piwik-script

Deutsch Intern
    Institute of Computer Science

    Publications

    Publications by authors of the Institute of Computer Science

    You will only find publications by authors who manage their list of publications on www.bibsonomy.org. (and member of https://www.bibsonomy.org/group/csuniwue)

    [ 2022 ] [ 2021 ] [ 2020 ] [ 2019 ] [ 2018 ] [ 2017 ] [ 2016 ] [ 2015 ] [ 2014 ] [ 2013 ] [ 2012 ] [ 2011 ] [ 2010 ] [ 2009 ] [ 2008 ] [ 2007 ] [ 2006 ] [ 2005 ] [ 2004 ] [ 2003 ] [ 2002 ] [ 2001 ] [ 2000 ] [ 1999 ] [ 1998 ] [ 1997 ] [ 1996 ] [ 1995 ] [ 1988 ]

    2022 [ to top ]

    • 1.
      Evans, W.S., Fleszar, K., Kindermann, P., Saeedi, N., Shin, C.-S., Wolff, A.: Minimum Rectilinear Polygons for Given Angle Sequences. Computational Geometry: Theory and Applications. 100, 1–39 (2022).
       

    2021 [ to top ]

    • 1.
      Münster, S., Maiwald, F., Bruschke, J., Kröber, C., Dietz, R., Messemer, H., Niebling, F.: WHERE ARE WE NOW ON THE ROAD TO 4D URBAN HISTORY RESEARCH AND DISCOVERY?. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. VIII-M-1-2021, 109–116 (2021).
       
    • 2.
      Steinhaeusser, S.C., Gabel, J.J., Lugrin, B.: Your New Friend NAO vs. Robot No. 783 - Effects of Personal or Impersonal Framing in a Robotic Storytelling Use Case. In: Bethel, C., Paiva, A., Broadbent, E., Feil-Seifer, D., and Szafir, D. (eds.) Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2021). ACM (2021).
       
    • 3.
      Stauffert, J.-P., Korwisi, K., Niebling, F., Latoschik, M.E.: Ka-Boom!!! Visually Exploring Latency Measurements for XR. Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, Yokohama, Japan (2021).
       
    • 4.
      Supervisor: Grigorjew, A.: Comparison of Different TSN Shaping Strategies for Various Reservation Models, (2021).
       
    • 5.
      Loh, F., Geißler, S., Schaible, F., Hoßfeld, T.: Talk to Me: Investigating the Traffic Characteristics of Amazon Echo Dot and Google Home. International Conference on Communications and Electronics, ICCE (2021).
       
    • 6.
      Madeira, O., Gromer, D., Latoschik, M.E., Pauli, P.: Effects of Acrophobic Fear and Trait Anxiety on Human Behavior in a Virtual Elevated Plus-Maze. Frontiers in Virtual Reality. 2, 19 (2021).
       
    • 7.
      Funk, M.S.: Comparing Video QoE Models Using Subjective QoE Data Sets, (2021).
       
    • 8.
      Obremski, D., Lugrin, J.-L., Schaper, P., Lugrin, B.: Non-native speaker perception of Intelligent Virtual Agents in two languages: the impact of amount and type of grammatical mistakes. Journal on Multimodal User Interfaces. (2021).
       
    • 9.
      Appel, M., Lugrin, B., Kühle, M., Heindl, C.: The emotional robotic storyteller: On the influence of affect congruency on narrative transportation, robot perception, and persuasion. Computers in Human Behavior. 106749 (2021).
       
    • 10.
      Mara, M., Stein, J.-P., Latoschik, M.E., Lugrin, B., Schreiner, C., Hostettler, R., Appel, M.: User Responses to a Humanoid Robot Observed in Real Life, Virtual Reality, 3D and 2D. Frontiers in Psychology - Human-Media Interaction. 12, 1152 (2021).
       
    • 11.
      Winter, C., Kern, F., Gall, D., Latoschik, M.E., Pauli, P., Käthner, I.: Immersive virtual reality during gait rehabilitation increases walking speed and motivation: A usability evaluation with healthy participants and patients with multiple sclerosis and stroke. Journal of NeuroEngineering and Rehabilitation. 18, (2021).
       
    • 12.
      Donnermann, M., Schaper, P., Lugrin, B.: Towards Adaptive Robotic Tutors in Universities: A Field Study. International Conference on Persuasive Technology (PERSUASIVE 2021). Springer (2021).
       
    • 13.
      Supervisor: Metzger, F.: Comparative Smart City Simulation of LoRaWAN and NB-IoT, (2021).
       
    • 14.
      Hamzeheinejad, N., Roth, D., Monty, S., Breuer, J., Rodenberg, A., Latoschik, M.E.: The Impact of Implicit and Explicit Feedback on Performance and Experience during VR-Supported Motor Rehabilitation. 2021 IEEE Virtual Reality and 3D User Interfaces (VR). pp. 382–391. IEEE (2021).
       
    • 15.
      Supervisor: Metzger, F.: Accessible System Monitoring for Community LPWAN Networks, (2021).
       
    • 16.
      Grigorjew, A., Seufert, M., Wehner, N., Hofmann, J., Hoßfeld, T.: ML-Assisted Latency Assignments in Time-Sensitive Networking. IFIP/IEEE International Symposium on Integrated Network Management (IM 2021). , Bordeaux, France (Virtual Conference) (2021).
       
    • 17.
      Theiner, M.: Profiling the E2E Delays of Streamed Video Games with the Camera Method, (2021).
       
