TY - GEN A1 - Marwecki, Sebastian A1 - Baudisch, Patrick T1 - Scenograph BT - Fitting Real-Walking VR Experiences into Various Tracking Volumes T2 - UIST '18: Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology N2 - When developing a real-walking virtual reality experience, designers generally create virtual locations to fit a specific tracking volume. Unfortunately, this prevents the resulting experience from running on a smaller or differently shaped tracking volume. To address this, we present a software system called Scenograph. The core of Scenograph is a tracking volume-independent representation of real-walking experiences. Scenograph instantiates the experience to a tracking volume of given size and shape by splitting the locations into smaller ones while maintaining narrative structure. In our user study, participants' ratings of realism decreased significantly when existing techniques were used to map a 25m2 experience to 9m2 and an L-shaped 8m2 tracking volume. In contrast, ratings did not differ when Scenograph was used to instantiate the experience. KW - Virtual reality KW - real-walking KW - locomotion Y1 - 2018 SN - 978-1-4503-5948-1 U6 - https://doi.org/10.1145/3242587.3242648 SP - 511 EP - 520 PB - Association for Computing Machinery CY - New York ER - TY - JOUR A1 - Brewka, Gerhard A1 - Ellmauthaler, Stefan A1 - Kern-Isberner, Gabriele A1 - Obermeier, Philipp A1 - Ostrowski, Max A1 - Romero, Javier A1 - Schaub, Torsten H. A1 - Schieweck, Steffen T1 - Advanced solving technology for dynamic and reactive applications JF - Künstliche Intelligenz Y1 - 2018 U6 - https://doi.org/10.1007/s13218-018-0538-8 SN - 0933-1875 SN - 1610-1987 VL - 32 IS - 2-3 SP - 199 EP - 200 PB - Springer CY - Heidelberg ER - TY - GEN A1 - Klieme, Eric A1 - Tietz, Christian A1 - Meinel, Christoph T1 - Beware of SMOMBIES BT - Verification of Users based on Activities while Walking T2 - The 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom 2018)/the 12th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE 2018) N2 - Several research evaluated the user's style of walking for the verification of a claimed identity and showed high authentication accuracies in many settings. In this paper we present a system that successfully verifies a user's identity based on many real world smartphone placements and yet not regarded interactions while walking. Our contribution is the distinction of all considered activities into three distinct subsets and a specific one-class Support Vector Machine per subset. Using sensor data of 30 participants collected in a semi-supervised study approach, we prove that unsupervised verification is possible with very low false-acceptance and false-rejection rates. We furthermore show that these subsets can be distinguished with a high accuracy and demonstrate that this system can be deployed on off-the-shelf smartphones. KW - gait KW - authentication KW - smartphone KW - activities KW - verification KW - behavioral KW - continuous Y1 - 2018 SN - 978-1-5386-4387-7 SN - 978-1-5386-4389-1 U6 - https://doi.org/10.1109/TrustCom/BigDataSE.2018.00096 SN - 2324-9013 SP - 651 EP - 660 PB - IEEE CY - New York ER - TY - CHAP A1 - Keil, Reinhard A1 - Konert, Johannes A1 - Damnik, Gregor A1 - Gierl, Mark J. A1 - Proske, Antje A1 - Körndle, Hermann A1 - Narciss, Susanne A1 - Wahl, Marina A1 - Hölscher, Michael A1 - Mariani, Ennio A1 - Jaisli, Isabel A1 - Tscherejkina, Anna A1 - Morgiel, Anna A1 - Moebert, Tobias A1 - Herbstreit, Stephanie A1 - Mäker, Daniela A1 - Szalai, Cynthia A1 - Braun, Iris A1 - Kapp, Felix A1 - Hara, Tenshi C. A1 - Kubica, Tommy A1 - Stumpf, Sarah ED - Lucke, Ulrike ED - Strickroth, Sven T1 - E-Learning Symposium 2018 BT - Innovation und Nachhaltigkeit – (k)ein Gegensatz?! N2 - In den vergangenen Jahren sind viele E-Learning-Innovationen entstanden. Einige davon wurden auf den vergangenen E-Learning Symposien der Universität Potsdam präsentiert: Das erste E-Learning Symposium im Jahr 2012 konzentrierte sich auf unterschiedliche Möglichkeiten der Studierendenaktivierung und Lehrgestaltung. Das Symposium 2014 rückte vor allem die Studierenden ins Zentrum der Aufmerksamkeit. Im Jahr 2016 kam es durch das Zusammengehen des Symposiums mit der DeLFI-Tagung zu einer Fokussierung auf technische Innovationen. Doch was ist aus den Leuchttürmen von gestern geworden, und brauchen wir überhaupt noch neue Leuchttürme? Das Symposium setzt sich in diesem Jahr unter dem Motto „Innovation und Nachhaltigkeit – (k)ein Gegensatz?“ mit mediengestützten Lehr- und Lernprozessen im universitären Kontext auseinander und reflektiert aktuelle technische sowie didaktische Entwicklungen mit Blick auf deren mittel- bis langfristigen Einsatz in der Praxis. Dieser Tagungsband zum E-Learning Symposium 2018 an der Universität Potsdam beinhaltet eine Mischung von Forschungs- und Praxisbeiträgen aus verschiedenen Fachdisziplinen und eröffnet vielschichtige Perspektiven auf das Thema E-Learning. Dabei werden die Vielfalt der didaktischen Einsatzszenarien als auch die Potentiale von Werk-zeugen und Methoden der Informatik in ihrem Zusammenspiel beleuchtet. In seiner Keynote widmet sich Reinhard Keil dem Motto des Symposiums und geht der Nachhaltigkeit bei E-Learning-Projekten auf den Grund. Dabei analysiert und beleuchtet er anhand seiner über 15-jährigen Forschungspraxis die wichtigsten Wirkfaktoren und formuliert Empfehlungen zur Konzeption von E-Learning-Projekten. Im Gegensatz zu rein auf Kostenersparnis ausgerichteten (hochschul-)politischen Forderungen proklamiert er den Ansatz der hypothesengeleiteten Technikgestaltung, in der Nachhaltigkeit als Leitfrage oder Forschungsstrategie verstanden werden kann. In eine ähnliche Richtung geht der Beitrag von Iris Braun et al., die über Erfolgsfaktoren beim Einsatz von Audience Response Systemen in der universitären Lehre berichten. Ein weiteres aktuelles Thema, sowohl für die Bildungstechnologie als auch in den