2,191 research outputs found

    The Effectiveness of Movement Education in Supporting Children with Developmental Disorders

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    The purpose of this study is to clarify the effectiveness of “Kobayashi-Frostig\u27s Movement Education” in supporting children with developmental disorders in Japan. First, literature on prior research was reviewed for an analysis of research trend to confirm that movement education is highly applicable to supporting children with developmental disorders. Furthermore, current problems in supporting children with developmental disorders were compared with principles of Movement Education from the following 5 perspectives, physical, developmental, environmental, relational, and playfulness. The result suggests that Movement Education can offer effective theory and method for supporting children with developmental disorders

    On the design, development and experimentation of the ASTRO assistive robot integrated in smart environments

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    This paper presents the full experience of designing, developing and testing ASTROMOBILE, a system composed of an enhanced robotic platform integrated in an Ambient Intelligent (AmI) infrastructure that was conceived to provide favourable independent living, improved quality of life and efficiency of care for senior citizens. The design and implementation of ASTRO robot was sustained by a multidisciplinary team in which technology developers, designers and end-user representatives collaborated using a user-centred design approach. The key point of this work is to demonstrate the general feasibility and scientific/technical effectiveness of a mobile robotic platform integrated in a smart environment and conceived to provide useful services to humans and in particular to elderly people in domestic environments. The main aspects faced in this paper are related to the design of the ASTRO’s appearance and functionalities by means of a substantial analysis of users’ requirements, the improvement of the ASTRO’s behaviour by means of a smart sensor network able to share information with the robot (Ubiquitous Robotics) and the development of advanced human robot interfaces based on natural language

    Conceptual Design of COD-E Humanoid Robots

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    The conceptualizing process plays an important role in assisting designers’ creativity in form and styling development. It contributes to representing the cultural elements before product transformation, which has a limited investigation. This research aims to identify the metaphorical form element that conveys the brain impaired as factors of selection and defining form development of the humanoid robot embodiment. Design Protocol Analysis obtains to into design linguistic interpretations and synthesizing design based on perceptual product experience. Findings have outlined the theory of metaphorical form element selection and identification that could represent brain impaired product in assisting humanoid robotic acceptance among autism. Keywords: Design-Inspire; Humanoid Robot; Children with Autism; Design Protocol Analysis. eISSN: 2398-4287© 2020. The Authors. Published for AMER ABRA cE-Bsby e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v5iSI3.253

    Quantifying kinematics of purposeful movements to real, imagined, or absent functional objects: Implications for modelling trajectories for robot-assisted ADL tasks**

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    BACKGROUND: Robotic therapy is at the forefront of stroke rehabilitation. The Activities of Daily Living Exercise Robot (ADLER) was developed to improve carryover of gains after training by combining the benefits of Activities of Daily Living (ADL) training (motivation and functional task practice with real objects), with the benefits of robot mediated therapy (repeatability and reliability). In combining these two therapy techniques, we seek to develop a new model for trajectory generation that will support functional movements to real objects during robot training. We studied natural movements to real objects and report on how initial reaching movements are affected by real objects and how these movements deviate from the straight line paths predicted by the minimum jerk model, typically used to generate trajectories in robot training environments. We highlight key issues that to be considered in modelling natural trajectories. METHODS: Movement data was collected as eight normal subjects completed ADLs such as drinking and eating. Three conditions were considered: object absent, imagined, and present. This data was compared to predicted trajectories generated from implementing the minimum jerk model. The deviations in both the plane of the table (XY) and the saggital plane of torso (XZ) were examined for both reaches to a cup and to a spoon. Velocity profiles and curvature were also quantified for all trajectories. RESULTS: We hypothesized that movements performed with functional task constraints and objects would deviate from the minimum jerk trajectory model more than those performed under imaginary or object absent conditions. Trajectory deviations from the predicted minimum jerk model for these reaches were shown to depend on three variables: object presence, object orientation, and plane of movement. When subjects completed the cup reach their movements were more curved than for the spoon reach. The object present condition for the cup reach showed more curvature than in the object imagined and absent conditions. Curvature in the XZ plane of movement was greater than curvature in the XY plane for all movements. CONCLUSION: The implemented minimum jerk trajectory model was not adequate for generating functional trajectories for these ADLs. The deviations caused by object affordance and functional task constraints must be accounted for in order to allow subjects to perform functional task training in robotic therapy environments. The major differences that we have highlighted include trajectory dependence on: object presence, object orientation, and the plane of movement. With the ability to practice ADLs on the ADLER environment we hope to provide patients with a therapy paradigm that will produce optimal results and recovery

