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Playfulness and new technologies in hand therapy for children with cerebral palsy: A Scoping Review

Background: Innovative technologies such as game consoles and smart toys used with games or playful approaches have proven to be successful and attractive in providing effective and motivating hand therapy for children with cerebral palsy (CP). Thus, there is an increased interest in designing and implementing interventions that can improve the well-being of these children. However, to understand how and why these interventions are motivating children, we need a better understanding of the playful elements of technology-supported hand therapy.Objective: This scoping review aims to identify the playful elements and the innovative technologies currently used in hand therapy for children with CP.Methods: We included studies that design or evaluate interventions for children with CP that use innovative technologies with game or play strategies. Data were extracted and analyzed based on the type of technology, description of the system, and playful elements according to the Lenses of Play, a play design toolkit. A total of 31 studies were included in the analysis.Results: Overall, 54 papers were included in the analysis. The results showed high use of consumer technologies in hand therapy for children with CP. Although several studies have used a combination of consumer technologies with therapeutic-specific technologies, only a few studies focused on the exclusive use of therapeutic-specific technologies. To analyze the playfulness of these interventions that make use of innovative technologies, we focused our review on 3 lenses of play: Open-ended Play, where it was found that the characteristics of ludus, such as a structured form of play and defined goals and rules, were the most common, whereas strategies that relate to paidia were less common. The most commonly used Forms of Play were physical or active form and games with rules. Finally, the most popular Playful experiences were control, challenge, and competition.Conclusions: The inventory and analysis of innovative technology and playful elements provided in this study can be a starting point for new developments of fun and engaging tools to assist hand therapy for children with CP.

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Playfulness and new technologies in hand therapy for children with cerebral palsy: A Scoping Review

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Towards Energy Citizenship for a Just and Inclusive Transition: Lessons Learned on Collaborative Approach of Positive Energy Districts from the EU Horizon2020 Smart Cities and Communities Projects

To achieve the “well below 2 degrees” targets, a new ecosystem needs to be defined where citizens become more active, co-managing with relevant stakeholders, the government, and third parties. This means moving from the traditional concept of citizens-as-consumers towards energy citizenship. Positive Energy Districts (PEDs) will be the test-bed area where this transformation will take place through social, technological, and governance innovation. This paper focuses on benefits and barriers towards energy citizenships and gathers a diverse set of experiences for the definition of PEDs and Local Energy Markets from the Horizon2020 Smart Cities and Communities projects: Making City, Pocityf, and Atelier.

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Towards Energy Citizenship for a Just and Inclusive Transition: Lessons Learned on Collaborative Approach of Positive Energy Districts from the EU Horizon2020 Smart Cities and Communities Projects

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Crafting Conflict: Designing Meaningful Interactions in a Smooth Society Or: Beyond Seamless: Creating Impact Through Designed Friction

Our current smart society, where problems and frictions are smoothed out with smart, often invisible technology like AI and smart sensors, calls for designers who unravel and open the smart fabric. Societies are not malleable, and moreover, a smooth society without rough edges is neither desirable nor livable. In this paper we argue for designing friction to enhance a more nuanced debate of smart cities in which conflicting values are better expressed. Based on our experiences with the Moral Design Game, an adversarial design activity, we came to understand the value of creating tangible vessels to highlight conflict and dipartite feelings surrounding smart cities.

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Tools or toys for healthcare

Smart glasses have the potential to transform healthcare, but their acceptance and use are under pressure due to concerns about social interaction around smart glasses, such as privacy, intended use, and the social isolation of the user. However, the value is seen in healthcare, where they could potentially help manage demographic changes and growing staff shortages. This dissertation poses questions about the acceptance and appropriation of smart glasses in healthcare, including social and ethical implications. Under the premise that humans and technology mutually influence each other, a theoretical framework has been constructed to investigate the complexity of both acceptance and social interaction around smart glasses. In this dissertation, theoretical perspectives from technology acceptance and social cognitive theory are combined with the mediation perspective from philosophy of technology to better understand the appropriation of smart glasses. Through multiple studies, including analyses of YouTube comments, focus groups, a developed and validated questionnaire, and interviews with healthcare professionals, a detailed portrayal of the potential and challenges associated with the appropriation of smart glasses is provided. The results show that although there may initially be concerns and resistance, the perception of smart glasses can change positively after prolonged use. This dissertation emphasizes the importance of studying the appropriation of technology at different stages of diffusion and from different perspectives, to get a richer and more comprehensive picture of how innovations like smart glasses can best be integrated into healthcare.

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Assessing Children's Fine Motor Skills With Sensor-Augmented Toys: Machine Learning Approach

