Bibsonomy APA

  • Baladron, J., Vitay, J., Fietzek, T., & Hamker, F. H. (2023). The contribution of the basal ganglia and cerebellum to motor learning: A neuro-computational approach. PLOS Computational Biology, 19(4). https://doi.org/10.1371/journal.pcbi.1011024
  • Mandl, S., Brade, J., Bretschneider, M., Skripcak, A., Asbrock, F., Meyer, B., Jahn, G., Klimant, P., & Strobel, A. (2023). Social perception of Embodied Digital Technologies interacting with humans. In T. Ahram, W. Karwowski, P. Di Bucchianico, R. Taiar, L. Casarotto, & P. Costa (Eds.), Intelligent Human Systems Integration (IHSI 2023): Integrating People and Intelligent Systems. AHFE (2023) International Conference (Vols. 69, pp. 186–196). AHFE Open Access. https://doi.org/10.54941/ahfe1002836
  • Hensch, A.-C., Beggiato, M., & Krems, J. F. (2023). Drivers’ gap acceptance during parking maneuvers as a basis for initiating driving actions in automated vehicles. Transportation Research Part F: Traffic Psychology and Behaviour, 92, 133-142. https://doi.org/10.1016/j.trf.2022.11.008
  • Püschel, A., Kilian, W., & Odenwald, S. (2023). Heat on sight – Display thermal radiation in the peripheral field of view. In S. Gerbino, A. Lanzotti, M. Martorelli, R. Mirálbes Buil, C. Rizzi, & L. Roucoules (Eds.), Advances on Mechanics, Design Engineering and Manufacturing IV. JCM 2022. Lecture Notes in Mechanical Engineering (pp. 1483-1494). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-031-15928-2_129
  • Barioul, R., & Kanoun, O. (2023). k-Tournament Grasshopper Extreme Learner for FMG-Based Gesture Recognition. Sensors, 23(3). https://doi.org/10.3390/s23031096
  • Hielscher, R., & Lippert, L. (2023). Approximating the derivative of manifold-valued functions. Journal of Approximation Theory, 285. https://doi.org/10.1016/j.jat.2022.105832
  • Schmitz, I., & Einhäuser, W. (2023). Gaze estimation in videoconferencing settings. Computers in Human Behavior, 139, 107517. https://doi.org/10.1016/j.chb.2022.107517
  • Eisenträger, K., Haubner, J., Brade, J., Einhäuser, W., Bendixen, A., Winkler, S., Klimant, P., & Jahn, G. (2023). Evaluating the Effects of Virtual Reality Environment Learning on Subsequent Robot Teleoperation in an Unfamiliar Building. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2023.3247052
  • Brade, J., Hoppe, T., Winkler, S., Klimant, P., & Jahn, G. (2023). Visual cues improve spatial orientation in telepresence as in VR. Intelligent Human Systems Integration (IHSI 2023): Integrating People and Intelligent Systems, 69, 428–434. https://doi.org/10.54941/ahfe1002862
  • Sanseverino, G., Krumm, D., Kilian, W., & Odenwald, S. (2023). Estimation of hike events and temporal parameters with body-attached sensors. Sports Engineering, 26(1). https://doi.org/10.1007/s12283-023-00411-x
  • Meyer, S., Mandl, S., Gesmann-Nuissl, D., & Strobel, A. (2022). Responsibility in Hybrid Societies: Concepts and Terms. AI and Ethics. https://doi.org/10.1007/s43681-022-00184-2
  • Schuler, K., Quante, L., Schießl, C., Beggiato, M., & Jahn, G. (2022). Communication between drivers in a road bottleneck scenario. Advances in Transportation, 60, 306-312. https://doi.org/10.54941/ahfe1002461 
  • Djemal, A., Hellara, H., Barioul, R., Ben Atitallah, B., Ramalingame, R., Fricke, E., & Kanoun, O. (2022). Real-Time Model for Dynamic Hand Gestures Classification based on Inertial Sensor. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853648
  • Kretzschmar, F., Pichler, A., & Beggiato, M. (2022). Detection of Discomfort in Autonomous Driving via Stochastic Approximation. Advances in Transportation, 60, 87-92. https://doi.org/10.54941/ahfe1002437
