EXC 277: Cognitive Interaction Technology
Systems Engineering
Final Report Abstract
Founded on a vision of a human-friendly technology that adapts to users’ needs and is easy and intuitive to use, CITEC has established a new and highly interdisciplinary field: Cognitive Interaction Technology. Sharing the vision of AI – to understand and replicate cognition – CITEC focused on interacting, closed loop systems that involve cognitive agents, such as humans, robots, animals and intelligent devices. It connected insights from computer science/robotics, biology, psychology, sports science and linguistics – along with methods from mathematics and physics – in order to elucidate the interplay and roles of motion intelligence, attentive systems, situated communication, memory and learning for enabling cognitive interaction. Extending over two funding phases in the Excellence Initiative, CITEC started out with research on important isolated aspects of cognitive interaction, such as dextrous manipulation, bio-inspired robots and social interaction and moved towards increasing integration of system components. This enabled the development and evaluation of a range of ambitious and major cognitive interaction demonstrator systems, including the bimanual FAMULA Robot, the expressive robot head Flobi, the insectoid robot HECTOR, the virtual training environment ICSPACE, and smart home environments, such as KogniHome. Our results have led to nearly 5,000 publications since its inception in 2007. We established a highly interdisciplinary research environment, linking more than 40 groups and over 700 researchers from the participating disciplines over the whole funding period. A dedicated research building with a central lab infrastructure provided a tailored infrastructure to connect research threads and labs for reproducible research with complex, data-intensive hardware-software prototypes. An integrated Graduate School allowed over 250 young researchers to gain their PhDs and then pursue successful careers. CITEC established a rich network of partners. These included international research networks, such as the CITEC-initiated Thematic Network Interactive Intelligent Systems (TN-IIS), a Virtual Faculty of leading AI, robotics and brain researchers, and strategic partnerships with major companies to anchor research in relevant applications: HONDA (for robotics), MIELE (for household appliances), BERTELSMANN (for intelligent media) and BETHEL (for assistance to elderly and disabled people), as well as numerous small and medium-sized local companies. CITEC was also a partner in numerous research consortia at the national and international level. Our researchers attracted close to €70 million of third-party funding in addition to the funding by the Excellence Initiative.
Link to the final report
https://dx.doi.org/10.2314/KXP:1698236557
Publications
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(2009). Increasing the expressiveness for virtual agents. Autonomous generation of speech and gesture for spatial description tasks. In K. S. Decker, J. S. Sichman, C. Sierra, & C. Castelfranchi (Eds.), Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009) (pp. 361–368). Ann Arbor, MI: IFAAMAS
Bergmann, K., & Kopp, S.
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(2009). Mediated attention with multimodal augmented reality. ICMI-MLMI : Proceedings of the 2009 international conference on Multimodal interfaces, 245–252. New York, NY, USA: ACM
Dierker, A., Mertes, C., Hermann, T., Hanheide, M., & Sagerer, G.
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(2009). Moving and memorizing: Motor planning modulates the recency effect in serial and free recall. Act Psychologica, 132(1), 68–79
Weigelt, M., Rosenbaum, D. A., Huelshorst, S., & Schack, T.
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(2009). The cognitive structure of movements in classical dance. Psychology of Sport and Exercise, 10(3), 350–360
Bläsing, B., Tenenbaum, G., & Schack, T.
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(2010). Appropriate Feedback in Asymmetric Interactions. Journal of Pragmatics, 42(9), 2369–2384
Wrede, B., Kopp, S., Rohlfing, K., Lohse, M., & Muhl, C.
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(2010). Bio-Inspired Motion Strategies for a Bimanual Manipulation Task. International Conference on Humanoid Robots (Humanoids)
Steffen, J. F., Elbrechter, C., Haschke, R., & Ritter, H.
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(2010). Social resonance and embodied coordination in face-to-face conversation with artificial interlocutors. Speech Communication, 52(6), 587–597
Kopp, S.
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(2010). The functional architecture of the human body: assessing body representation by sorting body parts and activities. Experimental Brain Research, 203(1), 119–129
Bläsing, B., Schack, T., & Brugger, P.
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(2010). Three 2D-Warping Schemes for Visual Robot Navigation. Autonomous Robots, 29(3–4), 253–291
Möller, R., Krzykawski, M., & Gerstmayr, L.
