220 research outputs found
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Representing Patterns of autonomous agent dynamics in multi-robot systems
It is proposed that vocabularies for representing complex systems with interacting agents have a natural lattice hierarchical structure. We investigate this for the example
of simulated robot soccer, using data taken from the RoboCup simulation competition. Lattice hierarchies provide symbolic representations for reasoning about systems at appropriate levels. We note the difference between relational constructs being human supplied versus systems that abstract their own constructs autonomously. The lattice hierarchical representation underlies both
The Role of Ethological Observation for Measuring Animal Reactions to Biotelemetry Devices
This paper presents a methodological approach used to assess the wearability of biotelemetry devices in animals. A detailed protocol to gather quantitative and qualitative ethological observations was adapted and tested in an experimental study of 13 cat participants wearing two different GPS devices. The aim was twofold: firstly, to ascertain the potential interference generated by the devices on the animal body and behavior by quantifying and characterizing it; secondly, to individuate device features potentially responsible for the influence registered, and establish design requirements. This research contributes towards the development of a framework for evaluating the design of wearer-centered biotelemetry interventions for animals, consistent with values advocated by Animal- Computer Interaction researchers
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Towards a Wearer-Centred Framework for Animal Biotelemetry
The emerging discipline of Animal-Computer Interaction (ACI) aims to understand the relation between animals and technology in naturalistic settings, to design technology that can support animals in different contexts and to develop user-centred research methods and frameworks that enable animals to take part in the design process as legitimate contributors [11]. Given existing interspecies differences and communication barriers, measuring the behaviour of animals involved in ACI research can be instrumental to achieving any or all of these aims, as a way of gauging the animals’ patterns, needs and preferences. Indeed, measuring behaviour is a common practice among ACI researchers, who take various approaches to this task [5,15,17,24]. In this respect, the use of biotelemetry devices such as VHF tags and GPS trackers, or bio-logging and environmental sensors has a significant potential [22].
At the same time, biotelemetry has been used for many years in many areas of biological research. Biotelemetry is used to improve the quality of physiological and behavioural data collected from animals and in an attempt to reduce researchers’ intrusion in the animals’ habitat [2]. However, there is evidence that carrying biotelemetry tags may influence the bearer’s physiology and behaviour [20]. Such impacts interfere with the validity of recorded data [14] and the welfare of individual animal wearers [1,3,13]. Neither of these effects are compatible with the animal-centred perspective advocated by ACI, on both scientific and ethical grounds. Our analysis of current body-attached device design and biotelemetry-enabled studies points to a general lack of wearer-centred perspective. To address these issues, we have developed a framework to inform the design of wearer-centred biotelemetry interventions, in order to support the implementation of animal-centred research methodologies and design solutions in ACI and other disciplines
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Robotics and the meaning of life: a practical guide to things that think
The new Open University course T184 Robotics and the meaning of life: a practical guide to things that think is an introductory course on robotics. It is an undergraduate course taught at a distance over 10 weeks. The course is centred around a web site containing most of the course material, supported by two books: Ruth Aylett Robots: Bringing intelligent machines to life? which is a general survey of the field and Isaac Asimov I, Robot which is used to motivate questions about the relationship between man and machine. On-line conferences provide study support.
There is also a strong practical element to the course. This was originally designed around the use of the Lego Mindstorms robotics kit. Besides mechanical components, the kit includes the Lego RCX brick – a programmable microcontroller with memory and interfaces to input and output devices such as touch and light sensors, motors and an IR channel to communicate with a PC. Students can build and program an autonomous wheeled robot to carry out a range of tasks of increasing difficulty.
A new programming environment was developed at the Open University specifically to support the needs of adult learners with no prior experience of programming. This provided an opportunity to extend the capabilities of the Mindstorms kit. For example, the robot can now ‘talk’ by sending IR messages back to the PC where they are turned into spoken phrases. This richer environment is highly motivating. The new software can also take on a processing role to escape the limitations of memory and processing power onboard the robot. For example, students develop a two-agent system in which the mobile robot collects data, transmits it back to the PC where it is analysed using a neural network (built and trained by the student) and results are transmitted back to the running robot.
Developing new software also provided an opportunity to produce a simulation of the robot and we can now offer students the choice of carrying out the practical activities with the Lego hardware or as a simulation. We will look at the attitudes and experiences of students who have chosen these different learning approaches
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A longitudinal rehabilitation case study for hemiparetic gait using outdoor rhythmic haptic cueing via a wearable device
Introduction
Improvement of gait is a high priority for hemiparetic stroke survivors. Auditory rhythmic cueing is a proven method for improving gait via entrainment but use is limited outside the lab. The lack of use in outdoor settings seems to reflect the problem that auditory cueing can be distracting and isolating out of doors, where survivors typically need to remain safe, aware of the environment. In such settings, haptic cueing offers an unobtrusive, invisible, sociable, safe alternative.