    • 18.
      Khelloqi, S.: Evaluation of Data Augmentation for Machine Learning on Network Traffic, (2021).
       
    • 19.
      Wieser, V.: Bandwidth Measurements in Mobile Scenarios using a Raspberry Pi, (2021).
       
    • 20.
      Supervisor: Loh, F.: Demand Study and Performance Evaluation of Future Smart City Networks, (2021).
       
    • 21.
      Arslanian, A.: QoE Study for Compatible Video and Web Browsing QoE Models, (2021).
       
    • 22.
      Sichermann, M.: Evaluting the Mobile Internet Experience in Bavaria from End User Perspective, (2021).
       
    • 23.
      An, S.H.: Investigation of Timed Gates for Predictable Latency in Dynamic Networks, (2021).
       
    • 24.
      Knaub, A.: Investigation of Stream Aggregates for Asynchronous Traffic Shaping, (2021).
       
    • 25.
      Wehner, N., Seufert, M., Schüler, J., Wassermann, S., Casas, P., Hoßfeld, T.: Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling. ACM SIGMETRICS Performance Evaluation Review. 48, 37–40 (2021).
       
    • 26.
      Wehner, N., Seufert, M., Wieser, V., Casas, P., Capdehourat, G.: Quality that Matters: QoE Monitoring in Education Service Provider (ESP) Networks. IFIP/IEEE International Symposium on Integrated Network Management (IM 2021). , Bordeaux, France (Virtual Conference) (2021).
       
    • 27.
      Schmitt, P.: Exploratory Comparison of Contemporary Cloud Gaming Services, (2021).
       
    • 28.
      Vomhoff, V.: Investigating IoT-centric signaling traffic at the MVNO Mobile Core - Modeling and Classification, (2021).
       
    • 29.
      Chaplick, S., Kindermann, P., Klawitter, J., Rutter, I., Wolff, A.: Extending Partial Representations of Rectangular Duals with Given Contact Orientations. In: Philippou, A. and Georgiou, C. (eds.) Proceedings of the 12th International Conference on Algorithms and Complexity (CIAC’21) (2021).
       
    • 30.
      Supervisor: Seufert, M.: Studying TCP/QUIC Performance for Competing Flow Access in a Testbed, (2021).
       
    • 31.
      Hirth, M., Seufert, M., Lange, S., Meixner, M., Tran-Gia, P.: Performance Evaluation of Hybrid Crowdsensing and Fixed Sensor Systems for Event Detection in Urban Environments. Sensors. 21, 5880 (1–19) (2021).
       
    • 32.
      Supervisor: Seufert, M.: Transfer Learning for QoE Monitoring of Encrypted Video Streaming Traffic, (2021).
       
    • 33.
      Schaper, P., Riedmann, A., Lugrin, B.: Internalisation of Situational Motivation in an E-Learning Scenario Using Gamification. International Conference on Artificial Intelligence in Education (AIED 2021). pp. 314–319. Springer (2021).
       
    • 34.
      Supervisor: Seufert, M.: Identifying User Behavior from Encrypted Video Streaming Traffic, (2021).
       
    • 35.
      Bartl, A., Wenninger, S., Wolf, E., Botsch, M., Latoschik, M.E.: Affordable but not Cheap: A Case Study of the Effects of Two 3D-Reconstruction Methods of Virtual Humans. Frontiers in Virtual Reality. 2, (2021).
       
    • 36.
      Wamser, F., Seufert, A., Hall, A., Wunderer, S., Hoßfeld, T.: Valid Statements by the Crowd: Statistical Measures for Precision in Crowdsourced Mobile Measurements. Network. 1, 215–232 (2021).
       
    • 37.
      Glémarec, Y., Lugrin, J.- luc, Bosser, A.-G., Buche, C., Latoschik, M.E.: Conference Talk Training With a Virtual Audience System. ACM Symposium on Virtual Reality Software and Technology. (2021).
       
    • 38.
      Bosch, Y., Schäfer, P., Spoerhase, J., Storandt, S., Zink, J.: Consistent Simplification of Polyline Tree Bundles. Proc. 27th International Computing and Combinatorics Conference (COCOON’21) (2021).
       
    • 39.
      Pimpinella, A., Redondi, A.E., Loh, F., Seufert, M.: Machine-Learning Based Prediction of Next HTTP Request Arrival Time in Adaptive Video Streaming. 3rd International Workshop on High-Precision, Predictable, and Low-Latency Networking (HiPNet). , Izmir, Turkey (Virtual Conference) (2021).
       
    • 40.
      Casas, P., Wassermann, S., Wehner, N., Seufert, M., Schüler, J., Hoßfeld, T.: Mobile Web and App QoE Monitoring for ISPs - from Encrypted Traffic to Speed Index through Machine Learning. 13th Wireless and Mobile Networking Conference (WMNC). , Montreal, Canada (Virtual Conference) (2021).
       
    • 41.
      Hein, R.M., Wienrich, C., Latoschik, M.E.: A Systematic Review of Foreign Language Learning with Immersive Technologies (2001-2020). AIMS Electronics and Electrical Engineering. 5, 117–145 (2021).
       
    • 42.
      Hein, R., Steinbock, J., Eisenmann, M., Latoschik, M.E., Wienrich, C.: Development of the InteractionSuitcase in virtual reality to support inter-and transcultural learning processes in English as Foreign Language education. DELFI 2021. (2021).
       