  • Todorovikj, S., Kettner, F., Brand, D., Beggiato, M., & Ragni, M. (2022). Predicting Individual Discomfort in Autonomous Driving. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the 44th Annual Conference of the Cognitive Science Society (pp. 3103-3109). https://escholarship.org/uc/item/71n4f4cr
  • Hensch, A.-C., Beggiato, M., Mandl, S., Strobel, A., & Krems, J. F. (2022). The interplay of personality traits with drivers’ gap acceptance. Advances in Transportation, 60, 329-337. https://doi.org/10.54941/ahfe1002464
  • Kutz, D. F., Fröhlich, S., Rudisch, J., Müller, K., & Voelcker-Rehage, C. (2022). Finger Tapping as a Biomarker to Classify Cognitive Status in 80+-Year-Olds. Journal of Personalized Medicine, 12(2). https://doi.org/10.3390/jpm12020286
  • Uhlmann, T., & Brunnett, G. (2022). Dual-IMU-WIP: An easy-to-build Walk-in-Place System based on Inertial Measurement Units. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853693
  • Albrecht, S., Tamboli, R., Taubert, S., Eibl, M., Rey, G. D., & Schmied, J. (2022). Towards a Vowel Formant Based Quality Metric for Text-to-Speech Systems: Measuring Monophthong Naturalness. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853712
  • Fietzek, T., Dinkelbach, H. Ü., & Hamker, F. H. (2022). ANNarchy - iCub: An Interface for Easy Interaction between Neural Network Models and the iCub Robot. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853699
  • Felbel, K., Dettmann, A., & Bullinger, A. C. (2022). Analysis of eye gaze given different automated driving styles in an urban environment. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853647
  • Feder, S., Bendixen, A., & Einhäuser, W. (2022). A hybrid control strategy for capturing cognitive processes in virtual reality (VR) in a natural and efficient way. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853646
  • Chiossi, F., Villa, S., Hauser, M., Welsch, R., & Chuang, L. L. (2022). Design of On-body Tactile Displays to Enhance Situation Awareness in Automated Vehicles. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853690
  • Winkler, S., Weidensager, N., Brade, J., Knopp, S., Jahn, G., & Klimant, P. (2022). Use of an automated guided vehicle as a telepresence system with measurement support. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853678
  • Hensch, A.-C., Beggiato, M., & Krems, J. F. (2022). Should I wait or should I go? – Deciphering Implicit Communication Cues for Cooperative Interactions in Left-Turn Scenarios. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853676
  • Figalová, N., Chuang, L. L., Pichen, J., Baumann, M., & Pollatos, O. (2022). Ambient Light Conveying Reliability Improves Drivers’ Takeover Performance without Increasing Mental Workload. Multimodal Technologies and Interaction, 6(9). https://doi.org/10.3390/mti6090073
  • Attig, C., & Franke, T. (2022). Why do people abandon activity trackers? The role of user diversity in discontinued use. International Journal of Human–Computer Interaction. https://doi.org/10.1080/10447318.2022.2067935
  • Krumm, D., Zenner, A., Sanseverino, G., & Odenwald, S. (2022). Recognition of Basic Gesture Components using Body-Attached Bending Sensors. In A. Spink, J. Barski, A.-M. Brouwer, G. Riedel, & A. Sil (Eds.), Volume 2 of the Proceedings of the joint 12th International Conference on Methods and Techniques in Behavioral Research and the 6th Seminar on Behavioral Methods (pp. 77-82). http://doi.org/10.6084/m9.figshare.20066849.v1
  • Hofmann, T., & Schwerdtfeger, U. (2022). Edge-connectivity matrices and their spectra. Linear Algebra and Its Applications, 640, 34-47. https://doi.org/10.1016/j.laa.2022.01.012