Bildungswissenschaften allgemein, ist die Kompetenzorientierung und –modellierung. Hier geht es darum (Problemlöse-)Fähigkeiten gezielt zu beschreiben und in den Mittelpunkt der Lehre zu stellen. Johannes Konert stellt in einem eingeladenen Vortrag zwei Projekte vor, die den Prozess beginnend bei der Definition von Kompetenzen, deren Modellierung in einem semantischen maschinenlesbaren Format bis hin zur Erarbeitung von Methoden zur Kompetenzmessung und der elektronischen Zertifizierung aufzeigen. Dabei geht er auf technische Möglichkeiten, aber auch Grenzen ein. Auf einer spezifischeren Ebene beschäftigt sich Sarah Stumpf mit digitalen bzw. mediendidaktischen Kompetenzen im Lehramtsstudium und stellt ein Framework für die Förderung ebensolcher Kompetenzen bei angehenden Lehrkräften vor. Der Einsatz von E-Learning birgt noch einige Herausforderungen. Dabei geht es oft um die Verbindung von Didaktik und Technik, den Erhalt von Aufmerksamkeit oder den Aufwand für das Erstellen von interaktiven Lehr- und Lerninhalten. Drei Beiträge in diesem Tagungsband beschäftigen sich mit dieser Thematik in unterschiedlichen Kontexten und zeigen Best-Practices und Lösungsansätze auf: Der Beitrag von Martina Wahl und Michael Hölscher behandelt den besonderen Kontext von Blended Learning-Szenarien in berufsbegleitenden Studiengängen. Um die Veröffentlichung eines global frei verfügbaren Onlinekurses abseits der großen MOOC Plattformen und den didaktischen Herausforderungen auch hinsichtlich der Motivation geht es im Beitrag von Ennio Marani und Isabel Jaisli. Schließlich schlagen Gregor Damnik et al. die automatische Erzeugung von Aufgaben zur Erhöhung von Interaktivität und Adaptivität in digitalen Lernressourcen vor, um den teilweise erheblichen Erstellungsaufwand zu reduzieren. Zum Thema E-Learning zählen auch immer mobile Apps bzw. Spiele. Gleich zwei Beiträge beschäftigen sich mit dem Einsatz von E-Learning-Tools im Gesundheitskontext: Anna Tscherejkina und Anna Morgiel stellen in ihrem Beitrag Minispiele zum Training von sozio-emotionalen Kompetenzen für Menschen mit Autismus vor, und Stephanie Herbstreit et al. berichten vom Einsatz einer mobilen Lern-App zur Verbesserung von klinisch-praktischem Unterricht. KW - E-Learning KW - Onlinelehre KW - Game-based learning KW - Mobiles Lernen Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-420711 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - CHAP A1 - Seegerer, Stefan A1 - Romeike, Ralf A1 - Tillmann, Alexander A1 - Krömker, Detlef A1 - Horn, Florian A1 - Gattinger, Thorsten A1 - Weicker, Karsten A1 - Schmitz, Dennis A1 - Moldt, Daniel A1 - Röpke, René A1 - Larisch, Kathrin A1 - Schroeder, Ulrik A1 - Keverpütz, Claudia A1 - Küppers, Bastian A1 - Striewe, Michael A1 - Kramer, Matthias A1 - Grillenberger, Andreas A1 - Frede, Christiane A1 - Knobelsdorf, Maria A1 - Greven, Christoph ED - Bergner, Nadine ED - Röpke, René ED - Schroeder, Ulrik ED - Krömker, Detlef T1 - Hochschuldidaktik der Informatik HDI 2018 BT - 8. Fachtagung des GI-Fachbereichs Informatik und Ausbildung/Didaktik der Informatik ; 12.-13. September 2018 an der Goethe-Universität Frankfurt am Main T2 - Commentarii informaticae didacticae (CID) N2 - Die 8. Fachtagung für Hochschuldidaktik der Informatik (HDI) fand im September 2018 zusammen mit der Deutschen E-Learning Fachtagung Informatik (DeLFI) unter dem gemeinsamen Motto „Digitalisierungswahnsinn? - Wege der Bildungstransformationen“ in Frankfurt statt. Dabei widmet sich die HDI allen Fragen der informatischen Bildung im Hochschulbereich. Schwerpunkte bildeten in diesem Jahr u. a.: - Analyse der Inhalte und anzustrebenden Kompetenzen in Informatikveranstaltungen - Programmieren lernen & Einstieg in Softwareentwicklung - Spezialthemen: Data Science, Theoretische Informatik und Wissenschaftliches Arbeiten Die Fachtagung widmet sich ausgewählten Fragestellungen dieser Themenkomplexe, die durch Vorträge ausgewiesener Experten und durch eingereichte Beiträge intensiv behandelt werden. T3 - Commentarii informaticae didacticae (CID) - 12 Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-413542 SN - 978-3-86956-435-7 SN - 1868-0844 SN - 2191-1940 IS - 12 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Li, Yuanqing A1 - Chen, Li A1 - Nofal, Issam A1 - Chen, Mo A1 - Wang, Haibin A1 - Liu, Rui A1 - Chen, Qingyu A1 - Krstić, Miloš A1 - Shi, Shuting A1 - Guo, Gang A1 - Baeg, Sang H. A1 - Wen, Shi-Jie A1 - Wong, Richard T1 - Modeling and analysis of single-event transient sensitivity of a 65 nm clock tree JF - Microelectronics reliability N2 - The soft error rate (SER) due to heavy-ion irradiation of a clock tree is investigated in this paper. A method for clock tree SER prediction is developed, which employs a dedicated soft error analysis tool to characterize the single-event transient (SET) sensitivities of clock inverters and other commercial tools to calculate the SER through fault-injection simulations. A test circuit including a flip-flop chain and clock tree in a 65 nm CMOS technology is developed through the automatic ASIC design flow. This circuit is analyzed with the developed method to calculate its clock tree SER. In addition, this circuit is implemented in a 65 nm test chip and irradiated by heavy ions to measure its SER resulting from the SETs in the clock tree. The experimental and calculation results of this case study present good correlation, which verifies the effectiveness of the developed method. KW - Clock tree KW - Modeling KW - Single-event transient (SET) Y1 - 2018 U6 - https://doi.org/10.1016/j.microrel.2018.05.016 SN - 0026-2714 VL - 87 SP - 24 EP - 32 PB - Elsevier CY - Oxford ER - TY - GEN A1 - Krstić, Miloš A1 - Jentzsch, Anne-Kristin T1 - Reliability, safety and security of the electronics in automated driving vehicles - joint lab lecturing approach T2 - 2018 12TH European Workshop on Microelectronics Education (EWME) N2 - This paper proposes an education approach for master and