@article{17236,
  abstract     = {{The behavior for a humanoid robot is often modeled in accordance with human behavior. Current research suggests that analyzing infant behavior as a basis for designing the robot behavior can guide us to a natural robot interface. Based on this idea many researchers support saliency systems as a bottom-up inspired way to simulate infant-like gazing behavior. In the field of saliency systems many different approaches have proposed and quantified in terms of speed, quality and other technical issues. But so far, no one compared and quantified them in terms of natural infant tutor interaction. The question we would like to address in this paper is: Can state-of-the-art saliency systems model infant gazing behavior in tutoring situations? By addressing these issues we want to take a step towards an autonomous robot system, which could be used more natural interaction experiments in future.}},
  author       = {{Narayan, Vikram and Lohan, Katrin Solveig and Tscherepanow, Marko and Rohlfing, Katharina and Wrede, Britta}},
  issn         = {{1662-5188}},
  journal      = {{Frontiers in Computational Neuroscience}},
  keywords     = {{child gazing behavior, computer vision, saliency, development}},
  number       = {{35}},
  publisher    = {{Frontiers Media SA}},
  title        = {{{Can state-of-the-art saliency systems model infant gazing behavior in tutoring situations?}}},
  doi          = {{10.3389/conf.fncom.2011.52.00035}},
  volume       = {{5}},
  year         = {{2011}},
}

@inproceedings{9760,
  abstract     = {{Self-optimizing systems are able to adapt their behavior autonomously according to their current self-determined objectives. Unforeseen influences could lead to dependability-critical behavior of the system. Methods are required which secure self-optimizing systems during operation. These methods to increase the dependability of the system should already be taken into consideration in the design process. This paper presents a guideline for the dependability-oriented design of self-optimizing systems, which integrates established classical methods like failure mode and effects analysis as well as methods based on self-optimization. On the one hand self-optimization is used to increase the dependability of the system by integrating objectives like safety, availability, and reliability to the objectives of the system. On the other hand methods are required to ensure the self-optimization itself. As basis for this guideline serves the principle solution of the system. The six phases of the guideline extend the design process and lead to an enhanced principle solution. Additionally, the guideline illustrates phases to implement and validate the self-optimizing system. The proposed guideline is applied to an innovative rail-bound vehicle, called RailCab, which is equipped with self-optimizing function modules.}},
  author       = {{Sondermann-Wölke, Christoph and Hemsel, Tobias and Sextro, Walter and Gausemeier, Jürgen and Pook, Sebastian}},
  booktitle    = {{Industrial Informatics (INDIN), 2010 8th IEEE International Conference on}},
  keywords     = {{RailCab, dependability-critical behavior, dependability-oriented design, failure mode, rail-bound vehicle, secure self-optimizing systems, self-optimizing function modules, optimisation, railways, self-adjusting systems}},
  pages        = {{739 --744}},
  title        = {{{Guideline for the dependability-oriented design of self-optimizing systems}}},
  doi          = {{10.1109/INDIN.2010.5549490}},
  year         = {{2010}},
}

@inproceedings{9763,
  abstract     = {{Recent advances in information processing enable new kinds of technical systems, called self-optimizing systems. These systems are able to adapt their objectives and their behavior according to the current situation and influences autonomously. This behavior adaptation is non-deterministic and hence self-optimization is a risk to the system, e.g. if the result of the self-optimization process does not match the suddenly changed situation. In contrary, self-optimization could be used to increase the dependability by pursuing objectives like reliability and availability. In our preceding publications we introduced the so called multi-level dependability concept to cope with this new kind of systems (cf. [6]). This concept comprises the monitoring of the system behavior, the classification of the current situation, and the selection of the appropriate measure, if reliability limits are exceeded. In this paper we present for the first time experimental results. The dependability concept is implemented in the self-optimizing active guidance system of a railway vehicle. The test drives illustrate clearly that the proposed concept is able to cope with, e.g., sensor failures, and is able to increase the reliability and availability of the active guidance module.}},
  author       = {{Sondermann-Wölke, Christoph and Geisler, Jens and Sextro, Walter}},
  booktitle    = {{Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual}},
  issn         = {{0149-144X}},
  keywords     = {{availability, dependability concept, multilevel dependability concept, railway vehicle, reliability, self optimizing active guidance system, self optimizing railway guidance system, situation classification, system behavior monitoring, optimal control, railways, reliability theory, self-adjusting systems}},
  pages        = {{1 --6}},
  title        = {{{Increasing the reliability of a self-optimizing railway guidance system}}},
  doi          = {{10.1109/RAMS.2010.5448080}},
  year         = {{2010}},
}

