English Intern
    Institut für Informatik


    Veröffentlichungen von Autoren des Instituts für Informatik

    Diese Liste ist noch sehr unvollständig. Es erscheinen nur Veröffentlichungen von Autoren, die ihre Publikationsliste über www.bibsonomy.org verwalten (und Mitglied der Gruppe https://www.bibsonomy.org/group/csuniwue sind).

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    2022 [ nach oben ]

    • 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 [ nach oben ]

    • 1.
      Supervisor: Wehner, N.: Designing a Tool for Configurable Webpage Loading Behavior in the Wild, (2021).
    • 2.
      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).
    • 3.
      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).
    • 4.
      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).
    • 5.
      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).
    • 6.
      Supervisor: Wehner, N.: Towards a Low Latency QoE Fair HAS Logic, (2021).
    • 7.
      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).
    • 8.
      Khelloqi, S.: Evaluation of Data Augmentation for Machine Learning on Network Traffic, (2021).
    • 9.
      Metzger, F., Rafetseder, A., Schröder, S., Zwickl, P.: The Prospects of Cloud Gaming: Do the Benefits Outweigh the Costs?, (2021).
    • 10.
      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).
    • 11.
      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).
    • 12.
      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. S. 602–616. Association for the Advancement of Computing in Education (AACE) (2021).
    • 13.
      Korger, A., Baumeister, J.: Rule-based Semantic Relation Extraction in Regulatory Documents. Learning. Knowledge. Data. Analytics. , Munich, Germany (2021).
    • 14.
      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).
    • 15.
      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).
    • 16.
      Hein, R.M., 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).
    • 17.
      Metzger, F., Schröder, S., Ratetseder, A.: Subjective And Objective Assessment Of Video Game Context Factors, (2021).
    • 18.
      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).
    • 19.
      Raies, Y., von Mammen, S.: A Swarm Grammar-Based Approach to Virtual World Generation. In: Romero, J., Martins, T., und Rodríguez-Fernández, N. (hrsg.) Artificial Intelligence in Music, Sound, Art and Design. S. 459–474. Springer International Publishing, Cham (2021).
    • 20.
      Büttner, J., Merz, C., von Mammen, S.: Playing with Dynamic Systems - Battling Swarms in Virtual Reality. In: Castillo, P.A. und Jiménez Laredo, J.L. (hrsg.) Applications of Evolutionary Computation. S. 309–324. Springer International Publishing, Cham (2021).
    • 21.
      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). S. 85–100 (2021).
    • 22.
      Latoschik, M.E., Wienrich, C.: Coherence and Plausibility, not Presence?! Pivotal Conditions for XR Experiences and Effects, a Novel Model. arXiv. (2021).
    • 23.
      Supervisor: Wehner, N.: Decentralized Virtualized Simulation Framework for Large Scale Web Browsing, (2021).
    • 24.
      Engelbrecht, T.: Investigating the Relationship of Network Data Arrival and the Rendering Process in Chrome, (2021).
    • 25.
      Wienrich, C., Latoschik, M.E.: eXtended Artificial Intelligence: New Prospects of Human-AI Interaction Research. arXiv. (2021).
    • 26.
      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., und Szafir, D. (hrsg.) Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2021). ACM (2021).
    • 27.
      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).
    • 28.
      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., und Szafir, D. (hrsg.) Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2021). ACM (2021).
    • 29.
      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).
    • 30.
      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).
    • 31.
      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. S. 1–7. Association for Computing Machinery, New York, NY, USA (2021).
    • 32.
      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).
    • 33.
      Lugrin, B., Rehm, M.: Culture for Socially Interactive Agents. Gehalten auf der (2021).
    • 34.
      Supervisor: Seufert, M.: Models for Group Communication Behavior under Mobility, (2021).
    • 35.
      Supervisor: Wehner, N.: Quantifying the Influence of Consent Banners on Web QoE with Crowdsourcing, (2021).
    • 36.
      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).
    • 37.
      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).
    • 38.
      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). S. 314–319. Springer (2021).
    • 39.
