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In Fortführung zu den drei erfolgreichen „Usable Security und Privacy“ Workshops der letzten drei Jahre, sollen in einem vierten ganztätigen wissenschaftlichen Workshop auf der diesjährigen Mensch und Computer sechs bis acht Arbeiten auf dem Gebiet Usable Security and Privacy vorgestellt und diskutiert werden. Vorgesehen sind Beiträge aus Forschung und Praxis, die neue nutzerzentrierte Ansätze aber auch praxisrelevante Lösungen zur nutzerzentrierten Entwicklung und Ausgestaltung von digitalen Schutzmechanismen thematisieren. Mit dem Workshop soll das etablierte Forum weiterentwickelt werden, in dem sich Experten aus unterschiedlichen Domänen, z. B. dem Usability-Engineering und Security-Engineering, transdisziplinär austauschen können. Der Workshop wird von den Organisatoren als klassischer wissenschaftlicher Workshop ausgestaltet. Ein Programmkomitee bewertet die Einreichungen und wählt daraus die zur Präsentation akzeptierten Beiträge aus. Diese werden zudem im Poster- und Workshopband der Mensch und Computer 2018 veröffentlicht.
This paper describes a dynamic, model-based approach for estimating intensities of 22 out of 44 different basic facial muscle movements. These movements are defined as Action Units (AU) in the Facial Action Coding System (FACS) [1]. The maximum facial shape deformations that can be caused by the 22 AUs are represented as vectors in an anatomically based, deformable, point-based face model. The amount of deformation along these vectors represent the AU intensities, and its valid range is [0, 1]. An Extended Kalman Filter (EKF) with state constraints is used to estimate the AU intensities. The focus of this paper is on the modeling of constraints in order to impose the anatomically valid AU intensity range of [0, 1]. Two process models are considered, namely constant velocity and driven mass-spring-damper. The results show the temporal smoothing and disambiguation effect of the constrained EKF approach, when compared to the frame-by-frame model fitting approach ‘Regularized Landmark Mean-Shift (RLMS)’ [2]. This effect led to more than 35% increase in performance on a database of posed facial expressions.
One of the main aims of current social robotic research is to improve the robots’ abilities to interact with humans. In order to achieve an interaction similar to that among humans, robots should be able to communicate in an intuitive and natural way and appropriately interpret human affects during social interactions. Similarly to how humans are able to recognize emotions in other humans, machines are capable of extracting information from the various ways humans convey emotions-including facial expression, speech, gesture or text-and using this information for improved human computer interaction. This can be described as Affective Computing, an interdisciplinary field that expands into otherwise unrelated fields like psychology and cognitive science and involves the research and development of systems that can recognize and interpret human affects. To leverage these emotional capabilities by embedding them in humanoid robots is the foundation of the concept Affective Robots, which has the objective of making robots capable of sensing the user’s current mood and personality traits and adapt their behavior in the most appropriate manner based on that. In this paper, the emotion recognition capabilities of the humanoid robot Pepper are experimentally explored, based on the facial expressions for the so-called basic emotions, as well as how it performs in contrast to other state-of-the-art approaches with both expression databases compiled in academic environments and real subjects showing posed expressions as well as spontaneous emotional reactions. The experiments’ results show that the detection accuracy amongst the evaluated approaches differs substantially. The introduced experiments offer a general structure and approach for conducting such experimental evaluations. The paper further suggests that the most meaningful results are obtained by conducting experiments with real subjects expressing the emotions as spontaneous reactions.
Auf den Kunden fixiert
(2018)
Beim Entwurf eines effizienten und sicheren Luftfahrzeugs müssen viele fachliche Aspekte berücksichtigt werden. Die Bereiche Aerodynamik, Strukturmechanik als auch Flugmechanik spielen eine wichtige Rolle und hängen voneinander ab. Daher ist ein iterativer Entwurfsprozess erforderlich, um einen an die Anforderungen bestmöglich angepassten Kompromiss zu finden. In der Forschung am Deutschen Zentrum für Luft- und Raumfahrt e.V. (DLR) werden dafür automatisierte Prozessketten entwickelt, die zur Bewertung und Entwicklung von neuen Flugzeugkonzepten dienen.
Der globalisierte Kapitalismus, Umweltkatastrophen, Überbevölkerung sowie zunehmende politisch und religiös motivierte Konflikte fordern ein Umdenken ökonomischer Konzepte. Allein mit den herkömmlichen Sozial- und Wirtschaftssystemen lassen sich existenzbedrohende Probleme wie Armut, Hunger, Krankheit, mangelnde Bildung und Betreuung nicht lösen. Es gilt dringend, neue, zukunftsweisende unternehmerische Konzepte zu entwickeln und zu fördern. Seit geraumer Zeit hat sich unter dem Begriff „Social Entrepreneurship“ eine Bewegung etabliert, die versucht, unter Beachtung klassischer Ökonomiegrundsätze gesellschaftliche Herausforderungen nachhaltig zu lösen.
The exchange program was aimed at giving students an international exposure through teaching and intercultural communication and to also enhance the existing relationship among the partner schools. The program lasted for a period of six months from September 2016 to February 2017. The main part of the program was the International Management program which comprised of four courses. The program offered us an opportunity to travel to four European countries to broaden our academic and social network.
The exchange program enables students to travel from their home countries to a partner university in the German-African University project. Students from the University of Nairobi in Kenya and University of Cape Coast in Ghana travel to the Hochschule Bonn-Rhein-Sieg University of Applied Sciences and stay for three months attending classes and participating in academic activities together with German students. Similarly, students from Hochschule Bonn-Rhein-Sieg, University of Applied Sciences, travel to either West or East Africa and are hosted for three months by universities participating in the project. The program enables Kenyan students to accustom themselves to the German way of life and student-centered learning and disciplines. The program integrates fieldwork into the learning activities making education both a skill-imparting and fun process.