  • Sanseverino, G., Krumm, D., & Odenwald, S. (2022). A Framework for Virtual Evaluation of Body-Attached Sensor Networks. In C. Rizzi, F. Campana, M. Bici, F. Gherardini, T. Ingrassia, & P. Cicconi (Eds.), Design Tools and Methods in Industrial Engineering II. ADM 2021. Lecture Notes in Mechanical Engineering. (pp. 557-568). Cham: Springer. https://doi.org/10.1007/978-3-030-91234-5_56
  • Breitkreutz, C., Brade, J., Winkler, S., Bendixen, A., Klimant, P., & Jahn, G. (2022). Spatial Updating in Virtual Reality - Auditory and Visual Cues in a Cave Automatic Virtual Environment. 2022 IEEE Conference on Virtual Reality and 3D User Interfaces, 719-727. https://doi.org/10.1109/VR51125.2022.00093
  • Bautista-Quijano, Roberto, J., Ghrairi, K., Ben Atitallah, B., & Kanoun, O. (2022). Investigation and Implementation of Elastomer Filament Strain Sensors for Monitoring of Hand Gestures. 2021 International Workshop on Impedance Spectroscopy, 97-98. https://doi.org/10.1109/IWIS54661.2021.9711913
  • Ben Atitallah, B., Hu, Z., Bouchaala, D., Hussain, M. A., Ismail, A., Derbel, N., & Kanoun, O. (2022). Hand Sign Recognition System Based on EIT Imaging and Robust CNN Classification. IEEE Sensors Journal, 22(22). https://doi.org/10.1109/JSEN.2021.3130982
  • Göring, F., Hofmann, T., & Streicher, M. (2022). Uniformly connected graphs. Journal of Graph Theory. https://doi.org/10.1002/jgt.22820
  • Hafsa, M., Ben Atitallah, B., Ben Salah, T., Essoukri Ben Amara, N., & Kanoun, O. (2022). A Genetic Algorithm for Image Reconstruction in Electrical Impedance Tomography for Gesture Recognition. Technisches Messen, 89(5). https://doi.org/10.1515/teme-2021-0126
  • Hafsa, M., Atitallah, B. B., Ben Salah, T., Essoukri Ben Amara, N., & Kanoun, O. (2022). Hand Gesture Recognition based on Electrical Impedance Tomography Measurements using Genetic Algorithms. 2021 International Workshop on Impedance Spectroscopy, 123-125. https://doi.org/10.1109/IWIS54661.2021.9711814
  • Mandl, S., Bretschneider, M., Meyer, S., Gesmann-Nuissl, D., Asbrock, F., Meyer, B., & Strobel, A. (2022). Embodied Digital Technologies: First Insights in the Social and Legal Perception of Robots and Users of Prostheses. Frontiers in Robotics and AI, 9, 787970. https://doi.org/10.3389/frobt.2022.787970
  • Krumm, D., Buder, J., & Odenwald, S. (2022). Body-attached sensors for automatic detection of skating stroke events in speed skating. Engineering of Sport 14 Conference Proceedings. https://doi.org/10.5703/1288284317497
  • Munjal, R., Arif, S., Wendler, F., & Kanoun, O. (2022). Comparative Study of Machine-Learning Frameworks for the Elaboration of Feed-Forward Neural Networks by Varying the Complexity of Impedimetric Datasets Synthesized Using Eddy Current Sensors for the Characterization of Bi-Metallic Coins. Sensors, 4(22). https://doi.org/10.3390/s22041312
  • Potts, D., & Schmischke, M. (2022). Interpretable Transformed ANOVA Approximation on the Example of the Prevention of Forest Fires. Frontiers in Applied Mathematics and Statistics, 8, 795250. https://doi.org/10.3389/fams.2022.795250
  • Potts, D., & Schmischke, M. (2022). Learning multivariate functions with low-dimensional structures using polynomial bases. Journal of Computational and Applied Mathematics, 403, 113821. https://doi.org/10.1016/j.cam.2021.113821
  • Vecchiato, G., Ahlström, C., & Chuang, L. L. (2022). Editorial: Cognitive Mechanisms for Safe Road Traffic Systems. Frontiers in Neuroergonomics, 37, 897659. https://doi.org/10.3389/fnrgo.2022.897659
