The HRM study program of The Hague University of Applied Sciences (THUAS) recently replaced classical, module-based education by so-called learning landscapes in which students approach complex problems by interdisciplinary learning activities. Teachers collaborate in multi-disciplinary teams that have a shared responsibility to support students as well as to innovate their education. This new way of organizing educational processes not only need to strengthen the learning ability and flexibility of students, but also the learning and innovation ability of teachers. Our exploratory research among teachers showed that this new way of working increased their job satisfaction. However, teachers experience difficulties in implementing their ideas, which is an important precondition for sustainable educational innovation. In our research we addressed the question whether the new working context of teachers supported innovation. The organizational structure as described in this case study is characterized by a high degree of autonomy for the teachers who collaborate in multidisciplinary teams, in which the management rewards innovative behaviour and facilitates where possible. Given the fact that this context incorporates a high number of elements that are known to facilitate innovation, the assumption was that teachers would experience that this context was supporting them to innovate. We evaluated whether this was indeed the case in their educational innovation. Our research shows that in general teachers positively evaluate the new working context. They experience the renewal process to contribute to their job satisfaction and feel supported by the management. A large majority of the teachers, partly as a result of this new working context, do have many ideas to renew the education. Even though they use multiple sources to generate ideas, they are mainly inspired by the needs of students and the occupational practice. Especially by sharing their ideas with others, they enrich their ideas. For the implementation of their ideas they specifically focus on creating buy-in, mentioned in two-thirds of the storyboards, with activities such as seeking allies, communicating the idea to others and ‘drinking lots of coffee’. In addition, experiments help to make their ideas more visible.
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In this paper we introduce a novel highly interactive process to generate natural language narratives on the basis of our ongoing work on semiotic relations. To the two basic components of interactive systems, namely, a software tool and a user interface, we add a third component - AI agents, understood as an upgraded rendition of software agents. Our semiotic relations approach considers four ways of composing new narratives from existing narratives. Along what semioticians call the horizontal syntagmatic axis, one can form the new narrative by combining two or more previous narratives. Along the vertical paradigmatic axis, the new narrative may emerge as a similar version, which imitates the previous one, possibly in a different context. Along the depth meronymic axis, the hierarchic narrative levels, such as plot, event, and scene, are explored, allowing either expansion or summarization. Lastly, the antithetic consideration, rather than adding a dimension, aims at some form of reversal, through the adoption of opposite values. A fully operational prototype is described. Its name, ChatGeppetto, conflates the skilled Geppetto, who fashioned Pinocchio, an early case of artisanship-produced human level intelligence, with ChatGPT, which operates as the main AI agent component. To run the experiments, we concentrated on book narratives.
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This paper explores how the concept of life has been used in video games through time. Life is an essential element in different types of action games and several nuances have been used to provide various types of emotions and effects during gameplay. However, the details and patterns have not been extendedly analyzed. Primarily, we survey works regarding the description and formalization of game analysis with emphasis on works in which the concepts have impact in the arguably accepted notion of life. Multiple examples are provided to show different approaches to the concept of life and the impact of such approaches in overall gameplay, namely in the game difficulty and emotions. The examples are then generalized, resulting in a proposal of framework to describe life representation in games. The proposed framework was evaluated in a user study, having participants with gaming culture (professionals, academics, and students of game development courses). Each participant was assigned with the task of fitting a preselected set of games within the framework. The results indicate good coverage of the main concepts with satisfactory consistency.
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With artificial intelligence (AI) systems entering our working and leisure environments with increasing adaptation and learning capabilities, new opportunities arise for developing hybrid (human-AI) intelligence (HI) systems, comprising new ways of collaboration. However, there is not yet a structured way of specifying design solutions of collaboration for hybrid intelligence (HI) systems and there is a lack of best practices shared across application domains. We address this gap by investigating the generalization of specific design solutions into design patterns that can be shared and applied in different contexts. We present a human-centered bottom-up approach for the specification of design solutions and their abstraction into team design patterns. We apply the proposed approach for 4 concrete HI use cases and show the successful extraction of team design patterns that are generalizable, providing re-usable design components across various domains. This work advances previous research on team design patterns and designing applications of HI systems.
