Qualitätsmanagement: Eine Aufgabe des Controllings, des Marketings oder des Risikomanagements?

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Computergestützte Management-Informationssysteme: Geschichte – Zukunft – Konsequenzen

Für Geschäftsführer und Manager ist es schon immer wichtig gewesen, gut informiert zu sein und der Stellenwert des Informationsfaktors erhöht sich ständig. Zum einen haben sich die weltweiten Wettbewerbsbedingungen verschärft, was zu einer stark angestiegenen Komplexität führt, und zum anderen droht gerade auf der Topebene ständig eine Informationsüberladung aufgrund der ungeheuren Datenmenge, die Unternehmen heute generieren. Information ist mit das wichtigste Gut eines Managers. Peter Drucker brachte dies sehr gut zum Ausdruck, als er feststellte: "If you can't measure it, you can't manage it". Der rasante Fortschritt der Informationstechnik lässt hoffen, dass der Informationsfaktor zunehmend besser zu handhaben ist. Der Technologieschub der vergangenen Jahre ermöglichte völlig neue Präsentationsformen und einen deutlich besseren Zugriff auf Informationen. Das führte nicht nur zu höherer Qualität sondern vor allem auch Aktualität. Der Durchbruch des Computers auf die Topebene der Unternehmen ist damit geschafft. --

Modeling Software Systems in Experimental Robotics for Improved Reproducibility -- A Case Study with the iCub Humanoid Robot

Lier F, Wachsmuth S, Wrede S. Modeling Software Systems in Experimental Robotics for Improved Reproducibility -- A Case Study with the iCub Humanoid Robot. Presented at the IEEE-RAS International Conference on Humanoid Robots, Madrid, Spain

The Cognitive Interaction Toolkit – Improving Reproducibility of Robotic Systems Experiments (POSTER)

Lier F, Wienke J, Nordmann A, Wachsmuth S, Wrede S. The Cognitive Interaction Toolkit – Improving Reproducibility of Robotic Systems Experiments (POSTER). Presented at the International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), Bergamo, Italy

MHC I Stabilizing Potential of Computer-Designed Octapeptides

Experimental results are presented for 180 in silico designed octapeptide sequences and their stabilizing effects on the major histocompatibility class I molecule H-2Kb. Peptide sequence design was accomplished by a combination of an ant colony optimization algorithm with artificial neural network classifiers. Experimental tests yielded nine H-2Kb stabilizing and 171 nonstabilizing peptides. 28 among the nonstabilizing octapeptides contain canonical motif residues known to be favorable for MHC I stabilization. For characterization of the area covered by stabilizing and non-stabilizing octapeptides in sequence space, we visualized the distribution of 100,603 octapeptides using a self-organizing map. The experimental results present evidence that the canonical sequence motives of the SYFPEITHI database on their own are insufficient for predicting MHC I protein stabilization

Towards automated system and experiment reproduction in robotics

Even though research on autonomous robots and human-robot interaction accomplished great progress in recent years, and reusable soft- and hardware components are available, many of the reported findings are only hardly reproducible by fellow scientists. Usually, reproducibility is impeded because required information, such as the specification of software versions and their configuration, required data sets, and experiment protocols are not mentioned or referenced in most publications. In order to address these issues, we recently introduced an integrated tool chain and its underlying development process to facilitate reproducibility in robotics. In this contribution we instantiate the complete tool chain in a unique user study in order to assess its applicability and usability. To this end, we chose three different robotic systems from independent institutions and modeled them in our tool chain, including three exemplary experiments. Subsequently, we asked twelve researchers to reproduce one of the formerly unknown systems and the associated experiment. We show that all twelve scientists were able to replicate a formerly unknown robotics experiment using our tool chain