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(2010). Where to Look Next? Combining Static and Dynamic Proto-objects in a TVA-based Model of Visual Attention. Cognitive Computation, 2(4), 326–343
Wischnewski, M., Belardinelli, A., Schneider, W. X., & Steil, J. J.
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(2011). A Hierarchical ART Network for the Stable Incremental Learning of Topological Structures and Associations from Noisy Data. Neural Networks, 24(8), 906–916
Tscherepanow, M., Kortkamp, M., & Kammer, M.
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(2011). Bi-Manual Robotic Paper Manipulation Based on Real-Time Marker Tracking and Physical Modelling. International Conference on Intelligent Robots and Systems (IROS 2011) Piscataway, NJ: IEEE
Elbrechter, C., Haschke, R., & Ritter, H.
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(2011). Biomechatronics for Embodied Intelligence of an Insectoid Robot. Proceedings of the 4th International Conference on Intelligent Robotics and Applications (ICIRA 2011), 1–11. Springer
Schneider, A., Paskarbeit, J., Schäffersmann, M., & Schmitz, J.
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(2011). Embodied Gesture Processing: Motor-based Perception-Action Integration in Social Artificial Agents. Cognitive Computation, 3(3), 419–435
Sadeghipour, A., & Kopp, S.
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(2011). Example-Driven Deformations Based on Discrete Shells. Computer Graphics Forum, 30(8), 2246–2257
Fröhlich, S., & Botsch, M.
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(2011). From Affordances to Situated Affordances in Robotics - Why Context is Important. Frontiers in Computational Neuroscience, 5(30)
Kammer, M., Schack, T., Tscherepanow, M., & Nagai, Y.
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(2011). No Need for a Cognitive Map: Decentralized Memory for Insect Navigation. PLoS. Comp Biol, 7(3), e1002009
Cruse, H., & Wehner, R.
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(2011). Saccadic eye movements in a high-speed bimanual stacking task: Changes of attentional control during learning and automatization. Journal of Vision, 11(7)(9), 1–16
Foerster, R. M., Carbone, E., Koesling, H., & Schneider, W. X.
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(2012). Aging-related changes of neural mechanisms underlying visual-spatial working memory. Neurobiology of Aging, 33(7), 1284–1297
Piefke, M., Onur, Ö. A., & Fink, G. R.
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(2012). An integrated multi-modal actuated tangible user interface for distributed collaborative planning. Proceedings of the Sixth International Conference on Tangible, Embedded and Embodied Interaction, 169–174. New York: ACM
Riedenklau, E., Hermann, T., & Ritter, H.
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(2012). Corrections in grasp posture in response to modifications of action goals. PLoS ONE, 7(9), e43015
Hughes, C., Seegelke, C., Spiegel, M. A., Oehmichen, C., Hammes, J., & Schack, T.
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(2012). Folding Paper with Anthropomorphic Robot Hands using Real-Time Physics-Based Modeling. 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012) Piscataway, NJ: IEEE
Elbrechter, C., Haschke, R., & Ritter, H.
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(2012). Saccadic eye movements in the dark while performing an automatized sequential high-speed sensorimotor task. Journal of Vision, 12(2)(8), 1–15
Foerster, R. M., Carbone, E., Koesling, H., & Schneider, W. X.
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(2013). A hexapod walker using a heterarchical architecture for action selection. Frontiers in Computational Neuroscience, 7, 126
Schilling, M., Paskarbeit, J., Hoinville, T., Hüffmeier, A., Schneider, A., Schmitz, J., & Cruse, H.
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(2013). A highly sensitive 3D-shaped tactile sensor. 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 1084–1089. Piscataway, NJ: IEEE
Kõiva, R., Zenker, M., Schürmann, C., Haschke, R., & Ritter, H.
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(2013). Cleaning robot navigation using panoramic views and particle clouds as landmarks. Robotics and Autonomous Systems, 61(12), 1415–1439
Möller, R., Krzykawski, M., Gerstmayr-Hillen, L., Horst, M., Fleer, D. R., & de Jong, J.
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(2013). Dense topological maps and partial pose estimation for visual control of an autonomous cleaning robot. Robotics and Autonomous Systems, 61(5), 497–516
Gerstmayr-Hillen, L., Röben, F., Krzykawski, M., Kreft, S., Venjakob, D., & Möller, R.