    • 43.
      Krop, P., Straka, S., Ullrich, M., Ertl, M., Latoschik, M.E.: IT-Supported request management for clinical radiology: Analyzing the Radiological Order Workflow through Contextual Interviews. Mensch und Computer 2021 (MuC ’21), September 5-8, 2021, Ingolstadt, Germany. pp. 1–7. Association for Computing Machinery, New York, NY, USA (2021).
       
    • 44.
      Bartl, A., Jung, S., Kullmann, P., Wenninger, S., Achenbach, J., Wolf, E., Schell, C., Lindeman, R.W., Botsch, M., Latoschik, M.E.: Self-Avatars in Virtual Reality: A Study Protocol for Investigating the Impact of the Deliberateness of Choice and the Context-Match. Proceedings of the 28th IEEE Virtual Reality conference (VR ’21). IEEE (2021).
       
    • 45.
      Dietz, K., Mühlhauser, M., Seufert, M., Gray, N., Hoßfeld, T., Herrmann, D.: Browser Fingerprinting: How to Protect Machine Learning Models and Data with Differential Privacy?. 1st International Workshop on Machine Learning in Networking (MaLeNe). , Lübeck, Germany (Virtual Conference) (2021).
       
    • 46.
      Seufert, A., Schröder, S., Seufert, M.: Delivering User Experience over Networks: Towards a Quality of Experience Centered Design Cycle for Improved Design of Networked Applications. SN Computer Science. 2, (2021).
       
    • 47.
      Arseneva, E., Kleist, L., Klemz, B., Löffler, M., Schulz, A., Vogtenhuber, B., Wolff, A.: Adjacency Graphs of Polyhedral Surfaces. In: Buchin, K. and Colin de Verdière, Éric (eds.) Proc. 37th Annu. Sympos. Comput. Geom. (SoCG’21). pp. 11:1–11:17. Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021).
       
    • 48.
      Seybold, J.: Examining the Netcode of Old, Open-sourced Video Games, (2021).
       
    • 49.
      Geiger, J., Cornelsen, S., Haunert, J.-H., Kindermann, P., Mchedlidze, T., Nöllenburg, M., Okamoto, Y., Wolff, A.: ClusterSets: Optimizing Planar Clusters in Categorical Point Data. Comput. Graphics Forum. 40, 471–481 (2021).
       
    • 50.
      Geissler, S., Lange, S., Tran-Gia, P., Hoßfeld, T.: Discrete-time Analysis of Multicomponent GI/GI/1 Queueing Networks. Conference on Networked Systems (NetSys) (2021).
       
    • 51.
      Supervisor: Dietz, K.: Comparison and Evaluation of Compatibility of Existing Data Sets for Intrusion Detection, (2021).
       
    • 52.
      Ebner, M.: Plausible Performance Prediction of Simulated SDN-enabled Networks via Machine Learning, (2021).
       
    • 53.
      Supervisor: Geissler, S.: Design and Implementation of a WebApp for the Performance Evaluation of VNF Chains, (2021).
       
    • 54.
      Supervisor: Loh, F.: Studying the Influence of Mobility in an IoT Network with LoRaWAN, (2021).
       
    • 55.
      Oberdörfer, S., Heidrich, D., Birnstiel, S., Latoschik, M.E.: Measuring the Effects of Virtual Environment Design on Decision-Making. Proceedings of the 28th IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VR ’21). pp. 442–443. IEEE (2021).
       
    • 56.
      Oberdörfer, S., Straka, S., Latoschik, M.E.: Effects of Immersion and Visual Angle on Brand Placement Effectiveness. Proceedings of the 28th IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VR ’21). pp. 440–441. IEEE (2021).
       
    • 57.
      Supervisor: Wehner, N.: QoE Monitoring using State-of-the-Art NLP Techniques, (2021).
       
    • 58.
      Supervisor: Seufert, M.: Performance Evaluation of Transfer Learning Approaches for QoE Estimation, (2021).
       
    • 59.
      Grigorjew, A., Gray, N., Hoßfeld, T.: Dynamic Real-Time Stream Reservation with TAS and Shared Time Windows. 2nd International Workshop on Time-Sensitive and Deterministic Networking (TENSOR) (2021).
       
    • 60.
      Döllinger, N., Wienrich, C., Latoschik, M.E.: Challenges and Opportunities of Immersive Technologies for Mindfulness Meditation: A Systematic Review. Frontiers in Virtual Reality. 2, 29 (2021).
       
    • 61.
      Schaper, P., Donnermann, M., Doser, N., Lein, M., Riedmann, A., Steinhaeusser, S.C., Karageorgos, P., Müller, B., Richter, T., Lugrin, B.: Towards a digital syllable-based reading intervention: An interview study with second-graders. British HCI Conference 2021 (BCS-HCI 2021) (2021).
       
    • 62.
      Metzger, F., Rafetseder, A., Schröder, S., Zwickl, P.: The Prospects of Cloud Gaming: Do the Benefits Outweigh the Costs?, (2021).
       
    • 63.
      Oberdörfer, S., Elsässer, A., Grafe, S., Latoschik, M.E.: Grab the Frog: Comparing Intuitive Use and User Experience of a Smartphone-only, AR-only, and Tangible AR Learning Environment. Proceedings of the 23rd International Conference on Mobile Human-Computer Interaction (MobileHCI ’21). (2021).
       
    • 64.
      Loh, F., Poignée, F., Wamser, F., Leidinger, F., Hoßfeld, T.: Uplink vs. Downlink: Machine Learning-Based Quality Prediction for HTTP Adaptive Video Streaming. Sensors. 21, 4172 (2021).
       
