@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}},
}

@inproceedings{9576,
  abstract     = {{In neurosurgery, delineation of tumor boundaries during resection of brain tumors is of substantial relevance. During operation distinction between tumor and healthy tissue rely on the abilities of the surgeon based on visual and tactile differentiation. In this paper a high sensitivity actuator-sensor system using a piezoelectric bimorph is presented. Frequency shift and transfer function of the bimorphpsilas voltages are detected and evaluated. Sensorpsilas sensitivity is evaluated using two frequency controls strategies: A phase-locked loop (PLL) and a self-oscillating circuit. Results of measurements conducted on gel-phantoms are presented and discussed.}},
  author       = {{Uribe, David Oliva and Stroop, Ralf and Hemsel, Tobias and Wallaschek, Jörg}},
  booktitle    = {{Frequency Control Symposium, 2008 IEEE International}},
  issn         = {{1075-6787}},
  keywords     = {{biomedical measurement, brain, cancer, neurophysiology, phantoms, phase locked loops, piezoelectric actuators, surgery, tactile sensors, transfer functions, tumours, PLL, biomedical tissue differentiation system, brain tumor resection, frequency control, frequency shift, gel-phantom, high sensitivity actuator-sensor system, neurosurgery, phase-locked loop, piezoelectric actuators, piezoelectric bimorph, self-oscillating circuit, sensor sensitivity, tactile differentiation, tactile sensor system, transfer function, tumor boundary, visual differentiation, Biomedical measurements, Circuits, Frequency control, Neoplasms, Neurosurgery, Phase locked loops, Piezoelectric actuators, Surges, Transfer functions, Voltage}},
  pages        = {{91--94}},
  title        = {{{Development of a biomedical tissue differentiation system using piezoelectric actuators}}},
  doi          = {{10.1109/FREQ.2008.4622963}},
  year         = {{2008}},
}

@inproceedings{4496,
  author       = {{Heinze, Nina and Sporer, Thomas and Jenert, Tobias}},
  booktitle    = {{Deutsche Gesellschaft für Informationswissenschaft und Informationspraxis: Tagungen der Deutschen Gesellschaft für Informationswissenschaft und Informationspraxis}},
  isbn         = {{978-3-925474-60-6}},
  keywords     = {{Wissenschaftliches Arbeiten, Blended Learning, Tutoring}},
  location     = {{Frankfurt am Main }},
  pages        = {{319--328}},
  title        = {{{Semivirtuelle Lernumgebung zum wissenschaftlichen Arbeiten als Ergänzung des Studienangebots der Universität Augsburg}}},
  volume       = {{9}},
  year         = {{2007}},
}

@article{17289,
  abstract     = {{Robots have to deal with an enormous amount of sensory stimuli. One solution in making sense of them is to enable a robot system to actively search for cues that help structuring the information. Studies with infants reveal that parents support the learning-process by modifying their interaction style, dependent on their child's developmental age. In our study, in which parents demonstrated everyday actions to their preverbal children (8-11 months old), our aim was to identify objective parameters for multimodal action modification. Our results reveal two action parameters being modified in adult-child interaction: roundness and pace. Furthermore, we found that language has the power to help children structuring actions sequences by synchrony and emphasis. These insights are discussed with respect to the built-in attention architecture of a socially interactive robot, which enables it to understand demonstrated actions. Our algorithmic approach towards automatically detecting the task structure in child-designed input demonstrates the potential impact of insights from developmental learning on robotics. The presented findings pave the way to automatically detect when to imitate in a demonstration}},
  author       = {{Rohlfing, Katharina and Fritsch, Jannik and Wrede, Britta and Jungmann, Tanja}},
  issn         = {{1568-5535}},
  journal      = {{Advanced Robotics}},
  keywords     = {{multi-modal motherese, child-directed input, motionese, learning mechanisms}},
  number       = {{10}},
  pages        = {{1183--1199}},
  publisher    = {{VSP BV}},
  title        = {{{How can multimodal cues from child-directed interaction reduce learning complexity in robots?}}},
  doi          = {{10.1163/156855306778522532}},
  volume       = {{20}},
  year         = {{2006}},
}

@article{6068,
  abstract     = {{Attending to a location shortens the perceptual latency of stimuli appearing at this location (perceptual latency priming). According to attentional explanations, perceptual latency priming relies on the speeded transfer of attended visual information into an internal model. However, doubts about the attentional origin have repeatedly been raised because efforts to minimize response bias have been insufficient in most studies. Five experiments investigated the contribution of a response bias to perceptual latency priming (judgment bias due to the two-alternative forced-choice method and due to the existence of the prime, criterion effects or second-order bias, sensorimotor priming). If any, only small response biases were found. The results thus support the attentional explanation. (PsycINFO Database Record (c) 2016 APA, all rights reserved)}},
  author       = {{Scharlau, Ingrid}},
  issn         = {{0340-0727}},
  journal      = {{Psychological Research}},
  keywords     = {{response bias, temporal order tasks, attention manipulation, masked primes, perceptual latency priming, Adult, Attention, Discrimination Learning, Female, Humans, Male, Memory, Short-Term, Orientation, Pattern Recognition, Visual, Perceptual Masking, Psychomotor Performance, Psychophysics, Reaction Time, Serial Learning, Attention, Latent Learning, Priming, Response Bias, Visual Perception, Response Latency, Temporal Order (Judgment)}},
  number       = {{4}},
  pages        = {{224 -- 236}},
  title        = {{{Evidence against response bias in temporal order tasks with attention manipulation by masked primes.}}},
  volume       = {{68}},
  year         = {{2004}},
}

@inproceedings{39078,
  author       = {{Gausemeier, Jürgen and Müller, Wolfgang and Paelke, Volker and Bauch, Jürgen and Shen, Q. and Radkowski, R. }},
  booktitle    = {{Proceedings of the Design 2004}},
  keywords     = {{mechatronic systems, self-optimization, virtual prototyping}},
  location     = {{Dubrovnik}},
  title        = {{{Virtual Prototyping Of Self-Optimizing Mechatronic Systems}}},
  year         = {{2004}},
}