Research about design cognition acknowledges the importance of knowledge about exiting solutions. Designers tend to employ solution oriented thinking strategies; they generate idea’s starting from initial solutions - called primary generators; they are known to rely on episodic knowledge and precedent throughout the design process; and they iterate frequently between the problem and solution space . This raises the question how such solutions, often in the form of existing designs are taught. Few design programs explicitly acknowledge existing solutions as part of the designers knowledge base, or specify, for example, what types of analyses designers should be able to perform on them. We believe design education could benefit from rethinking how their curricula handle solutions and from explicating this role. To this end we introduce the notion of ‘solution repertoire’. With this term we refer to the knowledge designers have of existing solutions. An analysis of the notion of solution repertoire helps us to identify and recognize solution oriented knowledge and its treatment in our schools. This, in turn, helps us to make more informed choices in our curriculum development.
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Design education has a nuanced relationship with examples. Although they are considered useful teaching tools, their use is often restricted to illustrating the design theories and principles around which the curriculum is structured. In contrast, professional designers view examples as autonomous entities and use them to initiate a critical dialogue with their current problem space. Therefore, students should be facilitated in cultivating their own repertoire of solutions and learn to initiate conversations between existing solutions and design challenges to gain a better understanding of the problem space and generate new designs. This paper outlines a small-scale experiment conducted with master's students in Applied Data Science at Utrecht University who took a course on designing recommender system interfaces. The students were provided with a set of examples of recommender interface designs as their main instructional tool. They could use this set to curate their own solution repertoire. As a result, the majority of the participants' work displayed more diverse designs, and they used design patterns distilled from those examples generatively, developing innovative designs. Based on this case study, we tentatively conclude that a design curriculum built around examples, complemented by theories, could be advantageous, as long as special attention is given to helping students initiate fruitful iterations between their challenges and a set of solutions.
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The promotor was Prof. Erik Jan Hultink and copromotors Dr Ellis van den Hende en Dr R. van der Lugt. The title of this dissertation is Armchair travelling the innovation journey. ‘Armchair travelling’ is an expression for travelling to another place, in the comfort of one’s own place. ‘The innovation journey’ is the metaphor Van de Ven and colleagues (1999) have used for travelling the uncharted river of innovation, the highly unpredictable and uncontrollable process of innovation. This research study began with a brief remark from an innovation project leader who sighed after a long and rough journey: ‘had I known this ahead of time…’. From wondering ‘what could he have known ahead of time?’ the immediate question arose: how do such innovation journeys develop? How do other innovation project leaders lead the innovation journey? And could I find examples of studies about these experiences from an innovation project leader’s perspective that could have helped the sighing innovation project leader to have known at least some of the challenges ahead of time? This dissertation is the result of that quest, as we do know relatively little how this process of the innovation project leader unfolds over time. The aim of this study is to increase our understanding of how innovation project leaders lead their innovation journeys over time, and to capture those experiences that could be a source for others to learn from and to be better prepared. This research project takes a process approach. Such an approach is different from a variance study. Process thinking takes into account how and why things – people, organizations, strategies, environments – change, act and evolve over time, expressed by Andrew Pettigrew (1992, p.10) as catching “reality in flight”.
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Survivors of father–daughter incest often suffer from complex trauma and sensory insensitivity, making it difficult to decipher the sensations in the body and experience body ownership, self-location and agency. This case study illustrates how sensory focused, Trauma-Centred Developmental Transformations can help restore or develop a bodily self, desensitize fear-based schemas, revise deeply buried beliefs and extend repertoire.
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Mentor teachers need a versatile supervisory skills repertoire. Besides taking the prevalent role of daily advisor and instructor, mentor teachers should also be able to stimulate reflection in student teachers. Video recordings were analyzed of 60 mentoring dialogues, both before and after a mentor teacher training aiming at developing the encourager role. Mentor teachers' repertoires of supervisory skills were found to consist of an average of seven supervisory skills. After training, a shift was observed in the frequencies and duration with which supervisory skills were used. Although considerable inter-individual variability existed between mentor teachers, training positively affected the use of supervisory skills for stimulating reflection in student teachers.