    • 65.
      Nguyen Huu, T., Trung Kien, N., Van Hoa, N., Thu Huong, T., Wamser, F., Hoßfeld, T.: Energy-Aware Service Function Chain Embedding in Edge-Cloud Environments for IoT Applications. IEEE Internet of Things Journal. (2021).
       
    • 66.
      Supervisor: Wehner, N.: Investigating the Relationship of Network Data Arrival and the Rendering Process in a Browser, (2021).
       
    • 67.
      Supervisor: Wehner, N.: Decentralized Virtualized Simulation Framework for Large Scale Web Browsing, (2021).
       
    • 68.
      Latoschik, M.E., Wienrich, C.: Coherence and Plausibility, not Presence?! Pivotal Conditions for XR Experiences and Effects, a Novel Model. arXiv. (2021).
       
    • 69.
      Antoniadis, A., Capretto, M., Chalermsook, P., Damerius, C., Kling, P., Nölke, L., Obscura, N., Spoerhase, J.: On Minimum Generalized Manhattan Connections. Proc. 17th Algorithms and Data Structures Symposium (WADS’21). pp. 85–100 (2021).
       
    • 70.
      Büttner, J., Merz, C., von Mammen, S.: Playing with Dynamic Systems - Battling Swarms in Virtual Reality. In: Castillo, P.A. and Jiménez Laredo, J.L. (eds.) Applications of Evolutionary Computation. pp. 309–324. Springer International Publishing, Cham (2021).
       
    • 71.
      Raies, Y., von Mammen, S.: A Swarm Grammar-Based Approach to Virtual World Generation. In: Romero, J., Martins, T., and Rodríguez-Fernández, N. (eds.) Artificial Intelligence in Music, Sound, Art and Design. pp. 459–474. Springer International Publishing, Cham (2021).
       
    • 72.
      Donnermann, M., Lein, M., Messingschlager, T., Riedmann, A., Schaper, P., Steinhaeusser, S., Lugrin, B.: Social robots and gamification for technology supported learning: An empirical study on engagement and motivation. Computers in Human Behavior. 121, 106792 (2021).
       
    • 73.
      Frank, F., Kaufmann, M., Kobourov, S., Mchedlidze, T., Pupyrev, S., Ueckerdt, T., Wolff, A.: Using the Metro-Map Metaphor for Drawing Hypergraphs. In: Bureš, T., Dondi, R., Gamper, J., Guerrini, G., Jurdziński, T., Pahl, C., Sikora, F., and Wong, P. (eds.) Proc. 47th Int. Conf. Current Trends Theory & Practice Comput. Sci. (SOFSEM’21). pp. 361–372. Springer-Verlag (2021).
       
    • 74.
      Zehe, A., Konle, L., Dümpelmann, L., Gius, E., Hotho, A., Jannidis, F., Kaufmann, L., Krug, M., Puppe, F., Reiter, N., Schreiber, A., Wiedmer, N.: Detecting Scenes in Fiction: A new Segmentation Task. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers. ACL (2021).
       
    • 75.
      Kern, F., Kullmann, P., Ganal, E., Korwisi, K., Stingl, R., Niebling, F., Latoschik, M.E.: Off-The-Shelf Stylus: Using XR Devices for Handwriting and Sketching on Physically Aligned Virtual Surfaces. Frontiers in Virtual Reality. 2, 69 (2021).
       
    • 76.
      Metzger, F., Stulier, N., Borchert, K., Hirth, M.: Relationship Status: It’s Complicated. Using APM as a QoE-qualifying Tempo Metric. Proceedings of the 13th International Conference on Quality of Multimedia Experience (QoMEX 2021) (2021).
       
    • 77.
      Grigorjew, A., Baier, C., Metzger, F., Hoßfeld, T.: Distributed Implementation of Deterministic Networking in Existing Non-TSN Ethernet Switches. Workshop on Time-sensitive and Deterministic Networking (TsDN) (2021).
       
    • 78.
      Tran, H.T., Pham Ngoc, N., Hoßfeld, T., Seufert, M., Thang, T.C.: Cumulative Quality Modeling for HTTP Adaptive Streaming. ACM Transactions on Multimedia Computing, Communications, and Applications. 17, 22 (1–24) (2021).
       
    • 79.
      Gray, N., Dietz, K., Seufert, M., Hoßfeld, T.: High Performance Network Metadata Extraction Using P4 for ML-Based Intrusion Detection Systems. 22nd International Conference on High Performance Switching and Routing (HPSR). , Paris, France (Virtual Conference) (2021).
       
    • 80.
      Hoßfeld, T., Seufert, M., Naderi, B.: On Inter-Rater Reliability for Crowdsourced QoE. 13th International Conference on Quality of Multimedia Experience (QoMEX). , Montreal, Canada (Virtual Conference) (2021).
       
    • 81.
      Orsolic, I., Seufert, M.: On Machine Learning based Video QoE Estimation Across Different Networks. 16th International Conference on Telecommunications (ConTEL), Best Paper Award. , Zagreb, Croatia (Virtual Conference) (2021).
       
    • 82.
      Schüler, J.: Real-time Video QoE Estimation for Network Management based on Feature Calculation on a 100Gbps Programmable Data Plane, (2021).
       
    • 83.
      Glémarec, Y., Lugrin, J.-L., Bosser, A.-G., Collins Jackson, A., Buche, C., Latoschik, M.E.: Indifferent or Enthusiastic? Virtual Audiences Animation and Perception in Virtual Reality. Frontiers in Virtual Reality. 2, 72 (2021).
       