Research Question
Existing studies have demonstrated improvements in temporal symmetry, increase in stride length and walking speed by means of post-stroke gait rehabilitation using wearable haptic devices in the lab. However, previous studies have been limited to laboratory settings and have focused on short-term improvements. By contrast, we present the first case study on the self-managed use of wearable haptics for gait rehabilitation via entrainment in outdoor settings, and the first findings from applying this technique over a number of days.
Methods
A longitudinal pilot study was conducted with a single hemiparetic participant providing rhythmic haptic cueing using a wearable haptic device for a two-week period. The participant was asked to walk in synchrony to the haptic rhythm at a suitable outdoor setting for a minimum of 10 minutes each day. Gait data was measured before and after the two-week intervention using lab-based IMU sensors.
Results
On comparing before and after gait characteristics, preliminary results showed substantial improvement in temporal symmetry and walking speed.
Conclusions
There is implications for potential long-term benefits for stroke survivors in gait rehabilitation using rhythmic haptic cueing. Improvements in temporal symmetry, increase in stride length and walking speed could improve confidence, independence and overall quality of life for stroke survivors, with implications for reduction of costs associated with care and rehabilitation
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Wearable Haptic Devices for Long-Term Gait Re-education for Neurological Conditions
Many people with long-term neurological and neurodegenerative conditions such as stroke, brain injury, multiple sclerosis or Parkinson’s disease suffer from an impaired walking gait pattern. Gait improvement can lead to better fluidity in walking, improved health outcomes, greater independence, and enhanced quality of life. Existing lab-based studies with wearable haptic devices have shown that rhythmic haptic cueing can cause immediate improvements to gait features such as temporal symmetry, stride length and walking speed. However, such wearable haptic devices are unsuitable for self-managed use, and to move this approach from out of the lab into long-term sustained usage, numerous design challenges need to be addressed. We are designing, developing, and testing a closed-loop system to provide adaptive haptic rhythmic cues for sustainable self-managed long-term use outside the lab by survivors of stroke, and other neurological conditions, in their everyday lives
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Wearables for Long Term Gait Rehabilitation of Neurological Conditions
Many people with long-term neurological and neurodegenerative conditions such as stroke, brain injury, multiple sclerosis or Parkinson’s disease suffer from an impaired walking gait pattern. Gait improvement can lead to better fluidity in walking, improved health outcomes, greater independence, and enhanced quality of life. Existing lab-based studies with wearable devices have shown that rhythmic haptic cueing can cause immediate improvements to gait features such as temporal symmetry, stride length and walking speed. However, current wearable systems are unsuitable for self-managed use, and to move this approach from out of the lab into long-term sustained usage, numerous design challenges need to be addressed. We are designing, developing, and testing a closed-loop system to provide adaptive haptic rhythmic cues for sustainable self-managed long-term use outside the lab by survivors of stroke, and other neurological conditions, in their everyday lives
Teaching programming through paperless assignments: an empirical evaluation of instructor feedback
This paper considers how facilities afforded by electronic assignment handling can contribute to the quality of Internet-based teaching of programming. It reports a study comparing the nature, form, and quality of feedback provided by instructors on 90 paper and electronic assignments in an introductory CS course and notes effective strategies for electronic marking
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Participatory Data Analysis: A New Method for Investigating Human Energy Practices
This paper presents a novel data-driven method to investigate the interdependence between technology design and human energy practices. The method – called Participatory Data – makes use of fine-grained energy data collected via smart meters and smart plugs, and behaviour visualisation during home visits to spark self-reflection among householders
Understanding the social practice of EV workplace charging
Owning or leasing an electric vehicle (EV) is becoming more common in developed countries. While home charging is the most common choice, workplace charging and its provision by employers has become an important option. For many, it is essential to cope with the limited range of most EVs. Home and work are the two places where vehicles are parked for long periods and so are prime candidates as charging locations. However, workplace charging is often a limited resource. This paper reports on an empirical study of workplace charging at a UK public sector employer. It explores the use of workplace charging (WPC) via spatiotemporal analysis of employees and visitors' charging events over a 3-month period. It provides insights into weekly patterns and daily mechanisms of using shared facilities in a WPC environment. We identify insights that are relevant in the design of workplace-charging infrastructure, identify the design needs, emerging requirements, and highlight potential areas for sociotechnical-interventions
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