  • Hensch, A.-C., Kreißig, I., Beggiato, M., & Krems, J. F. (2022). The Effect of eHMI Malfunctions on Younger and Elderly Pedestrians’ Trust and Acceptance of Automated Vehicle Communication Signals. Frontiers in Psychology, 13, 866475. https://doi.org/10.3389/fpsyg.2022.866475
  • Chiossi, F., Welsch, R., Villa, S., Chuang, L., & Mayer, S. (2022). Virtual Reality Adaptation using Electrodermal Activity to Support User Experience. Big Data and Cognitive Computing, 6(2). https://doi.org/10.3390/bdcc6020055
  • Barioul, R., Madan Raju, R., Varghese, S., & Kanoun, O. (2022). Random Walk Binary Grey Wolf Optimization for feature selection in sEMG based hand gesture recognition. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853687
  • Hellara, H., Djemal, A., Barioul, R., Ramalingame, R., Ben Atitallah, B., Fricke, E., & Kanoun, O. (2022). Classification of Dynamic Hand Gestures using Multi Sensors Combinations. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853694
  • Gäbert, C., Djemal, A., Hellara, H., Atitallah, B. B., Ramalingame, R., Barioul, R., Salzseiler, D., Fricke, E., Kanoun, O., & Thomas, U. (2022). Gesture Based Symbiotic Robot Programming for Agile Production. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853686
  • Liu, C., Ben Atitallah, B., Ramalingame, R., Barioul, R., Djemal, A., Hellara, H., & Kanoun, O. (2022). A Hybrid Measurement System for Hand Signs Recognition based on EMG-FMG Measurements. 2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). https://doi.org/10.1109/CIVEMSA53371.2022.9853644
  • Taubert, S., Sternkopf, J., Kahl, S., & Eibl, M. (2022). A Comparison of Text Selection Algorithms for Sequence-to-Sequence Neural TTS. 2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). https://doi.org/10.1109/ICSPCC55723.2022.9984283
  • Gesmann-Nuissl, D., & Meyer, S. (2022). Siri 2.0—Conversational Commerce of Social Bots and the New Law of Obligations of Data: Explorations for the Benefit of Consumer Protection. Robotics, 11(6). https://doi.org/10.3390/robotics11060125
  • Pichler, A., & Schlotter, R. (2022). Risk-Averse Optimal Control in Continuous Time by Nesting Risk Measures. Mathematics of Operation Research. https://doi.org/10.1287/moor.2022.1314
  • Sanseverino, G., Krumm, D., Kilian, W., & Odenwald, S. (2022). Wearable Sensor Nodes for Automatic Detection of Hike Events and Parameters: A Pilot Study. Engineering of Sport 14 Conference Proceedings. https://doi.org/10.5703/1288284317538
  • Kanoun, O., Bouhamed, A., Nasraoui, S., Al-Hamry, A., Brahem, A., Lakshmanan, A., & Ramalingame, R. (2022). Potential of flexible and highly sensitive sensors based on polymer-carbon-nanomaterials composites: Towards a new generation of sensors. Tm - Technisches Messen, 89(12). https://doi.org/10.1515/teme-2022-0071
  • Jahn, K., Oschinsky, F., Kordyaka, B., Machulska, A., Eiler, T. J., Gruenewald, A., Klucken, T., Brueck, R., Gethmann, C. F., & Niehaves, B. (2022). Design elements in immersive virtual reality: The impact of object presence on health-related outcomes. Internet Research, 32(7). https://doi.org/10.1108/INTR-12-2020-0712
  • Bartel, F., Potts, D., & Schmischke, M. (2022). Grouped Transformations and Regularization in High-Dimensional Explainable ANOVA Approximation. SIAM Journal on Scientific Computing, 44(3). https://doi.org/10.1137/20M1374547
  • Brade, J., Winkler, S., Beisig, L. S., Flucke, J., Jasniewcz, L., Laaser, J., Seehars, A., Lorenz, M., Jahn, G., & Klimant, P. (2022). How Far is It? Distance Estimation and Reproduction Through a Double 3 Telepresence Robot. 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). https://doi.org/10.1109/ISMAR-Adjunct57072.2022.00151