    • 84.
      Seufert, A., Wamser, F., Wunderer, S., Hall, A., Hoßfeld, T.: Trust but Verify: Crowdsourced Mobile Network Measurements and Statistical Validity Measures. 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit). , Porto, Portugal (virtual conference) (2021).
       
    • 85.
      Seufert, A., Wamser, F., Yarish, D., Macdonald, H., Hoßfeld, T.: QoE Models in the Wild: Comparing Video QoE Models Using a Crowdsourced Data Set. 2021 13th International Conference on Quality of Multimedia Experience (QoMEX). , Montreal, Canada (virtual conference) (2021).
       
    • 86.
      Supervisor: Loh, F.: A Simulative Approach to Study the Coverage of LoRaWAN in Würzburg, (2021).
       
    • 87.
      Leidinger, F.: Measuring the Effectiveness of Latency Mitigation Methods with a Prototype Video Game, (2021).
       
    • 88.
      Supervisor: Seufert, M.: Data Augmentation of Network Traffic Traces, (2021).
       
    • 89.
      Halbig, A., Latoschik, M.E.: A Systematic Review of Physiological Measurements, Factors, Methods, and Applications in Virtual Reality. Frontiers in Virtual Reality. 2, 89 (2021).
       
    • 90.
      Supervisor: Seufert, M.: Comparison of Web and Video QoE Perception, (2021).
       
    • 91.
      Schweifler, R.: Evaluating the Impact of Browsing Delays on the QoE of Music Streaming, (2021).
       
    • 92.
      Geißler, S., Wamser, F., Bauer, W., Krolikowski, M., Gebert, S., Hoßfeld, T.: Signaling Traffic in Internet-of-Things Mobile Networks. IFIP/IEEE International Symposium on Integrated Network Management (IM 2021). , Bordeaux, France (Virtual Conference) (2021).
       
    • 93.
      Wolf, E., Merdan, N., Döllinger, N., Mal, D., Wienrich, C., Botsch, M., Latoschik, M.E.: The Embodiment of Photorealistic Avatars Influences Female Body Weight Perception in Virtual Reality. Proceedings of the 28th IEEE Virtual Reality Conference (VR ’21) (2021).
       
    • 94.
      Supervisor: Loh, F.: Studying mobility in a LoRaWAN Network, (2021).
       
    • 95.
      Supervisor: Wehner, N.: Flow-based Web QoE Monitoring for Encrypted Network Traffic, (2021).
       
    • 96.
      Walter, J., Zink, J., Baumeister, J., Wolff, A.: Layered Drawing of Undirected Graphs with Generalized Port Constraints. In: Auber, D. and Valtr, P. (eds.) Proc. 28th Int. Symp. Graph Drawing & Network Vis. (GD’20). pp. 220–234. Springer-Verlag (2021).
       
    • 97.
      Steinhaeusser, S.C., Schaper, P., Lugrin, B.: Comparing a Robotic Storyteller versus Audio Book with Integration of Sound Effects and Background Music. In: Bethel, C., Paiva, A., Broadbent, E., Feil-Seifer, D., and Szafir, D. (eds.) Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2021). ACM (2021).
       
    • 98.
      Wienrich, C., Latoschik, M.E.: eXtended Artificial Intelligence: New Prospects of Human-AI Interaction Research. arXiv. (2021).
       
    • 99.
      Oberdörfer, S., Birnstiel, S., Latoschik, M.E., Grafe, S.: Mutual Benefits: Interdisciplinary Education of Pre-Service Teachers and HCI Students in VR/AR Learning Environment Design. Frontiers in Education. 6, 233 (2021).
       
    • 100.
      Supervisor: Wehner, N.: Evaluating the Interaction between Web and Video QoE with Crowdsourcing, (2021).
       
    • 101.
      Unruh, F., Landeck, M., Oberdörfer, S., Lugrin, J.-L., Latoschik, M.E.: The Influence of Avatar Embodiment on Time Perception - Towards VR for Time-Based Therapy. Frontiers in Virtual Reality. 2, 71 (2021).
       
    • 102.
      Supervisor: Wehner, N.: Towards a Low Latency QoE Fair HAS Logic, (2021).
       
    • 103.
      Dallmann, A., Zoller, D., Hotho, A.: A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models. Fifteenth ACM Conference on Recommender Systems. ACM (2021).
       
    • 104.
      Fischer, E., Zoller, D., Hotho, A.: Comparison of Transformer-Based Sequential Product Recommendation Models for the Coveo Data Challenge. SIGIR Workshop On eCommerce. (2021).
       
    • 105.
      Steininger, M., Kobs, K., Davidson, P., Krause, A., Hotho, A.: Density-based weighting for imbalanced regression. Machine Learning. (2021).
       
    • 106.
      Supervisor: Wehner, N.: Modelling Web QoE with Gradient Based Features and Crowdsourcing, (2021).
       
    • 107.
      Wehner, N., Seufert, M., Schüler, J., Casas, P., Hoßfeld, T.: How are your Apps Doing? QoE Inference and Analysis in Mobile Devices. 17th International Conference on Network and Service Management (CNSM). , Izmir, Turkey (Virtual Conference) (2021).
       
    • 108.
      Supervisor: Wehner, N.: Multi Agent Reinforcement Learning for Port Configuration of Time-Sensitive-Networking, (2021).
       
    • 109.
      Steinhaeusser, S.C., Schaper, P., Akuffo, O.B., Friedrich, P., Ön, J., Lugrin, B.: Anthropomorphize me! - Effects of Robot Gender on Listeners’ Perception of the Social Robot NAO in a Storytelling Use Case. In: Bethel, C., Paiva, A., Broadbent, E., Feil-Seifer, D., and Szafir, D. (eds.) Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2021). ACM (2021).
       