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(2013). Effects of speaker emotional facial expression and listener age on incremental sentence processing. PLoS ONE, 8(9), e72559
Carminati, M. N., & Knoeferle, P.
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(2013). Functionally sequenced scanpath similarity method (FuncSim): Comparing and evaluating scanpath similarity based on a task’s inherent sequence of functional (action) units. Journal of Eye Movement Research, 6(5), 1–22
Foerster, R. M., & Schneider, W. X.
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(2013). Realtime 3D Segmentation for Human-Robot Interaction. Presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013), Tokyo, Japan
Ueckermann, A., Haschke, R., & Ritter, H.
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(2013). Selective visual processing across competition episodes: a theory of task-driven visual attention and working memory. Philosophical Transactions of The Royal Society B Biological Sciences, 368(1628)
Schneider, W. X.
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(2013). Sensory flow shaped by active sensing: sensorimotor strategies in electric fish. The Journal of experimental biology, 216(13), 2487–2500
Hofmann, V., Sanguinetti-Scheck, J. I., Künzel, S., Geurten, B., Gómez-Sena, L., & Engelmann, J.
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(2013). The Functional Role of Working Memory in the (Re-)Planning and Execution of Grasping Movements. Journal of Experimental Psychology: Human Perception and Performance, 39(5), 1326–1339
Spiegel, M. A., Koester, D., & Schack, T.
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(2013). To err is human (-like): Effects of robot gesture on perceived anthropomorphism and likeability. International Journal of Social Robotics, 5(3), 313–323
Salem, M., Eyssel, F. A., Rohlfing, K., Kopp, S., & Joublin, F.
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(2013). When a robot’s group membership matters: Anthropomorphization of robots as a function of social categorization. International Journal of Social Robotics, 5, 409–417
Kuchenbrandt, D., Eyssel, F. A., Bobinger, S., & Neufeld, M.
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(2014). A computational model for the item-based induction of construction networks. Cognitive Science, 38(3), 439–488
Gaspers, J., & Cimiano, P.
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(2014). Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data. Pattern Recognition Letters, 49, 138–145
Zhu, X., Schleif, F. - M., & Hammer, B.
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(2014). An architecture for fluid real-time conversational agents: Integrating incremental output generation and input processing. Journal on Multimodal User Interfaces, 8, 97–108
Kopp, S., van Welbergen, H., Yaghoubzadeh, R., & Buschmeier, H.
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(2014). Co-development of manner and path concepts in language, action, and eye-gaze behavior. Topics in Cognitive Science, 6(3), 492–512
Lohan, K. S., Griffiths, S., Sciutti, A., Partmann, T. C., & Rohlfing, K.
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(2014). Expertise affects representation structure and categorical activation of grasp postures in climbing. Frontiers in Psychology, 5, 1008
Bläsing, B., Güldenpenning, I., Koester, D., & Schack, T.
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(2014). EyeSee3D: a low-cost approach for analysing mobile 3D eye tracking data using augmented reality technology. Proceedings of the Symposium on Eye Tracking Research and Applications, 195–202. New York: ACM
Pfeiffer, T., & Renner, P.
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(2014). Learning vector quantization for (dis-)similarities. NeuroComputing, 131, 43–51
Hammer, B., Hofmann, D., Schleif, F.-M., & Zhu, X.
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(2014). Mental Representation and Mental Practice: Experimental Investigation on the Functional Links between Motor Memory and Motor Imagery. PLoS ONE, 9(4), e95175
Frank, C., Land, W. M., Popp, C., & Schack, T.
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(2014). Spatial distance effects on incremental semantic interpretation of abstract sentences: Evidence from eye tracking. Cognition, 133, 535–552
Guerra, E., & Knoeferle, P.
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(2014). The Cognitive Interaction Toolkit – Improving Reproducibility of Robotic Systems Experiments. In D. Brugali, J. F. Broenink, T. Kroeger, & B. A. MacDonald (Eds.), Lecture Notes in Computer Science Vol. 8810. SIMPAR: International Conference on Simulation, Modeling, and Programming for Autonomous Robots (pp. 400–411). Cham: Springer
Lier, F., Wienke, J., Nordmann, A., Wachsmuth, S., & Wrede, S.
