The Impact of Concept Representation in Interactive Concept Validation (ICV)

Large scale ideation has developed as a promising new way of obtaining large numbers of highly diverse ideas for a given challenge. However, due to the scale of these challenges, algorithmic support based on a computational understanding of the ideas is a crucial component in these systems. One promising solution is the use of knowledge graphs to provide meaning. A significant obstacle lies in word-sense disambiguation, which cannot be solved by automatic approaches. In previous work, we introduce \textit{Interactive Concept Validation} (ICV) as an approach that enables ideators to disambiguate terms used in their ideas. To test the impact of different ways of representing concepts (should we show images of concepts, or only explanatory texts), we conducted experiments comparing three representations. The results show that while the impact on ideation metrics was marginal, time/click effort was lowest in the images only condition, while data quality was highest in the both condition

The Evidence Hub: harnessing the collective intelligence of communities to build evidence-based knowledge

Conventional document and discussion websites provide users with no help in assessing the quality or quantity of evidence behind any given idea. Besides, the very meaning of what evidence is may not be unequivocally defined within a community, and may require deep understanding, common ground and debate. An Evidence Hub is a tool to pool the community collective intelligence on what is evidence for an idea. It provides an infrastructure for debating and building evidence-based knowledge and practice. An Evidence Hub is best thought of as a filter onto other websites — a map that distills the most important issues, ideas and evidence from the noise by making clear why ideas and web resources may be worth further investigation. This paper describes the Evidence Hub concept and rationale, the breath of user engagement and the evolution of specific features, derived from our work with different community groups in the healthcare and educational sector

From science teacher to 'teacher scientist':exploring the experiences of research-active science teachers in the UK.

We explore the professional identities of UK-based secondary science teachers who actively participated in science research for at least six months. The study uses thematic analysis to analyse semi-structured interviews with 17 participants across England and Scotland, from a variety of educational/socio-economic contexts. We found that through participation in research projects, teachers develop a multi-faceted sense of professional identity that includes the roles of teacher, scientist/researcher, mentor and coach. Teachers who are research-active develop complex professional networks that have a positive impact upon their sense of professional worth and self-belief. Through participation in research, teachers identified as both science teachers and scientists and this has been encapsulated in this research as a transition in professional identity to ‘teacher scientist’. The key enabling factor in identification as a ‘teacher scientist’ is a teacher’s positive interaction with scientists/researchers. Teachers are motivated to participate in research projects in response to the enthusiasm of their students and a desire for students to contribute to research that could provide solutions to real-world challenges. This understanding of the capacity of science teachers to become ‘teacher scientists’, and recognising teachers' altruistic motivations, could contribute to teacher retention and recruitment strategies that are less focused on financial incentives

Natural Language Processing in-and-for Design Research

We review the scholarly contributions that utilise Natural Language Processing (NLP) methods to support the design process. Using a heuristic approach, we collected 223 articles published in 32 journals and within the period 1991-present. We present state-of-the-art NLP in-and-for design research by reviewing these articles according to the type of natural language text sources: internal reports, design concepts, discourse transcripts, technical publications, consumer opinions, and others. Upon summarizing and identifying the gaps in these contributions, we utilise an existing design innovation framework to identify the applications that are currently being supported by NLP. We then propose a few methodological and theoretical directions for future NLP in-and-for design research

The impact of semantic knowledge management system on firms' innovation and competitiveness

D.B.A ThesisIn the knowledge economy, knowledge is increasingly becoming the primary factor of production and foundational component of innovation. Firms must improve their capabilities of handling knowledge in line with its recent explosive growth to stay competitive. This research addresses the effects semantic technology-based knowledge management system (Semantic KMS) can have on firms’ performance. Based on existing literature, a conceptual model covering Semantic KMS, KM, innovation, and competitiveness was designed to test the validity of the hypotheses. A total of 640 survey questionnaires were sent to the companies that practice KM actively. 178 usable responses were received. Pearson’s correlation, exploratory and confirmatory factor analyses and structural equation modeling were used to analyze the data. The results indicate that Semantic KMS is positively related to the KM effectiveness. Organizational KM is positively linked to innovation and competitiveness directly. In the context of KM, innovation's effect on competitiveness is not convincing. Moreover, the study could not identify that KM has any strong relationship with organizational competitiveness mediated through innovation. Being one of the first significant studies of Semantic KMS and its impact, the study adds to the growing literature on the use of semantic technology in various fields. It develops a new theoretical model which has never been tested before. The study used data collected from single respondent of each firm in a snapshot and did not consider feedback effects. It examined Semantic KMS as a holistic system, but in many cases, companies only deploy certain KM related tools supported by semantic technology. A different research approach could investigate the impacts of those tools on relevant business processes. This study demonstrates that deployment of semantic technology is beneficial for companies and allows them to take advantage of the use of advanced technologies in their KM quest. It brings significant benefits to the firm thanks to improved capabilities of the new KMS in knowledge discovery, aggregation, use, and sharing. The study also confirms that for a successful KM initiative, KM processes need to be optimized and supported by KMS. Semantic technology is a set of advanced tools used lately in many information systems. This study is one of the first in-depth research about their impacts on KMS. It will guide KM managers in their decision-making process when they consider developing or integrating newKMS tools. For academics, this research highlights the importance of investigating KM from the new technology perspective.

A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space

Annotations are a vital component of data externalization and collaborative analysis, directing readers' attention to important visual elements. Therefore, it is crucial to understand their design space for effectively annotating visualizations. However, despite their widespread use in visualization, we have identified a lack of a design space for common practices for annotations. In this paper, we present two studies that explore how people annotate visualizations to support effective communication. In the first study, we evaluate how visualization students annotate bar charts when answering high-level questions about the data. Qualitative coding of the resulting annotations generates a taxonomy comprising enclosure, connector, text, mark, and color, revealing how people leverage different visual elements to communicate critical information. We then extend our taxonomy by performing thematic coding on a diverse range of real-world annotated charts, adding trend and geometric annotations to the taxonomy. We then combine the results of these studies into a design space of annotations that focuses on the key elements driving the design choices available when annotating a chart, providing a reference guide for using annotations to communicate insights from visualizations

Understanding the Roles of sketching in product design

Sketching is an essential part of the tradition and practice of design. However, despite the extensive literature on the subject, the roles of sketching in the design are still not fully understood. Therefore, this PhD study was carried out to understand the roles of sketching in the product design field and to develop the means to support the design sketching process. Hypotheses emerged from the review of the literature and led to three descriptive studies: a pilot study to identify the roles of sketching in design; a survey of design students; a survey of design professionals. Data collected from these studies were used to test and verify the hypotheses. It was found that the major roles of sketching in design were related to design ideation and design communication. The comparison between design students and professionals showed that they tend to perceive the major roles of sketching differently, but shared similar opinions on the major roles of talking sketches, sketching expertise and as a practical supporting tool. In addition, an Ideation Segment Model was proposed, which describes the process that sketching ideas evolve into final design outcomes and locates the potential supporting tools in the sketching process. Consequently, a practical supporting tool was developed to enhance understanding of design sketching, to provide external stimuli, and to improve sketching expertise. The supporting tool, entitled the PD-Sketching Primer and PD-Sketching Toolkit, was tested with education and positive feedback was received. This research has contributed towards understanding the roles of sketching in design, e.g. it is the first empirical study of ‘non-working sketches’ in the design field. It has generated new knowledge and tools to support the design sketching process. This supporting tool is one of only a few resources designed to support sketching activity and creative performance in the product design field.Open Acces