    • 110.
      Metzger, F., Schröder, S., Ratetseder, A.: Subjective And Objective Assessment Of Video Game Context Factors, (2021).
       
    • 111.
      Oberdörfer, S., Heidrich, D., Birnstiel, S., Latoschik, M.E.: Enchanted by Your Surrounding? Measuring the Effects of Immersion and Design of Virtual Environments on Decision-Making. Frontiers in Virtual Reality. 2, 101 (2021).
       
    • 112.
      Gall, D., Roth, D., Stauffert, J.-P., Zarges, J., Latoschik, M.E.: Virtual Body Ownership Intensifies Emotional Responses to Virtual Stimuli. Frontiers in Psychology - Cognitive Science. 12, 3833 (2021).
       
    • 113.
      Ripka, G., Grafe, S., Latoschik, M.E.: Peer group supervision in Zoom and social VR-Preparing preservice teachers for planning and designing digital media integrated classes. EdMedia+ Innovate Learning. pp. 602–616. Association for the Advancement of Computing in Education (AACE) (2021).
       
    • 114.
      Korger, A., Baumeister, J.: Rule-based Semantic Relation Extraction in Regulatory Documents. Learning. Knowledge. Data. Analytics. , Munich, Germany (2021).
       
    • 115.
      Chaplick, S., Kindermann, P., Klawitter, J., Rutter, I., Wolff, A.: Extending Partial Representations of Rectangular Duals with Given Contact Orientations. In: Calamoneri, T. and Coró, F. (eds.) Proc. 12th International Conference on Algorithms and Complexity (CIAC’21). pp. 340–353. Springer-Verlag (2021).
       

    2020 [ to top ]

    • 1.
      Deublein, A., Lugrin, B.: (Expressive) Social Robot or Tablet? – On the Benefits of Embodiment and Non-verbal Expressivity of the Interface for a Smart Environment. In: S., G.-H., T., J., and C., M. (eds.) International Conference on Persuasive Technology (PERSUASIVE 2020). Springer (2020).
       
    • 2.
      Lindner, S., Latoschik, M.-E., Rittner, H.: Virtual Reality als Baustein in der Behandlung akuter und chronischer Schmerzen. AINS-Anästhesiologietextperiodcentered Intensivmedizintextperiodcentered Notfallmedizintextperiodcentered Schmerztherapie. 55, 549–561 (2020).
       
    • 3.
      Fischer, E., Zoller, D., Dallmann, A., Hotho, A.: Integrating Keywords into BERT4Rec for Sequential Recommendation. KI 2020: Advances in Artificial Intelligence. pp. 275–282. Springer International Publishing, Cham (2020).
       
    • 4.
      Schlör, D., Ring, M., Hotho, A.: iNALU: Improved Neural Arithmetic Logic Unit. Frontiers in Artificial Intelligence. 3, 71 (2020).
       
    • 5.
      Davidson, P., Düking, P., Zinner, C., Sperlich, B., Hotho, A.: Smartwatch-Derived Data and Machine Learning Algorithms Estimate Classes of Ratings of Perceived Exertion in Runners: A Pilot Study. Sensors. (2020).
       
    • 6.
      Seufert, M., Wehner, N., Wieser, V., Casas, P., Capdehourat, G.: Mind the (QoE) Gap: On the Incompatibility of Web and Video QoE Models in the Wild. 16th International Conference on Network and Service Management (CNSM). , Izmir, Turkey (2020).
       
    • 7.
      Glémarec, Y., Lugrin, J.-L., Bosser, A.-G., Cagniat, P., Buche, C., Latoschik, M.E.: Pushing Out the Classroom Walls: A Scalability Benchmark for a Virtual Audience Behaviour Model in Virtual Reality. (2020).
       
    • 8.
      Roth, D., Latoschik, M.E.: Construction of the Virtual Embodiment Questionnaire (VEQ). IEEE Transactions on Visualization and Computer Graphics (TVCG). 26, 3546–3556 (2020).
       
    • 9.
      Wassermann, S., Casas, P., Ben Houidi, Z., Huet, A., Seufert, M., Wehner, N., Schüler, J., Cai, S.-M., Shi, H., Xu, J., Hoßfeld, T., Rossi, D.: Are you on Mobile or Desktop? On the Impact of End-User Device on Web QoE Inference from Encrypted Traffic. 16th International Conference on Network and Service Management (CNSM). , Izmir, Turkey (2020).
       
    • 10.
      Landeck, M., Unruh, F., Lugrin, J.-L., Latoschik, M.E.: Metachron: A framework for time perception research in VR. Proceedings of the 26th ACM Conference on Virtual Reality Software and Technology (2020).
       
    • 11.
      Carolin, W., Eisenmann, M., Latoschik, M.E., Grafe, S.: CoTeach – Connected Teacher Education. In: Schwaiger, M. (ed.) Boosting Virtual Reality in Learning. E.N.T.E.R (2020).
       
    • 12.
      Ganal, E., Bartl, A., Westermeier, F., Roth, D., Latoschik, M.E.: Developing a Study Design on the Effects of Different Motion Tracking Approaches on the User Embodiment in Virtual Reality. In: Hansen, C., Nürnberger, A., and Preim, B. (eds.) Mensch und Computer 2020. Gesellschaft für Informatik e.V (2020).
       