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This article presents a novel and highly interactive process to generate natural language narratives based on our ongoing work on semiotic relations, providing four criteria for composing new narratives from existing stories. The wide applicability of this semiotic reconstruction process is suggested by a reputed literary scholar's deconstructive claim that new narratives can often be shown to be a tissue of previous narratives. Along, respectively, three semiotic axes – syntagmatic, paradigmatic, and meronymic – existing stories can yield new stories by the combination, imitation, or expansion of an iconic scene; lastly, a new story may emerge through reversal via an antithetic consideration, i.e., through the adoption of opposite values. Targeting casual users, we present a fully operational prototype with a simple and user-friendly interface that incorporates an AI agent, namely ChatGPT. The prototype, in a coauthor capacity, generates context-compatible sequences of events in storyboard format using backward-chaining abductive reasoning (employing Stable Diffusion to draw scene illustrations), conforming as much as possible to the user's authorial instructions. The extensive repertoire of book and movie summaries available to the AI agent obviates the need to manually supply laborious and error-prone context specifications. A user study was conducted to evaluate user experience and satisfaction with the generated narratives. The preliminary findings suggest that our approach has the potential to enhance story quality while offering a positive user experience.
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Large groups in society lack the necessary skills to be sufficiently self-reliant and are in need of personal assistance. These groups could be supported by information and information technology (ICT), but only if this technology is designed to fit their (cognitive) abilities. Inclusive design theory and methods have already been developed in research contexts, but there is still a gap between theory and practice. There is a need for a practical aid, that helps to create awareness of inclusive design among ICT developers, and offers easy-to-use information and tools to actually apply the methods for diverse target groups. This paper describes the first steps taken towards an inclusive design toolbox for developing ICT applications that offer cognitive support for selfreliance. Dutch ICT companies were interviewed and participated in a co-design workshop, leading to a number of initial needs, user requirements, and an on-line community, that form input for further development of the toolbox.
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In dit abstract wordt de ontwikkeling van een online onderwijsmodule beschreven gericht op eHealth voor leefstijlverbetering
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To improve people’s lives, human-computer interaction researchers are increasingly designing technological solutions based on behavior change theory, such as social comparison theory (SCT). However, how researchers operationalize such a theory as a design remains largely unclear. One way to clarify this methodological step is to clearly state which functional elements of a design are aimed at operationalizing a specific behavior change theory construct to evaluate if such aims were successful. In this article, we investigate how the operationalization of functional elements of theories and designs can be more easily conveyed. First, we present a scoping review of the literature to determine the state of operationalizations of SCT as behavior change designs. Second, we introduce a new tool to facilitate the operationalization process. We term the tool blueprints. A blueprint explicates essential functional elements of a behavior change theory by describing it in relation to necessary and sufficient building blocks incorporated in a design. We describe the process of developing a blueprint for SCT. Last, we illustrate how the blueprint can be used during the design refinement and reflection process.
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Wat vinden docenten in het beroepsonderwijs in onderwijspedagogische zin de moeite van het onderwijzen waard? Deze vraag staat centraal in de publicatie Onderwijspedagogische visies van mbo-docenten.
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(‘Co’-)Designing for healthy behaviour greatly benefits from integrating insights about individual behaviour and systemic influences. This study reports our experiences in using insights about individual and systemic determinants of behaviour to inform a large co-design project. To do so, we used two design tools that encourage focusing on individual determinants (Behavioural Lenses Approach) and social / systemic aspects of behaviour (Socionas). We performed a qualitative analysis to identify 1) when and how the team applied the design tools, and 2) how the tools supported or obstructed the design process. The results show that both tools had their distinctive uses during the process. Both tools improved the co-design process by deepening the conversations and underpinnings of the prototypes. Using the Behavioural Lenses under the guidance of a behavioural expert proved most beneficial. Furthermore, the Socionas showed the most potential when interacting with stakeholders, i.c. parents and PPTs.
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