  • Gäbert, C., & Thomas, U. (2022). Learning-based Adaptive Sampling for Manipulator Motion Planning. IEEE International Conference on Automation Science and Engineering (CASE), 715-721. https://doi.org/10.1109/CASE49997.2022.9926609
  • Hellara, H., Barioul, R., Choura, A., Sahnoun, S., Fakhfakh, A., Bouchaala, D., Deriche, M., & Kanoun, O. (2022). sEMG Features Selection by a Chaotic Salp Swarm Algorithm for Hand Gestures Classification. 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD). https://doi.org/10.1109/SSD54932.2022.9955800
  • Schwarz, S. A., & Thomas, U. (2022). Variable Impedance Control for Safety and Usability in Telemanipulation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). https://doi.org/10.1109/IROS47612.2022.9982118
  • Kircheis, M., Potts, D., & Tasche, M. (2022). On regularized Shannon sampling formulas with localized sampling. Sampling Theory, Signal Processing, and Data Analysis, 20(20). https://doi.org/10.1007/s43670-022-00039-1
  • Kircheis, M., Potts, D., & Tasche, M. (2022). Nonuniform fast Fourier transforms with nonequispaced spatial and frequency data and fast sinc transforms. Numerical Algorithms. https://doi.org/10.1007/s11075-022-01389-6
  • Kämmerer, L., Potts, D., & Taubert, F. (2022). The uniform sparse FFT with application to PDEs with random coefficients. Sampling Theory, Signal Processing, and Data Analysis, 20(2). https://doi.org/10.1007/s43670-022-00037-3
  • Bandi, C., & Thomas, U. (2022). Regression-Based 3D Hand Pose Estimation for Human-Robot Interaction. In K. Bouatouch, A. A. de Sousa, M. Chessa, A. Paljic, A. Kerren, C. Hurter, G. M. Farinella, P. Radeva, & J. Braz (Eds.), Computer Vision, Imaging and Computer Graphics Theory and Applications. VISIGRAPP 2020. (Vols. 1474, pp. 507-529). Springer. https://doi.org/10.1007/978-3-030-94893-1_24
  • Meyer, S., Albrecht, S., Eibl, M., Rey, G. D., Schmied, J., Tamboli, R., Taubert, S., & Gesmann-Nuissl, D. (2022). Untying the Gordian Knot: Legally Compliant Sound Data Collection and Processing for TTS Systems in China. In S. Schiffner, S. Ziegler, & A. Quesada Rodriguez (Eds.), Privacy Symposium 2022. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-031-09901-4_6
  • Farahani, A., Vitay, J., & Hamker, F. H. (2022). Deep Neural Networks for Geometric Shape Deformation. In R. Bergmann, L. Malburg, S. C. Rodermund, & I. J. Timm (Eds.), KI 2022: Advances in Artificial Intelligence. Lecture Notes in Computer Science (Vols. 13404, pp. 90-95). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-031-15791-2_9
  • Mandl, S., Bretschneider, M., Asbrock, F., Meyer, B., & Strobel, A. (2022). The Social Perception of Robots Scale (SPRS): Developing and Testing a Scale for Successful Interaction Between Humans and Robots. In L. M. Camarinha-Matos, A. Ortiz, X. Boucher, & A. L. Osório (Eds.), Collaborative Networks in Digitalization and Society 5.0. PRO-VE 2022. IFIP Advances in Information and Communication Technology (Vols. 662, pp. 321-334). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-031-14844-6_26
  • Bakaev, M., Heil, S., Chirkov, L., & Gaedke, M. (2022). Benchmarking Neural Networks-Based Approaches for Predicting Visual Perception of User Interfaces. In H. Degen & S. Ntoa (Eds.), Artificial Intelligence in HCI (Vols. 13336, pp. 217-231). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-031-05643-7_14
  • Felbel, K., Dettmann, A., Adelina, H., & Bullinger, A. C. (2022). Manoeuvre design in automated driving: Investigation of on-ramp situations under the variation of safety distances and traffic flow. In D. de Waard, S. H. Fairclough, K. A. Brookhuis, D. Manzey, L. Onnasch, A. Naumann, R. Wiczorek, F. Di Nocera, S. Röttger, & A. Toffetti (Eds.), Proceedings of the Human Factors and Ergonomics Society Europe Chapter 2022 Annual Conference. https://www.hfes-europe.org/wp-content/uploads/2022/05/Felbel2022.pdf