    • 13.
      Donnermann, M., Schaper, P., Lugrin, B.: Integrating a Social Robot in Higher Education – A Field Study. 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2020). pp. 573–579 (2020).
       
    • 14.
      Wassermann, S., Seufert, M., Casas, P., Li, G., Kuang, L.: ViCrypt to the Rescue: Real-time, Machine-Learning-driven Video-QoE Monitoring for Encrypted Streaming Traffic. IEEE Transactions on Network and Service Management. 17, 2007–2023 (2020).
       
    • 15.
      Poignée, F.: Machine Learning Approach to Predict Video Streaming Behavior at Network Layer, (2020).
       
    • 16.
      Metzger, F.: Crowdsensed QoE for the community - a concept to make QoE assessment accessible, (2020).
       
    • 17.
      Münster, S., Maiwald, F., Lehmann, C., Lazariv, T., Hofmann, M., Niebling, F.: An Automated Pipeline for a Browser-Based, City-Scale Mobile 4D VR Application Based on Historical Images. Proceedings of the 2nd Workshop on Structuring and Understanding of Multimedia HeritAge Contents. pp. 33–40. Association for Computing Machinery, Seattle, WA, USA (2020).
       
    • 18.
      Wehner, N.: Inferring Web QoE with Machine Learning from Encrypted Network Traffic. , 2nd KuVS Workshop on Machine Learning for Networking, Würzburg, Germany (2020).
       
    • 19.
      Loh, F., Wamser, F., Moldovan, C., Zeidler, B., Tsilimantos, D., Valentin, S., Hoßfeld, T.: Is the Uplink Enough? Estimating Video Stalls from Encrypted Network Traffic. 32th IEEE/IFIP Network Operations and Management Symposium. , Budapest, Hungary (2020).
       
    • 20.
      Steinhaeusser, S.C., Lugrin, B.: Horror Laboratory and Forest Cabin - A Horror Game Series for Desktop Computer, Virtual Reality, and Smart Substitutional Reality. Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play. ACM (2020).
       
    • 21.
      Gall, D., Preßler, J., Hurtienne, J., Latoschik, M.E.: Self-organizing knowledge management might improve the quality of person-centered dementia care: A qualitative study. International Journal of Medical Informatics. 139, 104132 (2020).
       
    • 22.
      Wehner, N., Seufert, M., Egger-Lampl, S., Gardlo, B., Casas, P., Schatz, R.: Scoring High: Analysis and Prediction of Viewer Behavior and Engagement in the Context of 2018 FIFA WC Live Streaming. Proceedings of the 28th ACM International Conference on Multimedia (MM). , Seattle, WA, USA (2020).
       
    • 23.
      Korger, A., Baumeister, J.: Construction of a Corpus for the Evaluation of Textual Case-based Reasoning Architectures. LWDA 2020 -- Lernen, Wissen, Daten, Analysen (2020).
       
    • 24.
      Kobs, K., Koopmann, T., Zehe, A., Fernes, D., Krop, P., Hotho, A.: Where to Submit? Helping Researchers to Choose the Right Venue. Findings of the Association for Computational Linguistics: EMNLP 2020. pp. 878–883. Association for Computational Linguistics, Online (2020).
       
    • 25.
      Wehner, N.: Scoring High: Analysis and Prediction of Viewer Behavior and Engagement in the Context of 2018 FIFA WC Live Streaming. , Proceedings of the 28th ACM International Conference on Multimedia (MM), Seattle, WA, USA (2020).
       
    • 26.
      Kobs, K., Koopmann, T., Zehe, A., Fernes, D., Krop, P., Hotho, A.: Where to Submit? Helping Researchers to Choose the Right Venue. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings. pp. 878–883. Association for Computational Linguistics, Online (2020).
       
    • 27.
      Peng, D., Wolff, A., Haunert, J.-H.: Finding Optimal Sequences for Area Aggregation – A* vs. Integer Linear Programming. ACM Transactions on Spatial Algorithms and Systems. 7, (2020).
       
    • 28.
      Wehner, N., Seufert, M., Schüler, J., Wassermann, S., Casas, P., Hoßfeld, T.: Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling. 2nd Workshop on AI in Networks and Distributed Systems (WAIN). , Milan, Italy (2020).
       
    • 29.
      Wenninger, S., Achenbach, J., Bartl, A., Latoschik, M.E., Botsch, M.: Realistic Virtual Humans from Smartphone Videos. In: Teather, R.J., Joslin, C., Stuerzlinger, W., Figueroa, P., Hu, Y., Batmaz, A.U., Lee, W., and Ortega, F. (eds.) VRST. pp. 29:1–29:11. ACM (2020).
       
    • 30.
      Schwind, A., Wamser, F., Hoßfeld, T., Wunderer, S., Tarnvik, E., Hall, A.: Crowdsourced Network Measurements in Germany: Mobile Internet Experience from End User Perspective. Broadband Coverage in Germany; 14. ITG Symposium. , Berlin (2020).
       
    • 31.
      Zimmerer, C., Heinrich, R., Fischbach, M., Lugrin, J.-L., Latoschik, M.E.: Computing Object Selection Difficulty in VR Using Run-Time Contextual Analysis. 26th ACM Symposium on Virtual Reality Software and Technology. Association for Computing Machinery, Virtual Event, Canada (2020).
       
    • 32.
      Kindermann, P., Mchedlidze, T., Meulemans, W., Rutter, I.: Graph Drawing Contest Report. In: Auber, D. and Valtr, P. (eds.) Proc. 28th International Symposium on Graph Drawing and Network Visualization (GD’20) (2020).
       