BACKGROUND: Approximately 5%-10% of elementary school children show delayed development of fine motor skills. To address these problems, detection is required. Current assessment tools are time-consuming, require a trained supervisor, and are not motivating for children. Sensor-augmented toys and machine learning have been presented as possible solutions to address this problem.OBJECTIVE: This study examines whether sensor-augmented toys can be used to assess children's fine motor skills. The objectives were to (1) predict the outcome of the fine motor skill part of the Movement Assessment Battery for Children Second Edition (fine MABC-2) and (2) study the influence of the classification model, game, type of data, and level of difficulty of the game on the prediction.METHODS: Children in elementary school (n=95, age 7.8 [SD 0.7] years) performed the fine MABC-2 and played 2 games with a sensor-augmented toy called "Futuro Cube." The game "roadrunner" focused on speed while the game "maze" focused on precision. Each game had several levels of difficulty. While playing, both sensor and game data were collected. Four supervised machine learning classifiers were trained with these data to predict the fine MABC-2 outcome: k-nearest neighbor (KNN), logistic regression (LR), decision tree (DT), and support vector machine (SVM). First, we compared the performances of the games and classifiers. Subsequently, we compared the levels of difficulty and types of data for the classifier and game that performed best on accuracy and F1 score. For all statistical tests, we used α=.05.RESULTS: The highest achieved mean accuracy (0.76) was achieved with the DT classifier that was trained on both sensor and game data obtained from playing the easiest and the hardest level of the roadrunner game. Significant differences in performance were found in the accuracy scores between data obtained from the roadrunner and maze games (DT, P=.03; KNN, P=.01; LR, P=.02; SVM, P=.04). No significant differences in performance were found in the accuracy scores between the best performing classifier and the other 3 classifiers for both the roadrunner game (DT vs KNN, P=.42; DT vs LR, P=.35; DT vs SVM, P=.08) and the maze game (DT vs KNN, P=.15; DT vs LR, P=.62; DT vs SVM, P=.26). The accuracy of only the best performing level of difficulty (combination of the easiest and hardest level) achieved with the DT classifier trained with sensor and game data obtained from the roadrunner game was significantly better than the combination of the easiest and middle level (P=.046).CONCLUSIONS: The results of our study show that sensor-augmented toys can efficiently predict the fine MABC-2 scores for children in elementary school. Selecting the game type (focusing on speed or precision) and data type (sensor or game data) is more important for determining the performance than selecting the machine learning classifier or level of difficulty.

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Assessing Children's Fine Motor Skills With Sensor-Augmented Toys: Machine Learning Approach

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Organising smart city projects

We studied 12 smart city projects in Amsterdam, and –among other things- analysed their upscaling potential and dynamics. Here are some of our findings:First, upscaling comes in various forms: rollout, expansion and replication. In roll-out, a technology or solution that was successfully tested and developed in the pilot project is commercialised/brought to the market (market roll-out), widely applied in an organisation (organisational roll-out), or rolled out across the city (city roll-out). Possibilities for rollout largely emerge from living-lab projects (such as Climate street and WeGo), where companies can test beta versions of new products/solutions. Expansion is the second type of upscaling. Here, the smart city pilot project is expanded by a) adding partners, b) extending the geographical area covered by the solution, or c) adding functionality. This type of upscaling applies to platform projects, for example smart cards for tourists, where the value of the solution grows with the number of participating organisations. Replication is the third and most problematic type of upscaling. Here, the solution that was developed in the pilot project is replicated elsewhere (another organisation, another part of the city, or another city). Replication can be done by the original pilot partnership but also by others, and the replication can be exact or by proxy. We found that the replication potential of projects is often limited because the project’s success is highly context-sensitive. Replication can also be complex because new contexts might often require the establishment of new partnerships. Possibilities for replication exist, though, at the level of working methods, specific technologies or tools, but variations among contexts should be taken into consideration. Second, upscaling should be considered from the start of the pilot project and not solely at the end. Ask the following questions: What kind of upscaling is envisioned? What parts of the project will have potential for upscaling, and what partners do we need to scale up the project as desired? Third, the scale-up stage is quite different from the pilot stage: it requires different people, competencies, organisational setups and funding mechanisms. Thus, pilot project must be well connected to the parent organisations, else it becomes a “sandbox” that will stay a sandbox. Finally, “scaling” is not a holy grail. There is nothing wrong when pilot projects fail, as long as the lessons are lessons learned for new projects, and shared with others. Cities should do more to facilitate learning between their smart city projects, to learn and innovate faster.

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Smart Toys Design Opportunities for Measuring Children's Fine Motor Skills Development

Smart tangible toys, designed for hand manipulation, can transform fine motor skills assessment into enjoyable activities which are engaging for children to play (partially) unsupervised. Such toys can support school teachers and parents for early detection of deficiencies in motor skills development of children, as well as objectively monitor the progress of skills development over time. To make a game enjoyable for children with different skills level, these smart toys could offer an adaptive game play. In this paper we describe the design and deployment of a digital board game, equipped with sensors, which we use to explore the potential of using smart toys for fine motor skills assessment in children.

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Scaffolding shared learning about sustainable futures between design engineering students, users, and a smart grid project team

Like the professionals, design students tend to avoid the complexity of the user context, and moral issues are largely overlooked. This inspired us to explore whether we could engage design students in thinking about moral issues by exploring different ethical frameworks in their designing. As a case environment we chose smart-grid product service combinations. In this paper we first discuss the ethical frameworks of four selected philosophers’: Plato, Rousseau, Kant, & Mill. Then we will describe the student design process, the resulting four smart grid service concepts and the user insights that came from a user evaluation. We discuss how this approach allowed the students to get insights in their own ethical stance and how they allowed users to reflect on possible futures. We also discuss how these ‘probing’ concepts were used within the larger smart grid project.

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Scaffolding shared learning about sustainable futures between design engineering students, users, and a smart grid project team

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Magic Monster, a smart toy for therapy

Continuing physical therapy at home can be stressful, challenging and unmotivating, especially for children. Researchers and students from the Amsterdam University of Applied Sciences, Utrecht University, Eindhoven University of Technology, University of Twente and partners (Ijsfontein external link, Roessingh Rehabilitation Centre external link, Phillips Research external link) are researching how to design smart toys with self-adaptive play complexity to motivate children with cerebral palsy (CP) to continue hand therapy at home. The Magic Monster prototype was presented during the Dutch Design Week 2022 as a part of the Embassy of Health exhibition.

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Playfulness and new technologies in hand therapy for children with cerebral palsy: A Scoping Review

Towards Energy Citizenship for a Just and Inclusive Transition: Lessons Learned on Collaborative Approach of Positive Energy Districts from the EU Horizon2020 Smart Cities and Communities Projects