      Hein, R.M., Steinbock, J., Eisenmann, M., Wienrich, C., Latoschik, M.E.: Inter- und Transkulturelles Lernen in Virtual Reality - Ein Seminarkonzept für die Lehrkräfteausbildung im Fach Englisch. In: Söbke, H. & Weise, M. (Hrsg.), Wettbewerbsband AVRiL 2021. 34–39 (2021).
    • 40.
      Supervisor: Seufert, M.: Design and Comparison of Heuristic- and DL-based Estimators of QoE Factors from Visual Recordings, (2021).
    • 41.
      Loh, F., Mehling, N., Metzger, F., Hoßfeld, T.: LoRaPlan: A Software to Evaluate Gateway Placement in LoRaWAN. 17th International Conference on Network and Service Management. (2021).
    • 42.
      Loh, F., Bau, D., Zink, J., Wolff, A., Hoßfeld, T.: Robust Gateway Placement for Scalable LoRaWAN. 13th IFIP Wireless and Mobile Networking Conference (WMNC) (2021).
    • 43.
      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).
    • 44.
      Plabst, L., Oberdörfer, S., Happel, O., Niebling, F.: Visualisation methods for patient monitoring in anaesthetic procedures using augmented reality. VRST ’21: 27th ACM Symposium on Virtual Reality Software and Technology, Osaka, Japan, December 2021 (2021).
    • 45.
      Lugrin, B., Pelachaud, C., Traum, D. hrsg.: The Handbook on Socially Interactive Agents. ACM (2021).
    • 46.
      Lugrin, B.: Introduction to Socially Interactive Agents. Gehalten auf der (2021).
    • 47.
      Fernes, D., Oberdörfer, S., Latoschik, M.E.: Recreating a Medieval Mill as a Virtual Learning Environment. 27th ACM Symposium on Virtual Reality Software and Technology (VRST ’21). ACM, Osaka, Japan (2021).
    • 48.
      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).
    • 49.
      Loh, F., Raffeck, S., Metzger, F., Hoßfeld, T.: Improving LoRaWAN’s Successful Information Transmission Rate with Redundancy. 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (2021).
    • 50.
      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).
    • 51.
      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).
    • 52.
      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).
    • 53.
      Chaplick, S., Kindermann, P., Klawitter, J., Rutter, I., Wolff, A.: Extending Partial Representations of Rectangular Duals with Given Contact Orientations. In: Calamoneri, T. und Coró, F. (hrsg.) Proc. 12th International Conference on Algorithms and Complexity (CIAC’21). S. 340–353. Springer-Verlag (2021).
    • 54.
      Seybold, J.: Examining the Netcode of Old, Open-sourced Video Games, (2021).
    • 55.
      Leidinger, F.: Measuring the Effectiveness of Latency Mitigation Methods with a Prototype Video Game, (2021).
    • 56.
      Supervisor: Seufert, M.: Identifying User Behavior from Encrypted Video Streaming Traffic, (2021).
    • 57.
      Theiner, M.: Profiling the E2E Delays of Streamed Video Games with the Camera Method, (2021).
    • 58.
      Knaub, A.: Investigation of Stream Aggregates for Asynchronous Traffic Shaping, (2021).
    • 59.
      An, S.H.: Investigation of Timed Gates for Predictable Latency in Dynamic Networks, (2021).
    • 60.
      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).
    • 61.
      Supervisor: Seufert, M.: Transfer Learning for QoE Monitoring of Encrypted Video Streaming Traffic, (2021).
    • 62.
      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).
    • 63.
      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).
    • 64.
      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).
    • 65.
      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).
    • 66.
      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).
    • 67.
      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).
    • 68.
      Walter, J., Zink, J., Baumeister, J., Wolff, A.: Layered Drawing of Undirected Graphs with Generalized Port Constraints. In: Auber, D. und Valtr, P. (hrsg.) Proc. 28th Int. Symp. Graph Drawing & Network Vis. (GD’20). S. 220–234. Springer-Verlag (2021).
    • 69.
      Sichermann, M.: Evaluting the Mobile Internet Experience in Bavaria from End User Perspective, (2021).
    • 70.
      Arslanian, A.: QoE Study for Compatible Video and Web Browsing QoE Models, (2021).
    • 71.
      Wieser, V.: Bandwidth Measurements in Mobile Scenarios using a Raspberry Pi, (2021).