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(2014). The influence of attentional focus on the development of skill representation in a complex action. Psychology of Sport and Exercise, 15(1), 30–38
Land, W. M., Frank, C., & Schack, T.
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(2015). Augmenting curved robot surfaces with soft tactile skin. 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1514–1519. Hamburg: Institute of Electrical & Electronics Engineers (IEEE)
Büscher, G., Meier, M., Walck, G., Haschke, R., & Ritter, H.
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(2015). Data visualization by nonlinear dimensionality reduction. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 5(2), 51–73
Gisbrecht, A., & Hammer, B.
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(2015). Expectation-violations in sensorimotor sequences: shifting from LTM-based attentional selection to visual search. Annals of the New York Academy of Sciences, 1339, 45–59
Foerster, R. M., & Schneider, W. X.
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(2015). Exploring the alignment space – lexical and gestural alignment with real and virtual humans. Frontiers in ICT. Human-Media Interaction, 2, 7
Bergmann, K., Branigan, H. P., & Kopp, S.
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(2015). Flexible and stretchable fabric-based tactile sensor. Robotics and Autonomous Systems, 63(SI Advances in Tactile Sensing and Touch-based Human-Robot Interaction), 244–252
Büscher, G., Kõiva, R., Schürmann, C., Haschke, R., & Ritter, H.
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(2015). Investigating the brain basis of facial expression perception using multi-voxel pattern analysis. Cortex, 69, 131–140
Wegrzyn, M., Riehle, M., Labudda, K., Woermann, F., Baumgartner, F., Pollmann, S., Bien, C. G., et al.
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(2015). Learning with educational companion robots? Toward attitudes on education robots, predictors of attitudes, and application potentials for education robots. International Journal of Social Robotics, 7(5), 875–888
Reich-Stiebert, N., & Eyssel, F. A.
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(2015). Obstacle crossing of a real, compliant robot based on local evasion movements and averaging of stance heights using singular value decomposition. Proceedings IEEE International Conference on Robotics and Automation (ICRA), 3140–3145. Piscataway, NJ: IEEE
Paskarbeit, J., Schilling, M., Schmitz, J., & Schneider, A.
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(2015). Parametric nonlinear dimensionality reduction using kernel t-SNE. Neurocomputing, 147, 71–82
Gisbrecht, A., Schulz, A., & Hammer, B.
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(2015). Perceived Communicative Context and Emotional Content Amplify Visual Word Processing in the Fusiform Gyrus. Journal of Neuroscience, 35(15), 6010–6019
Schindler, S., Wegrzyn, M., Steppacher, I., & Kißler, J.
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(2015). Sparse conformal prediction for dissimilarity data. Annals of Mathematics and Artificial Intelligence, 74(1–2), 95–116
Schleif, F. - M., Zhu, X., & Hammer, B.
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(2015). Temporal Effects of Alignment in Text-Based, Task-Oriented Discourse. Discourse Processes, 52(8), 609–641
Foltz, A., Gaspers, J., Meyer, C., Thiele, K., Cimiano, P., & Stenneken, P.
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(2015). Tunnel junction based memristors as artificial synapses. Frontiers in Neuroscience, 9, 241
Thomas, A., Niehörster, S., Fabretti, S., Shepheard, N., Kuschel, O., Küpper, K., Wollschläger, J., et al.
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(2015). Visual attention during spatial language comprehension. PLoS ONE, 10(1), e0115758
Burigo, M., & Knoeferle, P.
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(2016). 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. Proceedings of the Fourth International Conference on Human-agent Interaction, Singapore: ACM Digital Library
Richter, V., Carlmeyer, B., Lier, F., Meyer zu Borgsen, S., Schlangen, D., Kummert, F., Wachsmuth, S., et al.
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(2016). Correlation detection as a general mechanism for multisensory integration. Nature Communications, 7, 11543
Parise, C., & Ernst, M. O.
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(2016). Distinguishing sliding from slipping during object pushing. Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on IEEE
Meier, M., Walck, G., Haschke, R., & Ritter, H.
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(2016). Engagement Detection During Deictic References in Human-Robot Interaction. Social Robotics, Lecture Notes in Computer Science, 930–939. Springer Nature
Dankert, T., Goerlich, M., Wrede, S., Gehle, R., & Pitsch, K.