    • 33.
      Zimmerer, C., Wolf, E., Wolf, S., Fischbach, M., Lugrin, J.-L., Latoschik, M.E.: Finally on Par?! Multimodal and Unimodal Interaction for Open Creative Design Tasks in Virtual Reality. Proceedings of the 2020 International Conference on Multimodal Interaction. pp. 222–231. Association for Computing Machinery, Virtual Event, Netherlands (2020).
       
    • 34.
      Lugrin, B., Ströle, E., Obremski, D., Schwab, F., Lange, B.: What if it speaks like it was from the village? Effects of a Robot speaking in Regional Language Variations on Users’ Evaluations. 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2020). pp. 1315–1320 (2020).
       
    • 35.
      Obremski, D., Wienrich, C., Carolus, A.: What the user’s voice tells us about UX - Analysing parameters of the voice as indicators of the User Experience of the usage of intelligent voice assistants. Presented at the (2020).
       
    • 36.
      Wißmann, N., Mišiak, M., Fuhrmann, A., Latoschik, M.E.: Accelerated Stereo Rendering with Hybrid Reprojection-Based Rasterization and Adaptive Ray-Tracing. Proceedings of the 27th IEEE Virtual Reality conference (IEEE VR ’20) (2020).
       
    • 37.
      Gall, D., Latoschik, M.E.: Visual angle modulates affective responses to audiovisual stimuli. Computers in Human Behavior. 109, 106346 (2020).
       
    • 38.
      Supervisor: Metzger, F.: Designing a Realistic Virtual AQM Testbench, (2020).
       
    • 39.
      Arseneva, E., Kleist, L., Klemz, B., Löffler, M., Schulz, A., Vogtenhuber, B., Wolff, A.: Representing Graphs by Polygons with Edge Contacts in 3D. In: Chaplick, S., Kindermann, P., and Wolff, A. (eds.) Proc. 36th European Workshop on Computational Geometry (EuroCG’20). pp. 53:1–8 (2020).
       
    • 40.
      Münster, S., Niebling, F., Bruschke, J., Barthel, K., Friedrichs, K., Kröber, C., Maiwald, F.: Urban History Research and Discovery in the Age of Digital Repositories. A Report About Users and Requirements. In: Kremers, H. (ed.) Digital Cultural Heritage. pp. 63–84. Springer International Publishing, Cham (2020).
       
    • 41.
      Korger, A., Baumeister, J.: Case-Based Generation of Regulatory Documents and their Semantic Relatedness. Proceedings of the Future of Information and Communications Conference (FICC) 2020. Springer, San Francisco (2020).
       
    • 42.
      Fehler, H.: Comparison of Web QoE Algorithms on Different Devices, (2020).
       
    • 43.
      Bucher, K., Oberdörfer, S., Grafe, S., Latoschik, M.E.: Von Medienbeiträgen und Applikationen - ein interdisziplinäres Konzept zum Lehren und Lernen mit Augmented und Virtual Reality für die Hochschullehre. In: Knaus, T. and Merz, O. (eds.) Schnittstellen und Interfaces - Digitaler Wandel in Bildungseinrichtungen. pp. 225–238. kopaed, Munich, Germany (2020).
       
    • 44.
      Berani, S.: Fingerprinting Websites in Encrypted Network Traffic, (2020).
       
    • 45.
      Supervisor: Loh, F.: Studying the Scalability of LoRaWAN with Omnet++, (2020).
       
    • 46.
      Kaufmann, M., Kratochvil, J., Lipp, F., Montecchiani, F., Raftopoulou, C., Valtr, P.: The Stub Resolution of 1-Planar Graphs. In: Rahman, M.S., Sadakane, K., and Sung, W.-K. (eds.) WALCOM: Algorithms and Computation. pp. 170–182. Springer (2020).
       
    • 47.
      Kargl, J.: Analysis of QoE Aspects of 3D Point Cloud Reduction, (2020).
       
    • 48.
      Firman, O., Felsner, S., Kindermann, P., Ravsky, A., Wolff, A., Zink, J.: The Complexity of Finding Tangles. In: Chaplick, S., Kindermann, P., and Wolff, A. (eds.) Proc. 36th European Workshop on Computational Geometry (EuroCG’20). pp. 67:1–8 (2020).
       
    • 49.
      Oberdörfer, S., Heidrich, D., Latoschik, M.E.: Think Twice: The Influence of Immersion on Decision Making during Gambling in Virtual Reality. Proceedings of the 27th IEEE Virtual Reality conference (VR ’20). pp. 483–492. IEEE, Atlanta, USA (2020).
       
    • 50.
      Schwind, A., Moldovan, C., Janiak, T., Dworschak, N.-D., Hoßfeld, T.: Don’t Stop the Music: Crowdsourced QoE Assessment of Music Streaming with Stalling. 12th International Conference on Quality of Multimedia Experience (QoMEX). , Athlone, Ireland (2020).
       
    • 51.
      Byrka, J., Lewandowski, M., Meesum, S.M., Spoerhase, J., Uniyal, S.: PTAS for Steiner Tree on Map Graphs. Proc. 14th Latin American Theoretical Informatics Symposium (LATIN’20) (2020).
       
    • 52.
      Evans, W., Gethner, E., Spalding-Jamieson, J., Wolff, A.: Angle Covers: Algorithms and Complexity. In: Rahman, S., Sadakane, K., and Sung, W.-K. (eds.) Proc. 14th Int. Workshop Algorithms Comput. (WALCOM’20). pp. 94–106. Springer-Verlag (2020).