7 research outputs found
Benchmarking non-photorealistic rendering of portraits
We present a set of images for helping NPR practitioners evaluate their image-based portrait stylisation algorithms. Using a standard set both facilitates comparisons with other methods and helps ensure that presented results are representative. We give two levels of difficulty, each consisting of 20 images selected systematically so as to provide good coverage of several possible portrait characteristics. We applied three existing portrait-specific stylisation algorithms, two general-purpose stylisation algorithms, and one general learning based stylisation algorithm to the first level of the benchmark, corresponding to the type of constrained images that have often been used in portrait-specific work. We found that the existing methods are generally effective on this new image set, demonstrating that level one of the benchmark is tractable; challenges remain at level two. Results revealed several advantages conferred by portrait-specific algorithms over general-purpose algorithms: portrait-specific algorithms can use domain-specific information to preserve key details such as eyes and to eliminate extraneous details, and they have more scope for semantically meaningful abstraction due to the underlying face model. Finally, we provide some thoughts on systematically extending the benchmark to higher levels of difficulty
The Machine as Art/ The Machine as Artist
The articles collected in this volume from the two companion Arts Special Issues, âThe Machine as Art (in the 20th Century)â and âThe Machine as Artist (in the 21st Century)â, represent a unique scholarly resource: analyses by artists, scientists, and engineers, as well as art historians, covering not only the current (and astounding) rapprochement between art and technology but also the vital post-World War II period that has led up to it; this collection is also distinguished by several of the contributors being prominent individuals within their own fields, or as artists who have actually participated in the still unfolding events with which it is concerne
NEUVis: Comparing Affective and Effective Visualisation
Data visualisations are useful for providing insight from complex scientific data. However, even with visualisation, scientific research is difficult for non-scientists to comprehend. When developed by designers in collaboration with scientists, data visualisation can be used to articulate scientific data in a way that non-experts can understand. Creating human-centred visualisations is a unique challenge, and there are no frameworks to support their design. In response, this thesis presents a practice-led study investigating design methods that can be used to develop Non-Expert User Visualisations (NEUVis), data visualisations for a general public, and the response that people have to different kinds of NEUVis. For this research, two groups of ten users participated in quantitative studies, informed by Yvonna Lincoln and Egon Gubaâs method of Naturalistic Inquiry, which asked non-scientists to express their cognitive and emotional response to NEUVis using different media. The three different types of visualisations were infographics, 3D animations and an interactive installation. The installation used in the study, entitled 18S rDNA, was developed and evaluated as part of this research using John Zimmermanâs Research Through Design methodology. 18S rDNA embodies the knowledge and design methods that were developed for this research, and provided an opportunity for explication of the entire NEUVis design process. The research findings indicate that developing visualisations for the non-expert audience requires a new process, different to the way scientists visualise data. The result of this research describes how creative practitioners collaborate with primary researchers and presents a new human-centred design thinking model for NEUVis. This model includes two design tools. The first tool helps designers merge user needs with data they wish to visualise. The second tool helps designers take that merged information and begin an iterative, user-centred design process
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Privacy-Sensitive Robotics
This dissertation focuses on personal privacy in human-robot interaction, which we call "privacy-sensitive robotics." Our understanding of "privacy" is very broad, including not just information privacy but also physical, psychological, and social privacy. We begin by surveying the scholarly literature on privacy and talking about why it applies to interactions with robots. We then make five contributions to help launch privacy-sensitive robotics as an emerging area of research --- one from a literature review, three from empirical studies, and one about the future of privacy-sensitive robotics research:
1. We begin by presenting the current state of the art in privacy protection technologies (whether or not they were designed as such) from the literature.
2. Our first study found differences in usability and user preference between three different interfaces for specifying user privacy preferences to a robot.
3. Our next study showed how the contextual "framing" of an action affects whether people see it as a privacy violation.
4. Our third and final study documents the process of forming beliefs about the robot's sensing capabilities and identifies some key aspects of this process for further study.
5. Finally, we give a set of recommendations for developing privacy-sensitive robotics as a research area.
These five contributions are linked by the goal of privacy-sensitive robotics research: to enable a future in which robotics technology upholds and respects our privacy. We close with a call to action for potential privacy-sensitive robotics researchers
Entwerfen Entwickeln Erleben in Produktentwicklung und Design 2019 - 2
Die Konferenz Entwerfen Entwickeln Erleben hat bereits zum vierten Mal ein einzigartiges Konferenz- und Ausstellungsformat zum Austausch zwischen Wissenschaft und Praxis in Produktentwicklung und Design angeboten.