bachelor students to enhance their skills in the area of reliability, safety and security of the electronic components in automated driving. The approach is based on the active synergetic work of research institutes, academia and industry in the frame of joint lab. As an example, the jointly organized summer school with the respective focus is organized and elaborated. KW - reliability KW - safety KW - security KW - automated driving KW - joint lab Y1 - 2018 SN - 978-1-5386-1157-9 SP - 21 EP - 22 PB - IEEE CY - New York ER - TY - GEN A1 - Bosser, Anne-Gwenn A1 - Cabalar, Pedro A1 - Dieguez, Martin A1 - Schaub, Torsten H. T1 - Introducing temporal stable models for linear dynamic logic T2 - 16th International Conference on Principles of Knowledge Representation and Reasoning N2 - We propose a new temporal extension of the logic of Here-and-There (HT) and its equilibria obtained by combining it with dynamic logic over (linear) traces. Unlike previous temporal extensions of HT based on linear temporal logic, the dynamic logic features allow us to reason about the composition of actions. For instance, this can be used to exercise fine grained control when planning in robotics, as exemplified by GOLOG. In this paper, we lay the foundations of our approach, and refer to it as Linear Dynamic Equilibrium Logic, or simply DEL. We start by developing the formal framework of DEL and provide relevant characteristic results. Among them, we elaborate upon the relationships to traditional linear dynamic logic and previous temporal extensions of HT. Y1 - 2018 UR - https://www.dc.fi.udc.es/~cabalar/del.pdf SP - 12 EP - 21 PB - ASSOC Association for the Advancement of Artificial Intelligence CY - Palo Alto ER - TY - JOUR A1 - Prasse, Paul A1 - Knaebel, Rene A1 - Machlica, Lukas A1 - Pevny, Tomas A1 - Scheffer, Tobias T1 - Joint detection of malicious domains and infected clients JF - Machine learning N2 - Detection of malware-infected computers and detection of malicious web domains based on their encrypted HTTPS traffic are challenging problems, because only addresses, timestamps, and data volumes are observable. The detection problems are coupled, because infected clients tend to interact with malicious domains. Traffic data can be collected at a large scale, and antivirus tools can be used to identify infected clients in retrospect. Domains, by contrast, have to be labeled individually after forensic analysis. We explore transfer learning based on sluice networks; this allows the detection models to bootstrap each other. In a large-scale experimental study, we find that the model outperforms known reference models and detects previously unknown malware, previously unknown malware families, and previously unknown malicious domains. KW - Machine learning KW - Neural networks KW - Computer security KW - Traffic data KW - Https traffic Y1 - 2019 U6 - https://doi.org/10.1007/s10994-019-05789-z SN - 0885-6125 SN - 1573-0565 VL - 108 IS - 8-9 SP - 1353 EP - 1368 PB - Springer CY - Dordrecht ER - TY - THES A1 - Abdelwahab Hussein Abdelwahab Elsayed, Ahmed T1 - Probabilistic, deep, and metric learning for biometric identification from eye movements N2 - A central insight from psychological studies on human eye movements is that eye movement patterns are highly individually characteristic. They can, therefore, be used as a biometric feature, that is, subjects can be identified based on their eye movements. This thesis introduces new machine learning methods to identify subjects based on their eye movements while viewing arbitrary content. The thesis focuses on probabilistic modeling of the problem, which has yielded the best results in the most recent literature. The thesis studies the problem in three phases by proposing a purely probabilistic, probabilistic deep learning, and probabilistic deep metric learning approach. In the first phase, the thesis studies models that rely on psychological concepts about eye movements. Recent literature illustrates that individual-specific distributions of gaze patterns can be used to accurately identify individuals. In these studies, models were based on a simple parametric family of distributions. Such simple parametric models can be robustly estimated from sparse data, but have limited flexibility to capture the differences between individuals. Therefore, this thesis proposes a semiparametric model of gaze patterns that is flexible yet robust for individual identification. These patterns can be understood as domain knowledge derived from psychological literature. Fixations and saccades are examples of simple gaze patterns. The proposed semiparametric densities are drawn under a Gaussian process prior centered at a simple parametric distribution. Thus, the model will stay close to the parametric class of densities if little data is available, but it can also deviate from this class if enough data is available, increasing the flexibility of the model. The proposed method is evaluated on a large-scale dataset, showing significant improvements over the state-of-the-art. Later, the thesis replaces the model based on gaze patterns derived from psychological concepts with a deep neural network that can learn more informative and complex patterns from raw eye movement data. As previous work has shown that the distribution of these patterns across a sequence is informative, a novel statistical aggregation layer called the quantile layer is introduced. It explicitly fits the distribution of deep patterns learned directly from the raw eye movement data. The proposed deep learning approach is end-to-end learnable, such that the deep model learns to extract informative, short local patterns while the quantile layer learns to approximate the distributions of these patterns. Quantile layers are a generic approach that can converge to standard pooling layers or have a more detailed description of the features being pooled, depending on the problem. The