled smart home sensor data using unsupervised learning methods.