@inproceedings{17272,
  abstract     = {{In developmental research, tutoring behavior has been identified as scaffolding infants' learning processes. It has been defined in terms of child-directed speech (Motherese), child-directed motion (Motionese), and contingency. In the field of developmental robotics, research often assumes that in human-robot interaction (HRI), robots are treated similar to infants, because their immature cognitive capabilities benefit from this behavior. However, according to our knowledge, it has barely been studied whether this is true and how exactly humans alter their behavior towards a robotic interaction partner. In this paper, we present results concerning the acceptance of a robotic agent in a social learning scenario obtained via comparison to adults and 8-11 months old infants in equal conditions. These results constitute an important empirical basis for making use of tutoring behavior in social robotics. In our study, we performed a detailed multimodal analysis of HRI in a tutoring situation using the example of a robot simulation equipped with a bottom-up saliency-based attention model. Our results reveal significant differences in hand movement velocity, motion pauses, range of motion, and eye gaze suggesting that for example adults decrease their hand movement velocity in an Adult-Child Interaction (ACI), opposed to an Adult-Adult Interaction (AAI) and this decrease is even higher in the Adult-Robot Interaction (ARI). We also found important differences between ACI and ARI in how the behavior is modified over time as the interaction unfolds. These findings indicate the necessity of integrating top-down feedback structures into a bottom-up system for robots to be fully accepted as interaction partners.}},
  author       = {{Vollmer, Anna-Lisa and Lohan, Katrin Solveig and Fischer, Kerstin and Nagai, Yukie and Pitsch, Karola and Fritsch, Jannik and Rohlfing, Katharina and Wrede, Britta}},
  booktitle    = {{Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning}},
  keywords     = {{robot simulation, hand movement velocity, robotic interaction partner, robotic agent, robot-directed interaction, multimodal analysis, Motionese, Motherese, intelligent tutoring systems, immature cognitive capability, human computer interaction, eye gaze, child-directed speech, child-directed motion, bottom-up system, bottom-up saliency-based attention model, adult-robot interaction, adult-child interaction, adult-adult interaction, human-robot interaction, action learning, social learning scenario, social robotics, software agents, top-down feedback structures, tutoring behavior}},
  pages        = {{1--6}},
  publisher    = {{IEEE}},
  title        = {{{People modify their tutoring behavior in robot-directed interaction for action learning}}},
  doi          = {{10.1109/DEVLRN.2009.5175516}},
  year         = {{2009}},
}

@inbook{33815,
  abstract     = {{Test processes in the automotive industry are tool-intensive and affected by technologically heterogeneous test infrastructures. In the industrial practice a product has to pass tests at several levels of abstraction such as Model-in-the-Loop (MIL), Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) tests. Different test systems are applied for this purpose (e.g. dSPACE MTest, dSPACE Automation Desk, National Instruments Teststand) and almost each test system requests its own proprietary test description language. The exchange of tests between different test systems and the reuse of tests between different test levels is normally not possible. Efforts to integrate these heterogeneous test environments, to address test exchange in a general manner and to standardize and harmonize the existing language environment are still at the beginning and not tailored towards the requirements of the automotive domain. To keep the whole development and test process efficient and manageable, the definition of an integrated and seamless approach is required. TestML – the test exchange language we present in this article – is defined to overcome the technological obstacles (different test language syntax and semantics, different data formats and interface descriptions) that almost automatically accompany the application of heterogeneous test tools and test infrastructures. TestML supports the exchange of tests between different test notations in a heterogeneous tool environment. In this paper, we introduce the XML schema of TestML and demonstrate the efficiency of the interchange format by giving examples from the model-based development of electronic control units. Tool support is illustrated by an application with Simulink/Stateflow.}},
  author       = {{Großmann, Jürgen and Fey, Ines and Krupp, Alexander and Conrad, Mirko and Wewetzer, Christian and Müller, Wolfgang}},
  booktitle    = {{ASWSD 2006: Model-Driven Development of Reliable Automotive Services}},
  editor       = {{Broy, Manfred and Krüger, Ingolf H. and Meisinger, Michael}},
  isbn         = {{978-3-540-70929-9}},
  keywords     = {{Test Behavior, Test Exchange, System Under Test, Hybrid Automaton, Test Execution}},
  pages        = {{98--117}},
  publisher    = {{Springer Verlag}},
  title        = {{{TestML – A Test Exchange Language for Model-based Testing of Embedded Software}}},
  doi          = {{10.1007/978-3-540-70930-5_7}},
  year         = {{2008}},
}