proposed model is evaluated in a large-scale study using the eye movements of subjects viewing arbitrary visual input. The model improves upon the standard pooling layers and other statistical aggregation layers proposed in the literature. It also improves upon the state-of-the-art eye movement biometrics by a wide margin. Finally, for the model to identify any subject — not just the set of subjects it is trained on — a metric learning approach is developed. Metric learning learns a distance function over instances. The metric learning model maps the instances into a metric space, where sequences of the same individual are close, and sequences of different individuals are further apart. This thesis introduces a deep metric learning approach with distributional embeddings. The approach represents sequences as a set of continuous distributions in a metric space; to achieve this, a new loss function based on Wasserstein distances is introduced. The proposed method is evaluated on multiple domains besides eye movement biometrics. This approach outperforms the state of the art in deep metric learning in several domains while also outperforming the state of the art in eye movement biometrics. N2 - Die Art und Weise, wie wir unsere Augen bewegen, ist individuell charakteristisch. Augenbewegungen können daher zur biometrischen Identifikation verwendet werden. Die Dissertation stellt neuartige Methoden des maschinellen Lernens zur Identifzierung von Probanden anhand ihrer Blickbewegungen während des Betrachtens beliebiger visueller Inhalte vor. Die Arbeit konzentriert sich auf die probabilistische Modellierung des Problems, da dies die besten Ergebnisse in der aktuellsten Literatur liefert. Die Arbeit untersucht das Problem in drei Phasen. In der ersten Phase stützt sich die Arbeit bei der Entwicklung eines probabilistischen Modells auf Wissen über Blickbewegungen aus der psychologischen Literatur. Existierende Studien haben gezeigt, dass die individuelle Verteilung von Blickbewegungsmustern verwendet werden kann, um Individuen genau zu identifizieren. Existierende probabilistische Modelle verwenden feste Verteilungsfamilien in Form von parametrischen Modellen, um diese Verteilungen zu approximieren. Die Verwendung solcher einfacher Verteilungsfamilien hat den Vorteil, dass sie robuste Verteilungsschätzungen auch auf kleinen Mengen von Beobachtungen ermöglicht. Ihre Flexibilität, Unterschiede zwischen Personen zu erfassen, ist jedoch begrenzt. Die Arbeit schlägt daher eine semiparametrische Modellierung der Blickmuster vor, die flexibel und dennoch robust individuelle Verteilungen von Blickbewegungsmustern schätzen kann. Die modellierten Blickmuster können als Domänenwissen verstanden werden, das aus der psychologischen Literatur abgeleitet ist. Beispielsweise werden Verteilungen über Fixationsdauern und Sprungweiten (Sakkaden) bei bestimmten Vor- und Rücksprüngen innerhalb des Textes modelliert. Das semiparametrische Modell bleibt nahe des parametrischen Modells, wenn nur wenige Daten verfügbar sind, kann jedoch auch vom parametrischen Modell abweichen, wenn genügend Daten verfügbar sind, wodurch die Flexibilität erhöht wird. Die Methode wird auf einem großen Datenbestand evaluiert und zeigt eine signifikante Verbesserung gegenüber dem Stand der Technik der Forschung zur biometrischen Identifikation aus Blickbewegungen. Später ersetzt die Dissertation die zuvor untersuchten aus der psychologischen Literatur abgeleiteten Blickmuster durch ein auf tiefen neuronalen Netzen basierendes Modell, das aus den Rohdaten der Augenbewegungen informativere komplexe Muster lernen kann. Tiefe neuronale Netze sind eine Technik des maschinellen Lernens, bei der in komplexen, mehrschichtigen Modellen schrittweise abstraktere Merkmale aus Rohdaten extrahiert werden. Da frühere Arbeiten gezeigt haben, dass die Verteilung von Blickbewegungsmustern innerhalb einer Blickbewegungssequenz informativ ist, wird eine neue Aggrgationsschicht für tiefe neuronale Netze eingeführt, die explizit die Verteilung der gelernten Muster schätzt. Die vorgeschlagene Aggregationsschicht für tiefe neuronale Netze ist nicht auf die Modellierung von Blickbewegungen beschränkt, sondern kann als Verallgemeinerung von existierenden einfacheren Aggregationsschichten in beliebigen Anwendungen eingesetzt werden. Das vorgeschlagene Modell wird in einer umfangreichen Studie unter Verwendung von Augenbewegungen von Probanden evaluiert, die Videomaterial unterschiedlichen Inhalts und unterschiedlicher Länge betrachten. Das Modell verbessert die Identifikationsgenauigkeit im Vergleich zu tiefen neuronalen Netzen mit Standardaggregationsschichten und existierenden probabilistischen Modellen zur Identifikation aus Blickbewegungen. Damit das Modell zum Anwendungszeitpunkt beliebige Probanden identifizieren kann, und nicht nur diejenigen Probanden, mit deren Daten es trainiert wurde, wird ein metrischer Lernansatz entwickelt. Beim metrischen Lernen lernt das Modell eine Funktion, mit der die Ähnlichkeit zwischen Blickbewegungssequenzen geschätzt werden kann. Das metrische Lernen bildet die Instanzen in einen neuen Raum ab, in dem Sequenzen desselben Individuums nahe beieinander liegen und Sequenzen verschiedener Individuen weiter voneinander entfernt sind. Die Dissertation stellt einen neuen metrischen Lernansatz auf Basis tiefer neuronaler Netze vor. Der Ansatz repäsentiert eine Sequenz in einem metrischen Raum durch eine Menge von Verteilungen. Das vorgeschlagene Verfahren ist nicht spezifisch für die Blickbewegungsmodellierung, und wird in unterschiedlichen Anwendungsproblemen empirisch evaluiert. Das Verfahren führt zu genaueren Modellen im Vergleich zu existierenden metrischen Lernverfahren und existierenden Modellen zur Identifikation aus Blickbewegungen. KW - probabilistic deep metric learning KW - probabilistic deep learning KW - biometrics KW - eye movements KW - biometrische Identifikation KW - Augenbewegungen KW - probabilistische tiefe neuronale Netze KW - probabilistisches tiefes metrisches Lernen Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-467980 ER - TY - GEN A1 - Strickroth, Sven T1 - PLATON BT - Developing a Graphical Lesson Planning System for Prospective Teachers T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Lesson planning is both an important and demanding task—especially as part of teacher training. This paper presents the requirements for a lesson planning system and evaluates existing systems regarding these requirements. One major drawback of existing software tools is that most are limited to a text- or form-based representation of the lesson designs. In this article, a new approach with a graphical, time-based representation with (automatic) analyses methods is proposed and the system architecture and domain model are described in detail. The approach is implemented in an interactive, web-based prototype called PLATON, which additionally supports the management of lessons in units as well as the modelling of teacher and student-generated resources. The prototype was evaluated in a study with 61 prospective teachers (bachelor’s and master’s preservice teachers as well as teacher trainees in post-university teacher training) in Berlin, Germany, with a focus on usability. The results show that this approach proofed usable for lesson planning and offers positive effects for the perception of time and self-reflection. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 804 KW - lesson planning KW - lesson preparation KW - support system KW - automatic feedback Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-441887 SN - 1866-8372 IS - 804 ER - TY - JOUR A1 - Metref, Sammy A1 - Cosme, Emmanuel A1 - Le Sommer, Julien A1 - Poel, Nora A1 - Brankart, Jean-Michel A1 - Verron, Jacques A1 - Gomez Navarro, Laura T1 - Reduction of spatially structured errors in Wide-Swath altimetric satellite data using data assimilation JF - Remote sensing N2 - The Surface Water and Ocean Topography (SWOT) mission is a next generation satellite mission expected to provide a 2 km-resolution observation of the sea surface height (SSH) on a two-dimensional swath. Processing SWOT data will be challenging because of the large amount of data, the mismatch between a high spatial resolution and a low temporal resolution, and the observation errors. The present paper focuses on the reduction of the spatially structured errors of SWOT SSH data. It investigates a new error reduction method and assesses its performance in an observing system simulation experiment. The proposed error-reduction method first projects the SWOT SSH onto a subspace spanned by the SWOT spatially structured errors. This projection is removed from the SWOT SSH to obtain a detrended SSH. The detrended SSH is then processed within an ensemble data assimilation analysis to retrieve a full SSH field. In the latter step, the detrending is applied to both the SWOT data and an ensemble of model-simulated SSH fields. Numerical experiments are performed with synthetic SWOT observations and an ensemble from a North Atlantic, 1/60 degrees simulation of the ocean circulation (NATL60). The data assimilation analysis is carried out with an ensemble Kalman filter. The results are assessed with root mean square errors, power spectrum density, and spatial coherence. They show that a significant part of the large scale SWOT errors is reduced. The filter analysis also reduces the small scale errors and allows for an accurate recovery of the energy of the signal down to 25 km scales. In addition, using the SWOT nadir data to adjust the SSH detrending further reduces the errors. KW - SWOT KW - correlated errors KW - OSSE KW - projection KW - detrending KW - ensemble kalman filter Y1 - 2019 U6 - https://doi.org/10.3390/rs11111336 SN - 2072-4292 VL - 11 IS - 11 PB - MDPI CY - Basel ER - TY - JOUR A1 - Dimopoulos, Yannis A1 - Gebser, Martin A1 - Lühne, Patrick A1 - Romero Davila, Javier A1 - Schaub, Torsten H. T1 - plasp 3 BT - Towards Effective ASP Planning JF - Theory and practice of logic programming N2 - We describe the new version of the Planning Domain Definition Language (PDDL)-to-Answer Set Programming (ASP) translator plasp. First, it widens the range of accepted PDDL features. Second, it contains novel planning encodings, some inspired by Satisfiability Testing (SAT) planning and others exploiting ASP features such as well-foundedness. All of them are designed for handling multivalued fluents in order to capture both PDDL as well as SAS planning formats. Third, enabled by multishot ASP solving, it offers advanced planning algorithms also borrowed from SAT planning. As a result, plasp provides us with an ASP-based framework for studying a variety of planning techniques in a uniform setting. Finally, we demonstrate in an empirical analysis that these techniques have a significant impact on the performance of ASP planning. KW - knowledge representation and nonmonotonic reasoning KW - technical notes and rapid communications KW - answer set programming KW - automated planning KW - action and change Y1 - 2019 U6 - https://doi.org/10.1017/S1471068418000583 SN - 1471-0684 SN - 1475-3081 VL - 19 IS - 3 SP - 477 EP - 504 PB - Cambridge Univ. Press CY - New York ER - TY - GEN A1 - Przybylla, Mareen T1 - Interactive objects in physical computing and their role in the learning process T2 - Constructivist foundations N2 - The target article discusses the question of how educational makerspaces can become places supportive of knowledge construction. This question is too often neglected by people who run makerspaces, as they mostly explain how to use different tools and focus on the creation of a product. In makerspaces, often pupils also engage in physical computing activities and thus in the creation of interactive artifacts containing embedded systems, such as smart shoes or wristbands, plant monitoring systems or drink mixing