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This article explores how junior design professionals cope with value-based conflicts. We interviewed 22 design professionals about past and current value-based conflicts and the coping strategies adopted. Applying a grounded theory approach, we identified 11 types of coping strategies employed by junior design professionals. Our findings allowed us to clarify the nature of the coping process and localise value-based conflicts in the process of collaborative practice. During the coping process, professionals learn how to handle value-based conflicts through emotional release, developing a broader action repertoire, and engaging in timely action. We also identified transitions between specific coping strategies as junior designers learned from past conflicts and developed as a professional.
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Design schools in digital media and interaction design face the challenge of integrating recent artificial intelligence (AI) advancements into their curriculum. To address this, curricula must teach students to design both "with" and "for" AI. This paper addresses how designing for AI differs from designing for other novel technologies that have entered interaction design education. Future digital designers must develop new solution repertoires for intelligent systems. The paper discusses preparing students for these challenges, suggesting that design schools must choose between a lightweight and heavyweight approach toward the design of AI. The lightweight approach prioritises designing front-end AI applications, focusing on user interfaces, interactions, and immediate user experience impact. This requires adeptness in designing for evolving mental models and ethical considerations but is disconnected from a deep technological understanding of the inner workings of AI. The heavyweight approach emphasises conceptual AI application design, involving users, altering design processes, and fostering responsible practices. While it requires basic technological understanding, the specific knowledge needed for students remains uncertain. The paper compares these approaches, discussing their complementarity.
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Recommenders play a significant role in our daily lives, making decisions for users on a regular basis. Their widespread adoption necessitates a thorough examination of how users interact with recommenders and the algorithms that drive them. An important form of interaction in these systems are algorithmic affordances: means that provide users with perceptible control over the algorithm by, for instance, providing context (‘find a movie for this profile’), weighing criteria (‘most important is the main actor’), or evaluating results (‘loved this movie’). The assumption is that these algorithmic affordances impact interaction qualities such as transparency, trust, autonomy, and serendipity, and as a result, they impact the user experience. Currently, the precise nature of the relation between algorithmic affordances, their specific implementations in the interface, interaction qualities, and user experience remains unclear. Subjects that will be discussed during the workshop, therefore, include but are not limited to the impact of algorithmic affordances and their implementations on interaction qualities, balances between cognitive overload and transparency in recommender interfaces containing algorithmic affordances; and reasons why research into these types of interfaces sometimes fails to cross the research-practice gap and are not landing in the design practice. As a potential solution the workshop committee proposes a library of examples of algorithmic affordances design patterns and their implementations in recommender interfaces enriched with academic research concerning their impact. The final part of the workshop will be dedicated to formulating guiding principles for such a library.
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The purpose of this paper is to lay the groundwork for a large-scale prescriptive research project on organizing intergenerational communities of practice as a way to help organizations deal with some of the problems an ageing worker population brings with it. After a definition of the problem, a review of four seminal works on communities of practice was done to see if organizing intergenerational communities of practice might in fact be a viable solution to the problems of an ageing organizational population. Results are encouraging and lead to the conclusion that management might start to consider organizing these communities as a way to shed new light on older workers.
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From the article: Abstract Over the last decades, philosophers and cognitive scientists have argued that the brain constitutes only one of several contributing factors to cognition, the other factors being the body and the world. This position we refer to as Embodied Embedded Cognition (EEC). The main purpose of this paper is to consider what EEC implies for the task interpretation of the control system. We argue that the traditional view of the control system as involved in planning and decision making based on beliefs about the world runs into the problem of computational intractability. EEC views the control system as relying heavily on the naturally evolved fit between organism and environment. A ‘lazy’ control structure could be ‘ignorantly successful’ in a ‘user friendly’ world, by facilitating the transitory creation of a flexible and integrated set of behavioral layers that are constitutive of ongoing behavior. We close by discussing the types of questions this could imply for empirical research in cognitive neuroscience and robotics.
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