EXC 277:  Cognitive Interaction Technology

• Subject Area: Computer Science ; Systems Engineering
• Term: from 2007 to 2019
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 39113330

• Final Report Year: 2019

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

• (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.
  
• (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.
  (See online at https://doi.org/10.1145/1647314.1647368)
• (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.
  (See online at https://psycnet.apa.org/doi/10.1016/j.actpsy.2009.06.005)
• (2009). The cognitive structure of movements in classical dance. Psychology of Sport and Exercise, 10(3), 350–360
  Bläsing, B., Tenenbaum, G., & Schack, T.
  (See online at https://psycnet.apa.org/doi/10.1016/j.psychsport.2008.10.001)
• (2010). Appropriate Feedback in Asymmetric Interactions. Journal of Pragmatics, 42(9), 2369–2384
  Wrede, B., Kopp, S., Rohlfing, K., Lohse, M., & Muhl, C.
  (See online at https://doi.org/10.1016/j.pragma.2010.01.003)
• (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.
  (See online at https://doi.org/10.1109/ICHR.2010.5686830)
• (2010). Social resonance and embodied coordination in face-to-face conversation with artificial interlocutors. Speech Communication, 52(6), 587–597
  Kopp, S.
  (See online at https://psycnet.apa.org/doi/10.1016/j.specom.2010.02.007)
• (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.
  (See online at https://doi.org/10.1007/s00221-010-2216-4)
• (2010). Three 2D-Warping Schemes for Visual Robot Navigation. Autonomous Robots, 29(3–4), 253–291
  Möller, R., Krzykawski, M., & Gerstmayr, L.
  (See online at https://doi.org/10.1007/s10514-010-9195-y)
• (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.
  (See online at https://doi.org/10.1007/s12559-010-9080-1)
• (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.
  (See online at https://doi.org/10.1016/j.neunet.2011.05.009)
• (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.
  (See online at https://doi.org/10.1109/IROS.2011.6094742)
• (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.
  (See online at https://doi.org/10.1007/978-3-642-25489-5_1)
• (2011). Embodied Gesture Processing: Motor-based Perception-Action Integration in Social Artificial Agents. Cognitive Computation, 3(3), 419–435
  Sadeghipour, A., & Kopp, S.
  (See online at https://doi.org/10.1007/s12559-010-9082-z)
• (2011). Example-Driven Deformations Based on Discrete Shells. Computer Graphics Forum, 30(8), 2246–2257
  Fröhlich, S., & Botsch, M.
  (See online at https://doi.org/10.1111/j.1467-8659.2011.01974.x)
• (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.
  (See online at https://doi.org/10.3389/conf.fncom.2011.52.00030)
• (2011). No Need for a Cognitive Map: Decentralized Memory for Insect Navigation. PLoS. Comp Biol, 7(3), e1002009
  Cruse, H., & Wehner, R.
  (See online at https://doi.org/10.1371/journal.pcbi.1002009)
• (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.
  (See online at https://doi.org/10.1167/11.7.9)
• (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.
  (See online at https://doi.org/10.1016/j.neurobiolaging.2010.10.014)
• (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.
  (See online at https://doi.org/10.1145/2148131.2148167)
• (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.
  (See online at https://doi.org/10.1371/journal.pone.0043015)
• (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.
  (See online at https://doi.org/10.1109/HUMANOIDS.2012.6651522)
• (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.
  (See online at https://doi.org/10.1167/12.2.8)
• (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.
  (See online at https://doi.org/10.3389/fncom.2013.00126)
• (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.
  (See online at https://doi.org/10.1109/AIM.2013.6584238)
• (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.
  (See online at https://doi.org/10.1016/j.robot.2013.07.011)
• (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.
  (See online at https://doi.org/10.1016/j.robot.2012.12.006)
• (2013). Effects of speaker emotional facial expression and listener age on incremental sentence processing. PLoS ONE, 8(9), e72559
  Carminati, M. N., & Knoeferle, P.
  (See online at https://doi.org/10.1371/journal.pone.0072559)
• (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.
  (See online at https://doi.org/10.16910/jemr.6.5.4)
• (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.
  (See online at https://doi.org/10.1109/IROS.2013.6696655)
• (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.
  (See online at https://doi.org/10.1098/rstb.2013.0060)
• (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.
  (See online at https://doi.org/10.1242/jeb.082420)
• (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.
  (See online at https://doi.org/10.1037/a0031398)
• (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.
  (See online at https://doi.org/10.1007/s12369-013-0196-9)
• (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.
  (See online at https://doi.org/10.1007/s12369-013-0197-8)
• (2014). A computational model for the item-based induction of construction networks. Cognitive Science, 38(3), 439–488
  Gaspers, J., & Cimiano, P.
  (See online at https://doi.org/10.1111/cogs.12114)
• (2014). Adaptive Conformal Semi-Supervised Vector Quantization for Dissimilarity Data. Pattern Recognition Letters, 49, 138–145
  Zhu, X., Schleif, F. - M., & Hammer, B.
  (See online at https://doi.org/10.1016/j.patrec.2014.07.009)
• (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.