    • 72.
      Oesen, E.: Machine Learning Based Web QoE Monitoring for Encrypted Network Traffic, (2021).
    • 73.
      Donnermann, M., Schaper, P., Lugrin, B.: Towards Adaptive Robotic Tutors in Universities: A Field Study. International Conference on Persuasive Technology (PERSUASIVE 2021). Springer (2021).
    • 74.
      Vomhoff, V.: Investigating IoT-centric signaling traffic at the MVNO Mobile Core - Modeling and Classification, (2021).
    • 75.
      Supervisor: Dietz, K.: Comparison and Evaluation of Compatibility of Existing Data Sets for Intrusion Detection, (2021).
    • 76.
      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).
    • 77.
      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).
    • 78.
      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., und Wong, P. (hrsg.) Proc. 47th Int. Conf. Current Trends Theory & Practice Comput. Sci. (SOFSEM’21). S. 361–372. Springer-Verlag (2021).
    • 79.
      Schmitt, P.: Exploratory Comparison of Contemporary Cloud Gaming Services, (2021).
    • 80.
      Funk, M.S.: Comparing Video QoE Models Using Subjective QoE Data Sets, (2021).
    • 81.
      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).
    • 82.
      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).
    • 83.
      Supervisor: Grigorjew, A.: Comparison of Different TSN Shaping Strategies for Various Reservation Models, (2021).
    • 84.
      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).
    • 85.
      Supervisor: Metzger, F.: Comparative Smart City Simulation of LoRaWAN and NB-IoT, (2021).
    • 86.
      Supervisor: Metzger, F.: Accessible System Monitoring for Community LPWAN Networks, (2021).
    • 87.
      Chaplick, S., Kindermann, P., Klawitter, J., Rutter, I., Wolff, A.: Extending Partial Representations of Rectangular Duals with Given Contact Orientations. In: Philippou, A. und Georgiou, C. (hrsg.) Proceedings of the 12th International Conference on Algorithms and Complexity (CIAC’21) (2021).
    • 88.
      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).
    • 89.
      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). S. 440–441. IEEE (2021).
    • 90.
      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). S. 442–443. IEEE (2021).
    • 91.
      Supervisor: Geissler, S.: Design and Implementation of a WebApp for the Performance Evaluation of VNF Chains, (2021).
    • 92.
      Ebner, M.: Plausible Performance Prediction of Simulated SDN-enabled Networks via Machine Learning, (2021).
    • 93.
      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).
    • 94.
      Supervisor: Seufert, M.: Studying TCP/QUIC Performance for Competing Flow Access in a Testbed, (2021).
    • 95.
      Schüler, J.: Real-time Video QoE Estimation for Network Management based on Feature Calculation on a 100Gbps Programmable Data Plane, (2021).
    • 96.
      Steininger, M., Kobs, K., Davidson, P., Krause, A., Hotho, A.: Density-based weighting for imbalanced regression. Machine Learning. (2021).
    • 97.
      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).
    • 98.
      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).
    • 99.
      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).
    • 100.
      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).
    • 101.
      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).
    • 102.
      Supervisor: Wehner, N.: Multi Agent Reinforcement Learning for Port Configuration of Time-Sensitive-Networking, (2021).
    • 103.
      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).
    • 104.
      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).
    • 105.
      Supervisor: Wehner, N.: Evaluating the Interaction between Web and Video QoE with Crowdsourcing, (2021).
    • 106.
      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).
    • 107.
      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).
    • 108.
      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).
    • 109.
      Fischer, E., Zoller, D., Hotho, A.: Comparison of Transformer-Based Sequential Product Recommendation Models for the Coveo Data Challenge. SIGIR Workshop On eCommerce. (2021).
    • 110.
      Supervisor: Wehner, N.: Modelling Web QoE with Gradient Based Features and Crowdsourcing, (2021).
    • 111.
      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). S. 382–391. IEEE (2021).
    • 112.
      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).
    • 113.
      Arseneva, E., Kleist, L., Klemz, B., Löffler, M., Schulz, A., Vogtenhuber, B., Wolff, A.: Adjacency Graphs of Polyhedral Surfaces. In: Buchin, K. und Colin de Verdière, Éric (hrsg.) Proc. 37th Annu. Sympos. Comput. Geom. (SoCG’21). S. 11:1–11:17. Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021).
