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Approximate clone detection is the process of identifying similar process fragments in business process model collections. The tool presented in this paper can efficiently cluster approximate clones in large process model repositories. Once a repository is clustered, users can filter and browse the clusters using different filtering parameters. Our tool can also visualize clusters in the 2D space, allowing a better understanding of clusters and their member fragments. This demonstration will be useful for researchers and practitioners working on large process model repositories, where process standardization is a critical task for increasing the consistency and reducing the complexity of the repository.
Design ist allgegenwärtig - es durchtränkt gleichsam das Leben, oftmals unbewusst, doch immer durchscheinend und folgenhaft. Es ist Bestandteil des Habitus und unverzichtbarer Teil einer jeden Identität. Selbst im bewussten Verzicht auf Design kommt eine spezifische Designästhetik zum Ausdruck, die anders sein möchte. Doch welche Normierungen greifen hier und dienen als Orientierung für Absetzbewegungen? Dies zeigt sich vor allem in der Prägung durch massenmediale Diskurse. Die Beiträge des Bandes entwickeln zu diesem zentralen Dispositiv einen theoretischen wie praktischen Rahmen und reflektieren Indikatoren für entsprechende Leistungen. (Verlagsangaben)
When developing new ICT systems and applications for domestic environments, rich qualitative approaches improve the understanding of the user's integral usage of technology in their daily routines and thereby inform design. This knowledge will often be reached through in-home studies, strong relationships with the users and their involvement in the design and evaluation process. However, whilst this kind of research offers valuable context insights and brings out unexpected findings, it also presents methodological, technical and organizational challenges for the study design and its underlying cooperation processes. In particular, due to heterogeneous users in households in terms of technology affinity, individual needs, age distribution, gender, social constellations, personal role assignment, project expectations, etc. it produces particular demands to collaborate with users in the design process and thereby exposes a range of practical challenges. The full-day workshop wishes to identify these practical challenges, discuss best practice and develop a roadmap for sustainable relationships for design with users.
Designing stereoscopic information visualization for 3D-TV: What can we learn from S3D gaming?
(2012)
This paper explores graphical design and spatial alignment of visual information and graphical elements into stereoscopically filmed content, e.g. captions, subtitles, and especially more complex elements in 3D-TV productions. The method used is a descriptive analysis of existing computer- and video games that have been adapted for stereoscopic display using semi-automatic rendering techniques (e.g. Nvidia 3D Vision) or games which have been specifically designed for stereoscopic vision. Digital games often feature compelling visual interfaces that combine high usability with creative visual design. We explore selected examples of game interfaces in stereoscopic vision regarding their stereoscopic characteristics, how they draw attention, how we judge effect and comfort and where the interfaces fail. As a result, we propose a list of five aspects which should be considered when designing stereoscopic visual information: explicit information, implicit information, spatial reference, drawing attention, and vertical alignment. We discuss possible consequences, opportunities and challenges for integrating visual information elements into 3D-TV content. This work shall further help to improve current editing systems and identifies a need for future editing systems for 3DTV, e.g., live editing and real-time alignment of visual information into 3D footage.
This article concerns the design and development of Information- and Communication Technology, in particular computer systems in regard to the demographic transition which will influence user capabilities. It is questionable if current applied computer systems are able to meet the requirements of altered user groups with diversified capabilities. Such an enquiry is necessary based on actual forecasts leading to the assumption that the average age of employees in enterprises will increase significantly within the next 50-60 years, while the percentage of computer aided business tasks, operated by human individuals, rises from year to year. This progress will precipitate specific consequences for enterprises regarding the design and application of computer systems. If computer systems are not adapted to altered user requirements, efficient and productive utilisation could be negatively influenced. These consequences constitute the motivation to extend traditional design methodologies and thereby ensure the application of computer systems that are usable, independent of user capabilities.
In complex, expensive optimization domains we often narrowly focus on finding high performing solutions, instead of expanding our understanding of the domain itself. But what if we could quickly understand the complex behaviors that can emerge in said domains instead? We introduce surrogate-assisted phenotypic niching, a quality diversity algorithm which allows to discover a large, diverse set of behaviors by using computationally expensive phenotypic features. In this work we discover the types of air flow in a 2D fluid dynamics optimization problem. A fast GPU-based fluid dynamics solver is used in conjunction with surrogate models to accurately predict fluid characteristics from the shapes that produce the air flow. We show that these features can be modeled in a data-driven way while sampling to improve performance, rather than explicitly sampling to improve feature models. Our method can reduce the need to run an infeasibly large set of simulations while still being able to design a large diversity of air flows and the shapes that cause them. Discovering diversity of behaviors helps engineers to better understand expensive domains and their solutions.