  • Rossner, P., Felbel, K., Dettmann, A., & Bullinger, A. C. (2022). Do you want me to shift lanes? – Investigating automated driving strategies in urban areas. In V. W. GmbH (Ed.), Fahrerassistenzsysteme und automatisiertes Fahren. VDI-Berichte (Vols. 2394, pp. 143-158). Düsseldorf, Germany: VDI Verlag. https://doi.org/10.51202/9783181023945-143
  • Caporaso, T., Sanseverino, G., Krumm, D., Grazioso, S., D’Angelo, R., Di Gironimo, G., Odenwald, S., & Lanzotti, A. (2022). Automatic Outcomes in Minnesota Dexterity Test Using a System of Multiple Depth Cameras. In S. Gerbino, A. Lanzotti, M. Martorelli, R. Mirálbes Buil, C. Rizzi, & L. Roucoules (Eds.), Advances on Mechanics, Design Engineering and Manufacturing IV. JCM 2022. Lecture Notes in Mechanical Engineering (pp. 286-293). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-031-15928-2_25
  • Sanseverino, G., Krumm, D., Kopnarski, L., Rudisch, J., Voelcker-Rehage, C., & Odenwald, S. (2022). Preliminary Validation of a Virtual Environment for Simulation and Recognition of Human Gestures. In S. Gerbino, A. Lanzotti, M. Martorelli, R. Mirálbes Buil, C. Rizzi, & L. Roucoules (Eds.), Advances on Mechanics, Design Engineering and Manufacturing IV. JCM 2022. Lecture Notes in Mechanical Engineering (pp. 605-613). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-031-15928-2_53
  • Bakaev, M., Speicher, M., Jagow, J., Heil, S., & Gaedke, M. (2022). We Don’t Need No Real Users?! Surveying the Adoption of User-less Automation Tools by UI Design Practitioners. In T. Di Noia, I.-Y. Ko, M. Schedl, & C. Ardito (Eds.), Web Engineering (Vols. 13362, pp. 406-414). Cham: Springer. https://doi.org/10.1007/978-3-031-09917-5_28
  • Ernst, O., Pichler, A., & Sprungk, B. (2022). Wasserstein Sensitivity of Risk and Uncertainty Propagation. SIAM Journal on Uncertainty Quantification, 10(3). https://doi.org/10.1137/20M1325459
  • Bretschneider, M., Mandl, S., Strobel, A., Asbrock, F., & Meyer, B. (2022). Social perception of embodied digital technologies—a closer look at bionics and social robotics. Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie (GIO). https://doi.org/10.1007/s11612-022-00644-7
  • Fricke, E. (2022). The Pragmatics of Gesture and Space. In A. H. Jucker & H. Hausendorf (Eds.), Pragmatics of Space. Handbook of Pragmatics (Vols. 14, pp. 363-397). Berlin, Germany: De Gruyter Mouton. https://doi.org/10.1515/9783110693713-012
  • Rothe, I. (2022). Die Transkription folgt den Daten. Multikonventionelles Transkribieren. In C. Schwarze & S. Grawunder (Eds.), Transkription und Annotation gesprochener Sprache und multimodaler Interaktion: Konzepte, Probleme, Lösungen (pp. 132-162). Tübingen, Germany: Narr Francke Attempto. https://elibrary.narr.digital/book/10.24053/9783823394693
  • Pentzold, C., & Rothe, I. (2022). Drawn into the future: The epistemic work of visual scenarios in the configuration of humen-robot encounters. Visual Communication. https://doi.org/10.1177/14703572221112676
  • Teichmann, M., Larisch, R., & Hamker, F. (2021). Performance of biologically grounded models of the early visual system on standard object recognition tasks. Neural Networks, 144, 210-228. https://doi.org/10.1016/j.neunet.2021.08.009
  • Krumm, D., Kuske, N., Neubert, M., Buder, J., Hamker, F., & Odenwald, S. (2021). Determining push-off forces in speed skating imitation drills. Sports Engineering Volume, 24, 25. https://doi.org/10.1007/s12283-021-00362-1
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