    • 114.
      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., und Szafir, D. (hrsg.) Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2021). ACM (2021).
    • 115.
      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).
    • 116.
      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).
    • 117.
      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).
    • 118.
      Supervisor: Loh, F.: Studying mobility in a LoRaWAN Network, (2021).
    • 119.
      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).
    • 120.
      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).
    • 121.
      Wienrich, C., Döllinger, N.I., Hein, R.: Behavioral Framework of Immersive Technologies (BehaveFIT): How and Why Virtual Reality can Support Behavioral Change Processes. Frontiers Virtual Reality. 2, 84 (2021).
    • 122.
      Schweifler, R.: Evaluating the Impact of Browsing Delays on the QoE of Music Streaming, (2021).
    • 123.
      Supervisor: Seufert, M.: Comparison of Web and Video QoE Perception, (2021).
    • 124.
      Supervisor: Seufert, M.: Data Augmentation of Network Traffic Traces, (2021).
    • 125.
      Supervisor: Seufert, M.: Investigating Quality of Experience of Video Conferencing via Crowdsourcing Study, (2021).

    2020 [ nach oben ]

    • 1.
      Firman, O., Felsner, S., Kindermann, P., Ravsky, A., Wolff, A., Zink, J.: The Complexity of Finding Tangles. In: Auber, D. und Valtr, P. (hrsg.) Proceedings of the 28th International Symposium on Graph Drawing and Network Visualization (GD’20) (2020).
    • 2.
      Dulny, A., Steininger, M., Lautenschlager, F., Krause, A., Hotho, A.: Evaluating the multi-task learning approach for land use regression modelling of air pollution. International Conference on Frontiers of Artificial Intelligence and Machine Learning. IASED (2020).
    • 3.
      Bauer, A., Züfle, M., Herbst, N., Zehe, A., Hotho, A., Kounev, S.: Time Series Forecasting for Self-Aware Systems. Proceedings of the IEEE. 1–26 (2020).
    • 4.
      Hessenauer, L.: Classification of IoT Signaling Incidents, (2020).
    • 5.
      Raffeck, S.: Towards Modeling Energy Performance of LoRaWAN Transmissions: A Verification of Theoretical Predictions, (2020).
    • 6.
      Schlör, D., Zehe, A., Kobs, K., Veseli, B., Westermeier, F., Brübach, L., Roth, D., Latoschik, M.E., Hotho, A.: Improving Sentiment Analysis with Biofeedback Data. Proceedings of LREC2020 Workshop ``People in language, vision and the mind’’ (ONION2020). S. 28–33. European Language Resources Association (ELRA), Marseille, France (2020).
    • 7.
      Steininger, M., Kobs, K., Zehe, A., Lautenschlager, F., Becker, M., Hotho, A.: MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images. ACM Trans. Spatial Algorithms Syst. 6, (2020).
    • 8.
      Zehe, A., Arns, J., Hettinger, L., Hotho, A.: HarryMotions – Classifying Relationships in Harry Potter based on Emotion Analysis. 5th SwissText & 16th KONVENS Joint Conference (2020).
    • 9.
      Schlör, D., Ring, M., Krause, A., Hotho, A.: Financial Fraud Detection with Improved Neural Arithmetic Logic Units. (2020).
    • 10.
      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). S. 1315–1320 (2020).
    • 11.
      Fischer, M., Kobs, K., Hotho, A.: NICER — Aesthetic Image Enhancement with Humans in the Loop. ACHI 2020: The Thirteenth International Conference on Advances in Computer-Human Interactions. S. 357–362 (2020).
    • 12.
      Tönsing, L.: Prediction of YouTube’s Chunk Request from Monitored Encrypted Network Traffic, (2020).
    • 13.
      Lautenschlager, F., Becker, M., Kobs, K., Steininger, M., Davidson, P., Krause, A., Hotho, A.: OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning. Atmospheric Environment. 233, 117535 (2020).
    • 14.