Am 27. und 28. Juni 2019 ermöglichten die Professuren Konstruktionstechnik/CAD und Technisches Design der Technischen UniversitĂ€t Dresden in Kooperation mit weiteren Partnern den 200 Teilnehmenden die fachĂŒbergreifende Diskussion zu den Themen
⹠InterdisziplinÀrer Entwurf adaptiver Produktsysteme,
âą Entwickeln vernetzter Anwendungen fĂŒr Industrie 4.0,
âą Konstruktion mit hybriden Werkstoffen und fĂŒr additive Fertigungsprozesse,
âą EntwicklungsunterstĂŒtzung durch Produktdatenmanagement und VR/AR,
âą Design nutzerzentriertem Erleben komplexer Produkt-Service-Systeme.:Finishing Perspective (Endbehandlung Perspektive)
Ingmar S. Franke, Mario Linke, Christian Bendicks und Rainer Groh 9
Card Sorting basierter Ansatz zur Erarbeitung einer nutzungsgerechten Methodensammlung am Beispiel des IDE-Toolkits
Martin Wiesner, Björn Kokoschko, Linh BĂči Duy und Laura Augustin 29
Feasibility-Laborâ â erste Vorstellung neuer AnsĂ€tze zur Optimierung der Designumsetzung im Automobilbau
Knut Lender 41
MBSE-basierte Produktkonfiguratoren zur Analyse der Modularisierung bei der Entwicklung modularer Baukastensysteme
Florian Seiler, Lea-Nadine Schwede und Dieter Krause 55
BranchenĂŒbergreifendes Benchmarking von variantenreichen Produktportfolios auf Basis von Produktstrukturen
Christian Wyrwich und Georg Jacobs 71
Aspekte der AuthentizitĂ€t bei der Umsetzung eines kĂŒnstlerischen Entwurfs mit 3D-Software-Werkzeugen
Wolfgang Steger, Christine Schöne und Helmut Nitsche 91
Das Visionsmodell: PrÀzise Darstellung von Entwicklungszielen
Laura Augustin, Michael Schabacker 105
Wissen und HeterogenitÀt in der Produktentwicklung
Alexandra Göhring 111
Kombination der experimentellen und numerischen Simulation zur Entwicklung dreidimensionaler Elektronik
Florian Schaller, Fabian Kayatz und Cedric Sanjon 123
LösungsansĂ€tze fĂŒr eine nachhaltigkeitsorientierte, interdisziplinĂ€re Produktentwicklung
Barbara Gröbe-Boxdorfer 133
Szenariobasierte Validierung von Produktprofilen in der frĂŒhen Phase der PGE-Produktgenerationsentwicklung
Florian Marthaler, Vincent Kutschera, Jonas Reinemann, Nikola Bursac und Albert Albers 149
Vergleich von Produktinnovationsarten â Worin die Unterschiede wirklich begrĂŒndet liegen
Jonas Heimicke, Valentin Zimmermann, Monika Klippert, Markus Spadinger und Albert Albers 165
Zusammenarbeit von Ingenieuren und Designern â die ĂŒberarbeitete VDI/VDE-Richtlinie 2424
Robert Watty, Christian Zimmermann und Gerhard Reichert 181
IM-UX â Fragebogen zu intrinsischer Motivation in der User Experience
Jette Selent und Michael Minge 195
Konzept zur Identifikation relevanter Produkteigenschaften zur UnterstĂŒtzung einer positiven User Experience
Tina Schröppel, Jörg Miehling und Sandro Wartzack 205
User Experience Design fĂŒr Sicherheitstechnik â Ansatz und Methodik bei DrĂ€ger Safety
Marlene Vogel, Matthias Willner, Christian Wölfel und Jens Krzywinski 219
3D-volldigitalisierte Behandlungsplanung bei Lippen-Kiefer-Gaumenspalten
Christiane Kunert-Keil, Dominik Haim, Karol Kozak, Ines Zeidler-Rentzsch, Bernhard Weiland, Olaf MĂŒller, Thomas Treichel und GĂŒnter Lauer 231
Automatische Vermessung der Knietopologie zur UnterstĂŒtzung der Prothesenplanung fĂŒr Kniearthroplastiken
Sebastian Heerwald und Marc Mörig 243
Design und additive Fertigung von individualisierten biofunktionellen Implantaten in klinisch relevanten Dimensionen
David Kilian, Philipp Sembdner, Stefan Holtzhausen, Tilman Ahlfeld, Christine Schöne, Anja Lode, Ralph Stelzer und Michael Gelinsky 253
Design von Medizinprodukten â Einfluss regulatorischer Anforderungen auf den Designprozess
Christian Thomas 267
5G Sports â tragbare Technologiedemonstratoren im taktilen Internet
Lisa-Marie LĂŒneburg, Emese Papp und Jens Krzywinski 277
Verbesserte Ergonomie durch Mensch-Roboter-Kollaboration als sozio-technisches System
Daniel RĂŒcker, Kristin Paetzold und RĂŒdiger Hornfeck 295
Modellbasierter Systems Engineering Ansatz zur effizienten Aufbereitung von VR-Szenen
Atif Mahboob, Stephan Husung, Christian Weber, Andreas Liebal und Heidi Krömker 309
Akzeptanz und Nutzererleben von körpergetragenen Assistenzsystemen im industriellen Anwendungsbereich
Emese Papp und Christian Wölfel 323
Modell zur UnterstĂŒtzung von Designentscheidungen auf strategischer Unternehmensebene im Industrial Design
Frank Thomas GĂ€rtner 335
Der Einfluss stilistischer Merkmale einer Entwurfsvisualisierung auf die semantischen Produkteigenschaften
Frank MĂŒhlbauer 347
Konstruktionslösungen mit Hilfe von KĂŒnstlicher Intelligenz
Willi GrĂŒnder und Denis Polyakov 361
Das Analysekompetenz-MarktprioritÀt-Portfolio zum Vergleich von Datenanalyseprojekten in der Produktentwicklung
Sebastian Klement, Bernhard Saske, Stephan Arndt und Ralph Stelzer 375
Einsatz von Graphdatenbanken fĂŒr das Produktdatenmanagement im Kontext von Industrie 4.0
Christopher Sauer, Benjamin Schleich und Sandro Wartzack 393
Predictive Quality Management mit modellbasierten Services in kollaborierenden Netzwerken
Andreas Trautheim-Hofmann 409
Softwareentwicklung ECM/WCM im Spannungsfeld KMUsâGroĂunternehmen
Oliver Schwarz und Christian Kowalewski 41