machines. This offers the opportunity to reflect on teaching physical computing in computer science education, where similarly often the creation of the product is so strongly focused upon that the reflection of the learning process is pushed into the background. Y1 - 2019 SN - 1782-348X VL - 14 IS - 3 SP - 264 EP - 266 PB - Vrije Univ. CY - Bussels ER - TY - JOUR A1 - Pousttchi, Key A1 - Gleiß, Alexander T1 - Surrounded by middlemen - how multi-sided platforms change the insurance industry JF - Electron Markets N2 - Multi-sided platforms (MSP) strongly affect markets and play a crucial part within the digital and networked economy. Although empirical evidence indicates their occurrence in many industries, research has not investigated the game-changing impact of MSP on traditional markets to a sufficient extent. More specifically, we have little knowledge of how MSP affect value creation and customer interaction in entire markets, exploiting the potential of digital technologies to offer new value propositions. Our paper addresses this research gap and provides an initial systematic approach to analyze the impact of MSP on the insurance industry. For this purpose, we analyze the state of the art in research and practice in order to develop a reference model of the value network for the insurance industry. On this basis, we conduct a case-study analysis to discover and analyze roles which are occupied or even newly created by MSP. As a final step, we categorize MSP with regard to their relation to traditional insurance companies, resulting in a classification scheme with four MSP standard types: Competition, Coordination, Cooperation, Collaboration. KW - Multi-sided platforms KW - Insurance industry KW - Value network KW - Digitalization KW - Customer ownership Y1 - 2019 U6 - https://doi.org/10.1007/s12525-019-00363-w SN - 1019-6781 SN - 1422-8890 VL - 29 IS - 4 SP - 609 EP - 629 PB - Springer CY - Heidelberg ER - TY - JOUR A1 - Waitelonis, Jörg A1 - Jürges, Henrik A1 - Sack, Harald T1 - Remixing entity linking evaluation datasets for focused benchmarking JF - Semantic Web N2 - In recent years, named entity linking (NEL) tools were primarily developed in terms of a general approach, whereas today numerous tools are focusing on specific domains such as e.g. the mapping of persons and organizations only, or the annotation of locations or events in microposts. However, the available benchmark datasets necessary for the evaluation of NEL tools do not reflect this focalizing trend. We have analyzed the evaluation process applied in the NEL benchmarking framework GERBIL [in: Proceedings of the 24th International Conference on World Wide Web (WWW’15), International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, 2015, pp. 1133–1143, Semantic Web 9(5) (2018), 605–625] and all its benchmark datasets. Based on these insights we have extended the GERBIL framework to enable a more fine grained evaluation and in depth analysis of the available benchmark datasets with respect to different emphases. This paper presents the implementation of an adaptive filter for arbitrary entities and customized benchmark creation as well as the automated determination of typical NEL benchmark dataset properties, such as the extent of content-related ambiguity and diversity. These properties are integrated on different levels, which also enables to tailor customized new datasets out of the existing ones by remixing documents based on desired emphases. Besides a new system library to enrich provided NIF [in: International Semantic Web Conference (ISWC’13), Lecture Notes in Computer Science, Vol. 8219, Springer, Berlin, Heidelberg, 2013, pp. 98–113] datasets with statistical information, best practices for dataset remixing are presented, and an in depth analysis of the performance of entity linking systems on special focus datasets is presented. KW - Entity Linking KW - GERBIL KW - evaluation KW - benchmark Y1 - 2019 U6 - https://doi.org/10.3233/SW-180334 SN - 1570-0844 SN - 2210-4968 VL - 10 IS - 2 SP - 385 EP - 412 PB - IOS Press CY - Amsterdam ER - TY - JOUR A1 - Frioux, Clémence A1 - Schaub, Torsten H. A1 - Schellhorn, Sebastian A1 - Siegel, Anne A1 - Wanko, Philipp T1 - Hybrid metabolic network completion JF - Theory and practice of logic programming N2 - Metabolic networks play a crucial role in biology since they capture all chemical reactions in an organism. While there are networks of high quality for many model organisms, networks for less studied organisms are often of poor quality and suffer from incompleteness. To this end, we introduced in previous work an answer set programming (ASP)-based approach to metabolic network completion. Although this qualitative approach allows for restoring moderately degraded networks, it fails to restore highly degraded ones. This is because it ignores quantitative constraints capturing reaction rates. To address this problem, we propose a hybrid approach to metabolic network completion that integrates our qualitative ASP approach with quantitative means for capturing reaction rates. We begin by formally reconciling existing stoichiometric and topological approaches to network completion in a unified formalism. With it, we develop a hybrid ASP encoding and rely upon the theory reasoning capacities of the ASP system dingo for solving the resulting logic program with linear constraints over reals. We empirically evaluate our approach by means of the metabolic network of Escherichia coli. Our analysis shows that our novel approach yields greatly superior results than obtainable from purely qualitative or quantitative approaches. KW - answer set programming KW - metabolic network KW - gap-filling KW - linear programming KW - hybrid solving KW - bioinformatics Y1 - 2018 U6 - https://doi.org/10.1017/S1471068418000455 SN - 1471-0684 SN - 1475-3081 VL - 19 IS - 1 SP - 83 EP - 108 PB - Cambridge University Press CY - New York ER - TY - GEN A1 - Fichte, Johannes Klaus A1 - Hecher, Markus A1 - Meier, Arne T1 - Counting Complexity for Reasoning in Abstract Argumentation T2 - The Thirty-Third AAAI Conference on Artificial Intelligence, the Thirty-First Innovative Applications of Artificial Intelligence Conference, the Ninth AAAI Symposium on Educational Advances in Artificial Intelligence N2 - In this paper, we consider counting and projected model counting of extensions in abstract argumentation for various semantics. When asking for projected counts we are interested in counting the number of extensions of a given argumentation framework while multiple extensions that are identical when restricted to the projected arguments count as only one projected extension. We establish classical complexity results and parameterized complexity results when the problems are parameterized by treewidth of the undirected argumentation graph. To obtain upper bounds for counting projected extensions, we introduce novel algorithms that exploit small treewidth of the undirected argumentation graph of the input instance by dynamic programming (DP). Our algorithms run in time double or triple exponential in the treewidth depending on the considered semantics. Finally, we take the exponential time hypothesis (ETH) into account and establish lower bounds of bounded treewidth algorithms for counting extensions and projected extension. Y1 - 2019 SN - 978-1-57735-809-1 SP - 2827 EP - 2834 PB - AAAI Press CY - Palo Alto ER - TY - THES A1 - Schneider, Jan Niklas T1 - Computational approaches for emotion research T1 - Computergestützte Methoden für die Emotionsforschung N2 - Emotionen sind ein zentrales Element menschlichen Erlebens und spielen eine wichtige Rolle bei der Entscheidungsfindung. Diese Dissertation identifiziert drei methodische Probleme der aktuellen Emotionsforschung und zeigt auf, wie diese mittels computergestützter Methoden gelöst werden können. Dieser Ansatz wird in drei Forschungsprojekten demonstriert, die die Entwicklung solcher Methoden sowie deren Anwendung auf konkrete Forschungsfragen beschreiben. Das erste Projekt beschreibt ein Paradigma welches es ermöglicht, die subjektive und objektive Schwierigkeit der Emotionswahrnehmung zu messen. Darüber hinaus ermöglicht es die Verwendung einer beliebigen Anzahl von Emotionskategorien im Vergleich zu den üblichen sechs Kategorien der Basisemotionen. Die Ergebnisse deuten auf eine Zunahme der Schwierigkeiten bei der Wahrnehmung von Emotionen mit zunehmendem Alter der Darsteller hin und liefern Hinweise darauf, dass junge Erwachsene, ältere Menschen und Männer ihre Schwierigkeit bei der Wahrnehmung von Emotionen unterschätzen. Weitere Analysen zeigten eine geringe Relevanz personenbezogener Variablen und deuteten darauf hin, dass die Schwierigkeit der Emotionswahrnehmung vornehmlich durch die Ausprägung der Wertigkeit des Ausdrucks bestimmt wird. Das zweite Projekt zeigt am Beispiel von Arousal, einem etablierten, aber vagen Konstrukt der Emotionsforschung, wie Face-Tracking-Daten dazu genutzt werden können solche Konstrukte zu schärfen. Es beschreibt, wie aus Face-Tracking-Daten Maße für die Entfernung, Geschwindigkeit und Beschleunigung von Gesichtsausdrücken berechnet werden können. Das Projekt untersuchte wie diesen Maße mit der Arousal-Wahrnehmung in Menschen mit und ohne Autismus zusammenhängen. Der Abstand zum Neutralgesicht war prädiktiv für die Arousal-Bewertungen in beiden Gruppen. Die Ergebnisse deuten auf eine qualitativ ähnliche Wahrnehmung von Arousal für Menschen mit und ohne Autismus hin. Im dritten Projekt stellen wir die Partial-Least-Squares-Analyse als allgemeine Methode vor, um eine optimale Repräsentation zur Verknüpfung zweier hochdimensionale Datensätze zu finden. Das Projekt demonstriert die Anwendbarkeit dieser Methode in der Emotionsforschung anhand der Frage nach Unterschieden in der Emotionswahrnehmung zwischen Männern und Frauen. Wir konnten zeigen, dass die emotionale Wahrnehmung von Frauen systematisch mehr Varianz der Gesichtsausdrücke erfasst und dass signifikante Unterschiede in der Art und Weise bestehen, wie Frauen und Männer einige Gesichtsausdrücke wahrnehmen. Diese konnten wir als dynamische Gesichtsausdrücke visualisieren. Um die Anwendung der entwickelten Methode für die Forschungsgemeinschaft zu erleichtern, wurde ein Software-Paket für die Statistikumgebung R geschrieben. Zudem wurde eine Website entwickelt (thisemotiondoesnotexist.com), die es Besuchern erlaubt, ein Partial-Least-Squares-Modell von Emotionsbewertungen und Face-Tracking-Daten interaktiv zu erkunden, um die entwickelte Methode zu verbreiten und ihren Nutzen für die Emotionsforschung zu illustrieren. N2 - Emotions are a central element of human experience. They occur with high frequency in everyday life and play an important role in decision making. However, currently there is no consensus among researchers on what constitutes an emotion and on how emotions should be investigated. This dissertation identifies three problems of current emotion research: the problem of ground truth, the problem of incomplete constructs and the problem of optimal representation. I argue for a focus on the detailed measurement of emotion manifestations with computer-aided methods to solve these problems. This approach is demonstrated in three research projects, which describe the development of methods specific to these problems as well as their application to concrete research questions. The problem of ground truth describes the practice to presuppose a certain structure of emotions as the a priori ground truth. This determines the range of emotion descriptions and sets a standard for the correct assignment of these descriptions. The first project illustrates how this problem can be circumvented with a multidimensional emotion perception paradigm which stands in contrast to the emotion recognition paradigm typically employed in emotion research. This paradigm allows to