Towards Automated System and Experiment Reproduction in Robotics

Lier F, Hanheide M, Natale L, et al. Towards Automated System and Experiment Reproduction in Robotics. In: Burgard W, ed. 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). International Conference on Intelligent Robots and Systems (IROS). Daejeon, Korea: IEEE; 2016.Even though research on autonomous robots and human-robot interaction accomplished great progress in recent years, and reusable soft- and hardware components are available, many of the reported findings are only hardly reproducible by fellow scientists. Usually, reproducibility is impeded because required information, such as the specification of software versions and their configuration, required data sets, and experiment protocols are not mentioned or referenced in most publications. In order to address these issues, we recently introduced an integrated tool chain and its underlying development process to facilitate reproducibility in robotics. In this contribution we instantiate the complete tool chain in a unique user study in order to assess its applicability and usability. To this end, we chose three different robotic systems from independent institutions and modeled them in our tool chain, including three exemplary experiments. Subsequently, we asked twelve researchers to reproduce one of the formerly unknown systems and the associated experiment. We show that all twelve scientists were able to replicate a formerly unknown robotics experiment using our tool chain

Are you talking to me? Improving the robustness of dialogue systems in a multi party HRI scenario by incorporating gaze direction and lip movement of attendees

Richter V, Carlmeyer B, Lier F, et al. Are you talking to me? Improving the robustness of dialogue systems in a multi party HRI scenario by incorporating gaze direction and lip movement of attendees. In: Proceedings of the Fourth International Conference on Human-agent Interaction. Proceedings of the Fourth International Conference on Human-agent Interaction. Singapore: ACM Digital Library; 2016.In this paper we present our humanoid robot “Meka”, partici- pating in a multi party human robot dialogue scenario. Active arbitration of the robot's attention based-on multi-modal stim- uli is utilised to attain persons which are outside of the robots field of view. We investigate the impact of this attention management and an addressee recognition on the robot's capability to distinguish utterances directed at it from communication between humans. Based on the results of a user study, we show that mutual gaze at the end of an utterance, as a means of yielding a turn, is a substantial cue for addressee recognition. Verification of a speaker through the detection of lip movements can be used to further increase precision. Further- more, we show that even a rather simplistic fusion of gaze and lip movement cues allows a considerable enhancement in addressee estimation, and can be altered to adapt to the requirements of a particular scenario

The Cognitive Interaction Toolkit – Improving Reproducibility of Robotic Systems Experiments

Lier F, Wienke J, Nordmann A, Wachsmuth S, Wrede S. The Cognitive Interaction Toolkit – Improving Reproducibility of Robotic Systems Experiments. In: Brugali D, Broenink JF, Kroeger T, MacDonald BA, eds. SIMPAR: International Conference on Simulation, Modeling, and Programming for Autonomous Robots. Lecture Notes in Computer Science . Vol 8810. Cham: Springer; 2014: 400-411.Research on robot systems either integrating a large number of capabilities in a single architecture or displaying outstanding perfor- mance in a single domain achieved considerable progress over the last years. Results are typically validated through experimental evaluation or demonstrated live, e.g., at robotics competitions. While common robot hardware, simulation and programming platforms yield an improved ba- sis, many of the described experiments still cannot be reproduced easily by interested researchers to confirm the reported findings. We consider this a critical challenge for experimental robotics. Hence, we address this problem with a novel process which facilitates the reproduction of robotics experiments. We identify major obstacles to experiment repli- cation and introduce an integrated approach that allows (i) aggregation and discovery of required research artifacts, (ii) automated software build and deployment, as well as (iii) experiment description, repeatable exe- cution and evaluation. We explain the usage of the introduced process along an exemplary robotics experiment and discuss our approach in the context of current ecosystems for robot programming and simulation

IKO – Auf die Plätze, fertig, medienfit!

IKO ist ein Brettspiel für Kinder ab 10 Jahren zur Steigerung der Medienkompetenz. Das Datenpaket enthält Dateien zur Eigenproduktion sowie Anleitungen zur Herstellung des Brettspiels inklusive aller benötigten Spielmaterialien. In den Paketen sind jeweils enthalten: Spielanleitung Cover Spielschachtel Spielplan (incl. Puzzlelinien) Spielkarten 3-D-Elemente Wir freuen uns über Feedback an [email protected]