@inproceedings{17278,
  abstract     = {{This paper investigates the influence of feedback provided by an autonomous robot (BIRON) on users’ discursive behavior. A user study is described during which users show objects to the robot. The results of the experiment indicate, that the robot’s verbal feedback utterances cause the humans to adapt their own way of speaking. The changes in users’ verbal behavior are due to their beliefs about the robots knowledge and abilities. In this paper they are identified and grouped. Moreover, the data implies variations in user behavior regarding gestures. Unlike speech, the robot was not able to give feedback with gestures. Due to the lack of feedback, users did not seem to have a consistent mental representation of the robot’s abilities to recognize gestures. As a result, changes between different gestures are interpreted to be unconscious variations accompanying speech.}},
  author       = {{Lohse, Manja and Rohlfing, Katharina and Wrede, Britta and Sagerer, Gerhard}},
  isbn         = {{1050-4729}},
  keywords     = {{discursive behavior, autonomous robot, BIRON, man-machine systems, robot abilities, robot knowledge, user gestures, robot verbal feedback utterance, speech processing, user verbal behavior, service robots, human-robot interaction, human computer interaction, gesture recognition}},
  pages        = {{3481--3486}},
  title        = {{{“Try something else!” — When users change their discursive behavior in human-robot interaction}}},
  doi          = {{10.1109/ROBOT.2008.4543743}},
  year         = {{2008}},
}

@article{6094,
  abstract     = {{In the current study, we tested whether search for a visual motion singleton presented among several coherently moving distractors can be more efficient than search for a motion stimulus presented with a single distractor. Under a variety of conditions, multiple spatially distributed and coherently moving distractors facilitated search for a uniquely moving target relative to a single-motion-distractor condition (Experiments 1,3, and 4). Color coherencies among static distractors were not equally effective (Experiments 1 and 2). These results confirm that humans are highly sensitive to antagonistically directed motion signals in backgrounds compared with spatially more confined regions of visual images. (PsycINFO Database Record (c) 2016 APA, all rights reserved)}},
  author       = {{Ansorge, Ulrich and Scharlau, Ingrid and Labudda, Kirsten}},
  issn         = {{0340-0727}},
  journal      = {{Psychological Research}},
  keywords     = {{visual search, motion singleton, visual images, visual motion, coherently moving distractors, Adult, Attention, Exploratory Behavior, Female, Humans, Male, Motion Perception, Visual Perception, Motion Perception, Stimulus Salience, Visual Search, Distraction, Retinal Image}},
  number       = {{2}},
  pages        = {{103 -- 116}},
  title        = {{{Visual search for a motion singleton among coherently moving distractors.}}},
  volume       = {{70}},
  year         = {{2006}},
}

@inproceedings{9519,
  abstract     = {{Several positioning tasks demand translatory drive instead of rotary motion. To achieve drives that are capable e.g. to drive the sunroof of a car or to lift a car's window, multiple miniaturized motors can be combined. But in this case many other questions arise: the electromechanical behavior of the individual motors differs slightly, the motor characteristics are strongly dependent on the driving parameters and the driven load, many applications need some extra power for special cases like overcoming higher forces periodically. Thus, the bundle of motors has to act well organized and controlled to get an optimized drive that is not oversized and costly.}},
  author       = {{Hemsel, Tobias and Mracek, Maik and Wallaschek, Jörg and Vasiljev, Piotr}},
  booktitle    = {{Ultrasonics Symposium, 2004 IEEE}},
  issn         = {{1051-0117}},
  keywords     = {{drives, electromechanical effects, linear motors, ultrasonic motors, car sunroof, car window, electromechanical behavior, high power ultrasonic linear motors, multiple miniaturized motors, positioning tasks, translatory drive, Costs, Electromagnetic forces, Frequency, Laboratories, Manufacturing, Mechatronics, Micromotors, Ultrasonic imaging, Vibrations, Voltage}},
  number       = {{Vol.2}},
  pages        = {{1161--1164}},
  title        = {{{A novel approach for high power ultrasonic linear motors}}},
  doi          = {{10.1109/ULTSYM.2004.1417988}},
  volume       = {{2}},
  year         = {{2004}},
}