calculate an objective difficulty measure and to collect subjective difficulty ratings for the perception of emotional stimuli. Moreover, it enables the use of an arbitrary number of emotion stimuli categories as compared to the commonly used six basic emotion categories. Accordingly, we collected data from 441 participants using dynamic facial expression stimuli from 40 emotion categories. Our findings suggest an increase in emotion perception difficulty with increasing actor age and provide evidence to suggest that young adults, the elderly and men underestimate their emotion perception difficulty. While these effects were predicted from the literature, we also found unexpected and novel results. In particular, the increased difficulty on the objective difficulty measure for female actors and observers stood in contrast to reported findings. Exploratory analyses revealed low relevance of person-specific variables for the prediction of emotion perception difficulty, but highlighted the importance of a general pleasure dimension for the ease of emotion perception. The second project targets the problem of incomplete constructs which relates to vaguely defined psychological constructs on emotion with insufficient ties to tangible manifestations. The project exemplifies how a modern data collection method such as face tracking data can be used to sharpen these constructs on the example of arousal, a long-standing but fuzzy construct in emotion research. It describes how measures of distance, speed and magnitude of acceleration can be computed from face tracking data and investigates their intercorrelations. We find moderate to strong correlations among all measures of static information on one hand and all measures of dynamic information on the other. The project then investigates how self-rated arousal is tied to these measures in 401 neurotypical individuals and 19 individuals with autism. Distance to the neutral face was predictive of arousal ratings in both groups. Lower mean arousal ratings were found for the autistic group, but no difference in correlation of the measures and arousal ratings could be found between groups. Results were replicated in a high autistic traits group consisting of 41 participants. The findings suggest a qualitatively similar perception of arousal for individuals with and without autism. No correlations between valence ratings and any of the measures could be found which emphasizes the specificity of our tested measures for the construct of arousal. The problem of optimal representation refers to the search for the best representation of emotions and the assumption that there is a one-fits-all solution. In the third project we introduce partial least squares analysis as a general method to find an optimal representation to relate two high-dimensional data sets to each other. The project demonstrates its applicability to emotion research on the question of emotion perception differences between men and women. The method was used with emotion rating data from 441 participants and face tracking data computed on 306 videos. We found quantitative as well as qualitative differences in the perception of emotional facial expressions between these groups. We showed that women’s emotional perception systematically captured more of the variance in facial expressions. Additionally, we could show that significant differences exist in the way that women and men perceive some facial expressions which could be visualized as concrete facial expression sequences. These expressions suggest differing perceptions of masked and ambiguous facial expressions between the sexes. In order to facilitate use of the developed method by the research community, a package for the statistical environment R was written. Furthermore, to call attention to the method and its usefulness for emotion research, a website was designed that allows users to explore a model of emotion ratings and facial expression data in an interactive fashion. KW - facial expression KW - emotion KW - perception KW - face tracking KW - perception differences KW - emotion representation KW - Gesichtsausdruck KW - Emotionen KW - Wahrnehmung KW - Wahrnehmungsunterschiede KW - computational methods KW - emotion research KW - computergestützte Methoden KW - Emotionsforschung KW - arousal perception KW - objective difficulty KW - Wahrnehmung von Arousal KW - Objektive Schwierigkeit Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-459275 ER - TY - JOUR A1 - Strickroth, Sven T1 - PLATON BT - Developing a Graphical Lesson Planning System for Prospective Teachers JF - Education Sciences N2 - Lesson planning is both an important and demanding task—especially as part of teacher training. This paper presents the requirements for a lesson planning system and evaluates existing systems regarding these requirements. One major drawback of existing software tools is that most are limited to a text- or form-based representation of the lesson designs. In this article, a new approach with a graphical, time-based representation with (automatic) analyses methods is proposed and the system architecture and domain model are described in detail. The approach is implemented in an interactive, web-based prototype called PLATON, which additionally supports the management of lessons in units as well as the modelling of teacher and student-generated resources. The prototype was evaluated in a study with 61 prospective teachers (bachelor’s and master’s preservice teachers as well as teacher trainees in post-university teacher training) in Berlin, Germany, with a focus on usability. The results show that this approach proofed usable for lesson planning and offers positive effects for the perception of time and self-reflection. KW - lesson planning KW - lesson preparation KW - support system KW - automatic feedback Y1 - 2019 U6 - https://doi.org/10.3390/educsci9040254 SN - 2227-7102 VL - 9 IS - 4 PB - MDPI CY - Basel ER -