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(2016). Humotion. Proceedings of the Fourth International Conference on Human Agent Interaction – HAI Association for Computing Machinery (ACM)
Schulz, S., Lier, F., Kipp, A., & Wachsmuth, S.
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(2016). Joint torques in a freely walking insect reveal distinct functions of leg joints in propulsion and posture control. Proceedings of the Royal Society B: Biological Sciences, 283(1823), 20151708
Dallmann, C., Dürr, V., & Schmitz, J.
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(2016). Learning in Silicon Beyond STDP: A Neuromorphic Implementation of Multi-Factor Synaptic Plasticity With Calcium-Based Dynamics. IEEE Transactions on Circuits and Systems I: Regular Papers, 63(12), 2189–2199
Maldonado Huayaney, F. L., Nease, S., & Chicca, E.
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(2016). Modeling latency code processing in the electric sense: from the biological template to its VLSI implementation. Bioinspiration & Biomimetics, 11(5), 055007
Engelmann, J., Walther, T., Grant, K., Chicca, E., & Gómez-Sena, L.
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(2016). Perceptual-cognitive changes during motor learning: The influence of mental and physical practice on mental representation, gaze behavior, and performance of a complex action. Frontiers in Psychology, 6, 1981
Frank, C., Land, W. M., & Schack, T.
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(2016). The Impact of Latency on Perceptual Judgments and Motor Performance in Closed-loop Interaction in Virtual Reality. Proceedings of ACM Symposium on Virtual Reality Software and Technology, 27–35. ACM
Waltemate, T., Senna, I., Hülsmann, F., Rohde, M., Kopp, S., Ernst, M. O., & Botsch, M.
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(2016). Using the virtual reality device Oculus Rift for neuropsychological assessment of visual processing capabilities. Scientific Reports, 6, 37016
Foerster, R. M., Poth, C. H., Behler, C., Botsch, M., & Schneider, W. X.
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(2017). A Deep Reinforcement Learning Based Model Supporting Object Familiarization. Proceedings of the 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics Lisbon, Portugal
Panzner, M., & Cimiano, P.
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(2017). A load-based mechanism for inter-leg coordination in insects. Proceedings of the Royal Society B: Biological Sciences, 284(1868), 20171755
Dallmann, C., Hoinville, T., Dürr, V., & Schmitz, J.
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(2017). A robot at home – How affect, technology commitment, and personality traits influence user experience in an intelligent Robotics Apartment. Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 641–646
Bernotat, J., & Eyssel, F. A.
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(2017). A simple generative model of incremental reference resolution for situated dialogue. Computer Speech & Language, 41, 43–67
Kennington, C., & Schlangen, D.
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(2017). Beyond On-Hold Messages: Conversational Time-Buying in Task-Oriented Dialogue. In K. Jokinen, M. Stede, D. DeVault, & A. Louis (Eds.), 18th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Proceedings of the conference (pp. 241–246)
Lopez Gambino, M. S., Zarrieß, S., & Schlangen, D.
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(2017). Differential effects of face-realism and emotion on event-related brain potentials and their implications for the uncanny valley theory. Scientific Reports, 7, 45003
Schindler, S., Zell, E., Botsch, M., & Kißler, J.
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(2017). Gaussian Mixture Model for 3-DoF orientations. Robotics and Autonomous Systems, 87, 28–37
Kim, S., Haschke, R., & Ritter, H.
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(2017). Hyperarticulation Aids Learning of New Vowels in a Developmental Speech Acquisition Model. 2017 International Joint Conference on Neural Networks (IJCNN) Piscataway, NJ: IEEE
Philippsen, A., Reinhart, F., Wrede, B., & Wagner, P.
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(2017). Pragmatic multimodality: Effects of nonverbal cues of focus and certainty in a virtual human. In J. Beskow, C. Peters, G. Castellano, C. O’Sullivan, I. Leite, & S. Kopp (Eds.), Lecture Notes in Computer Science: Vol. 10498. The Seventeenth International Conference on Intelligent Virtual Agents (IVA 2017) (pp. 142–155). Springer International Publishing
Freigang, F., Klett, S., & Kopp, S.