    Children’s Rough-and-Tumble Play in a Supportive Early Childhood Education and Care Environment

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    While a growing body of evidence highlights the benefits of rough-and-tumble play (R&T) in young children, it remains one of the most challenging kinds of play to support in early childhood education and care environment (ECEC) institutions. The present study explores the occurrence and characteristics of R&T in indoor and outdoor environments in a Norwegian sociocultural context where children can freely choose what, where, and with whom to play. The data consist of 100 randomly recorded two-minute videos, which were coded second by second for R&T. Qualitative analysis reveals that in a physically and culturally supportive environment for R&T, children aged 3–5 years perceive indoor spaces that afford physically active play to be more attractive for R&T than outdoor environments. The findings indicate gender differences related to R&T and how girls and boys use the physical environment in different ways. The quantitative findings are discussed within interactional affordances theory and show that children practise perceptual, motor, and social skills to successfully engage in R&T. Enhanced knowledge of children’s skill acquisition in R&T can support practitioners in developing pedagogical skills to facilitate challenging and safe environments for appropriate indoor R&T for both girls and boys.publishedVersio

    An investigation of management accounting control systems in the palm oil industry:a sociomaterial approach to practice change

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    The primary aim of this research is to understand what constitutes management accounting and control (MACs) practice and how these control processes are implicated in the day to day work practices and operations of the organisation. It also examines the changes that happen in MACs practices over time as multiple actors within organisational settings interact with each other. I adopt a distinctive practice theory approach (i.e. sociomateriality) and the concept of imbrication in this research to show that MACs practices emerge from the entanglement between human/social agency and material/technological agency within an organisation. Changes in the pattern of MACs practices happens in imbrication processes which are produced as the two agencies entangle. The theoretical approach employed in this research offers an interesting and valuable lens which seeks to reveal the depth of these interactions and uncover the way in which the social and material imbricate. The theoretical framework helps to reveal how these constructions impact on and produce modifications of MACs practices. The exploration of the control practices at different hierarchical levels (i.e. from the operational to middle management and senior level management) using the concept of imbrication process also maps the dynamic flow of controls from operational to top management and vice versa in the organisation. The empirical data which is the focus of this research has been gathered from a case study of an organisation involved in a large vertically integrated palm oil industry company in Malaysia specifically the refinery sector. The palm oil industry is a significant industry in Malaysia as it contributed an average of 4.5% of Malaysian Gross Domestic Product, over the period 1990 -2010. The Malaysian palm oil industry also has a significant presence in global food oil supply where it contributed 26% of the total oils and fats global trade in 2010. The case organisation is a significant contributor to the Malaysian palm oil industry. The research access has provided an interesting opportunity to explore the interactions between different groups of people and material/technology in a relatively heavy process food industry setting. My research examines how these interactions shape and are shaped by control practices in a dynamic cycle of imbrications over both short and medium time periods

    Designing Life: A Socio-cultural Analysis of IKEA Kitchen Planner and UX

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    The design process of a kitchen, like design tasks in other areas, requires specific domain knowledge and skills. However, kitchen design has its unique requirements and constraints due to the limited flexibility in appliance selection and work layout. While planning and designing a kitchen, users face complicated situations where they need to consider many technical factors such as the structure and floor plan of the house, lighting and heating system, interfering traffic in the kitchen, geographic locations of the house, temperature and humidity, and clean technology to name a few. The kitchen is also highly sensitive to local culture. For example, the demand for utensils, furniture, and appliances closely depends on cooking styles that vary drastically across the globe

    NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities

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    We present Neural Signal Operated Intelligent Robots (NOIR), a general-purpose, intelligent brain-robot interface system that enables humans to command robots to perform everyday activities through brain signals. Through this interface, humans communicate their intended objects of interest and actions to the robots using electroencephalography (EEG). Our novel system demonstrates success in an expansive array of 20 challenging, everyday household activities, including cooking, cleaning, personal care, and entertainment. The effectiveness of the system is improved by its synergistic integration of robot learning algorithms, allowing for NOIR to adapt to individual users and predict their intentions. Our work enhances the way humans interact with robots, replacing traditional channels of interaction with direct, neural communication. Project website: https://noir-corl.github.io/
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