  (See online at https://doi.org/10.1007/s12193-013-0130-3)
• (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.
  (See online at https://doi.org/10.1111/tops.12098)
• (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.
  (See online at https://doi.org/10.3389/fpsyg.2014.01008)
• (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.
  (See online at https://doi.org/10.1145/2578153.2578183)
• (2014). Learning vector quantization for (dis-)similarities. NeuroComputing, 131, 43–51
  Hammer, B., Hofmann, D., Schleif, F.-M., & Zhu, X.
  (See online at https://doi.org/10.1016/j.neucom.2013.05.054)
• (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.
  (See online at https://doi.org/10.1371/journal.pone.0095175)
• (2014). Spatial distance effects on incremental semantic interpretation of abstract sentences: Evidence from eye tracking. Cognition, 133, 535–552
  Guerra, E., & Knoeferle, P.
  (See online at https://doi.org/10.1016/j.cognition.2014.07.007)
• (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.
  (See online at https://doi.org/10.1007/978-3-319-11900-7_34)
• (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.
  (See online at https://doi.org/10.1016/j.psychsport.2013.09.006)
• (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.
  (See online at https://doi.org/10.1109/IROS.2015.7353568)
• (2015). Data visualization by nonlinear dimensionality reduction. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 5(2), 51–73
  Gisbrecht, A., & Hammer, B.
  (See online at https://doi.org/10.1002/widm.1147)
• (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.
  (See online at https://doi.org/10.1111/nyas.12729)
• (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.
  (See online at https://doi.org/10.3389/fict.2015.00007)
• (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.
  (See online at https://doi.org/10.1016/j.robot.2014.09.007)
• (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.
  (See online at https://doi.org/10.1016/j.cortex.2015.05.003)
• (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.
  (See online at https://doi.org/10.1007/s12369-015-0308-9)
• (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.
  (See online at https://doi.org/10.1109/ICRA.2015.7139631)
• (2015). Parametric nonlinear dimensionality reduction using kernel t-SNE. Neurocomputing, 147, 71–82
  Gisbrecht, A., Schulz, A., & Hammer, B.
  (See online at https://doi.org/10.1016/j.neucom.2013.11.045)
• (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.
  (See online at https://doi.org/10.1523/JNEUROSCI.3346-14.2015)
• (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.
  (See online at https://doi.org/10.1007/s10472-014-9402-1)
• (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.
  (See online at https://doi.org/10.1080/0163853X.2014.977696)
• (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.
  (See online at https://doi.org/10.3389/fnins.2015.00241)
• (2015). Visual attention during spatial language comprehension. PLoS ONE, 10(1), e0115758
  Burigo, M., & Knoeferle, P.
  (See online at https://doi.org/10.1371/journal.pone.0115758)
• (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.
  (See online at https://doi.org/10.1145/2974804.2974823)
• (2016). Correlation detection as a general mechanism for multisensory integration. Nature Communications, 7, 11543
  Parise, C., & Ernst, M. O.
  (See online at https://doi.org/10.1038/ncomms11543)
• (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.
  (See online at https://doi.org/10.1109/IROS.2016.7759820)
• (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.
  (See online at https://doi.org/10.1007/978-3-319-47437-3_91)
• (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.
  (See online at https://doi.org/10.1145/2974804.2974827)
• (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.
  (See online at https://doi.org/10.1098/rspb.2015.1708)
• (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.
  (See online at https://doi.org/10.1109/TCSI.2016.2616169)
• (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.
  (See online at https://doi.org/10.1088/1748-3190/11/5/055007)
• (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.
  (See online at https://doi.org/10.3389/fpsyg.2015.01981)
• (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.
  (See online at https://doi.org/10.1145/2993369.2993381)
• (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.
  (See online at https://doi.org/10.1038/srep37016)
• (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.
  (See online at https://doi.org/10.1109/DEVLRN.2017.8329828)
• (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.
  (See online at https://doi.org/10.1098/rspb.2017.1755)
• (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.
  
• (2017). A simple generative model of incremental reference resolution for situated dialogue. Computer Speech & Language, 41, 43–67
  Kennington, C., & Schlangen, D.
  (See online at https://doi.org/10.1016/j.csl.2016.04.002)
• (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.
  (See online at https://doi.org/10.18653/v1/W17-5529)
• (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.
  (See online at https://doi.org/10.1038/srep45003)
• (2017). Gaussian Mixture Model for 3-DoF orientations. Robotics and Autonomous Systems, 87, 28–37
  Kim, S., Haschke, R., & Ritter, H.
  (See online at https://doi.org/10.1016/j.robot.2016.10.002)
• (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.
  (See online at https://doi.org/10.1109/IJCNN.2017.7965833)
• (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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