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(2017). The Cognitive Service Robotics Apartment: A Versatile Environment for Human-Machine Interaction Research. KI - Künstliche Intelligenz, 31(3), 299–304
Wrede, S., Leichsenring, C., Holthaus, P., Hermann, T., & Wachsmuth, S.
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(2017). The representation of motor (inter)action, states of action, and learning: Three perspectives on motor learning by way of imagery and execution. Frontiers in Psychology, 8, 678
Frank, C., & Schack, T.
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(2018). A Model Driven Approach for Eased Knowledge Storage and Retrieval in Interactive HRI Systems. Second IEEE International Conference on Robotic Computing IEEE
Köster, N., Wrede, S., & Cimiano, P.
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(2018). An Embodied Tutoring System for Literal vs. Metaphorical Concepts. Frontiers in Psychology, 9, 2254
Sionti, M., Schack, T., & Aloimonos, Y.
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(2018). An Ontology of Human Machine Interaction Data in Smart Environments. Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 : Volume 2, Lecture Notes in Networks and Systems, 16, 338–350. Cham: Springer
Köster, N., Wrede, S., & Cimiano, P.
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(2018). Communicative listener feedback in human–agent interaction: Artificial speakers need to be attentive and adaptive. Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems, 1213–1221
Buschmeier, H., & Kopp, S.
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(2018). Confidence in uncertainty. Error cost and commitment in early speech hypotheses. PLoS ONE, 13(8), e0201516
Loth, S., Jettka, K., Giuliani, M., Kopp, S., & de Ruiter, J.
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(2018). Learning to Put On a Knit Cap in a Head-Centric Policy Space. IEEE Robotics and Automation Letters, 3(2), 764–771
Twardon, L., & Ritter, H.
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(2018). Observational practice promotes action-related order-information in long-term memory. Journal of Motor Learning and Development, 6(1), 53–72
Frank, C., Kim, T., & Schack, T.
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(2018). Optimal multiguidance integration in insect navigation. Proceedings of the National Academy of Sciences of the United States of America, 115(11), 2824–2829
Hoinville, T., & Wehner, R.
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(2018). The Impact of Avatar Personalization and Immersion on Virtual Body Ownership, Presence, and Emotional Response. IEEE Transactions on Visualization and Computer Graphics, 24(4), 1643–1652
Waltemate, T., Gall, D., Roth, D., Botsch, M., & Latoschik, M. E.
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(2018). Transfer of spatial contact information among limbs and the notion of peripersonal space in insects. Frontiers in Computational Neuroscience, 12, 101
Dürr, V., & Schilling, M.
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(2018). Ultrahigh temporal resolution of visual presentation using gaming monitors and G-Sync. Behavior Research Methods, 50(1), 26–38
Poth, C. H., Foerster, R. M., Behler, C., Schwanecke, U., Schneider, W. X., & Botsch, M.
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(2018). Satisficing Models of Bayesian Theory of Mind for Explaining Behavior of Differently Uncertain Agents. Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018)
Pöppel, J., & Kopp, S.
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(2019). Base Cube One: A location-addressable service-oriented smart environment framework. Journal of Ambient Intelligence and Smart Environments, 11(5), 373–401
Pohling, M., Mertes, C., & Hermann, T.
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(2019). Computational assessment of long-term memory structures from SDA-M related to action sequences. PLoS ONE, 14(2), e0212414
Strenge, B., Vogel, L., & Schack, T.
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(2019). Evidence for Early Comprehension of Action Verbs. Language Learning and Development, 15(1), 64–74
Nomikou, I., Rohlfing, K., Cimiano, P., & Mandler, J. M.
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(2019). Extracting common sense knowledge via triple ranking using supervised and unsupervised distributional models. Semantic Web, 10(1), 139–158
Jebbara, S., Basile, V., Cabrio, E., & Cimiano, P.
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(2019). Integrative Biomimetics of Autonomous Hexapedal Locomotion. Frontiers in Neurorobotics
Dürr, V., Arena, P. P., Cruse, H., Dallmann, C., Drimus, A., Hoinville, T., Krause, T., et al.
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(2019). Modelling the co-emergence of linguistic constructions and action concepts: the case of action verbs. IEEE Transactions on Cognitive and Developmental Systems
Panzner, M., Cimiano, P., & Gaspers, J.