      Kobs, K., Potthast, M., Wiegmann, M., Zehe, A., Stein, B., Hotho, A.: Towards Predicting the Subscription Status of Twitch.tv Users. Proceedings of ECML-PKDD 2020 ChAT Discovery Challenge on Chat Analytics for Twitch. (2020).
    • 15.
      Steininger, M., Abel, D., Ziegler, K., Krause, A., Paeth, H., Hotho, A.: Deep Learning for Climate Model Output Statistics. Tackling Climate Change with Machine Learning Workshop at NeurIPS 2020. (2020).
    • 16.
      Tritscher, J., Ring, M., Schlr, D., Hettinger, L., Hotho, A.: Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data. In: Helic, D., Leitner, G., Stettinger, M., Felfernig, A., und Ra’s, Z.W. (hrsg.) Foundations of Intelligent Systems. S. 422–430. Springer International Publishing, Cham (2020).
    • 17.
      Brefeld, U., Fromont, Élisa, Hotho, A., Knobbe, A.J., Maathuis, M.H., Robardet, C. hrsg.: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III. Springer (2020).
    • 18.
      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).
    • 19.
      Kobs, K., Steininger, M., Zehe, A., Lautenschlager, F., Hotho, A.: SimLoss: Class Similarities in Cross Entropy. In: Helic, D., Leitner, G., Stettinger, M., Felfernig, A., und Ra’s, Z.W. (hrsg.) Foundations of Intelligent Systems. S. 431–439. Springer International Publishing, Cham (2020).
    • 20.
      Supervisor: Loh, F.: Solving the Collision Problem with Aggregation? A Measurement Driven LoRaWAN Study., (2020).
    • 21.
      Stauffert, J.-P., Niebling, F., Lugrin, J.-L., Latoschik, M.E.: Guided Sine Fitting for Latency Estimation in Virtual Reality. 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). S. 707–708. IEEE (2020).
    • 22.
      Kobs, K., Zehe, A., Bernstetter, A., Chibane, J., Pfister, J., Tritscher, J., Hotho, A.: Emote-Controlled: Obtaining Implicit Viewer Feedback through Emote based Sentiment Analysis on Comments of Popular Twitch.tv Channels. ACM Transactions on Social Computing. 3, 1–34 (2020).
    • 23.
      Beyer, S., Chimani, M., Spoerhase, J.: A Simple Primal-Dual Approximation Algorithm for 2-Edge-Connected Spanning Subgraphs. Proc. 26th International Computing and Combinatorics Conference (COCOON’20) (2020).
    • 24.
      Furdek, M., Natalino, C., Lipp, F., Hock, D., Di Giglio, A., Schiano, M.: Machine Learning for Optical Network Security Monitoring: A Practical Perspective. Journal of Lightwave Technology. 38, 2860–2871 (2020).
    • 25.
      Kunz, F., Hirth, M., Schweitzer, T., Linz, C., Goetz, B., Stellzig-Eisenhauer, A., Borchert, K., Böhm, H.: Subjective perception of craniofacial growth asymmetries in patients with deformational plagiocephaly. Springer Clinical Oral Investigations. 24, https://doi.org/10.1007/s00784–020 (2020).
    • 26.
      Oberdörfer, S., Elsässer, A., Schraudt, D., Grafe, S., Latoschik, M.E.: Horst – The Teaching Frog: Learning the Anatomy of a Frog Using Tangible AR. Proceedings of the 2020 Mensch und Computer Conference (MuC ’20). 303–307 (2020).
    • 27.
      Spangenberger, M.: Implementation and Evaluation of Content Encoding at Runtime for DASH Video Streaming, (2020).
    • 28.
      Niebling, F., Bruschke, J., Messemer, H., Wacker, M., von Mammen, S.: Analyzing Spatial Distribution of Photographs in Cultural Heritage Applications. In: Liarokapis, F., Voulodimos, A., Doulamis, N., und Doulamis, A. (hrsg.) Visual Computing for Cultural Heritage. S. 391–408. Springer, Cham (2020).
    • 29.
      Wassermann, S., Casas, P., Seufert, M., Wehner, N., Schüler, J., Hoßfeld, T.: How Good is your Mobile (Web) Surfing? SpeedIndex Inference from Encrypted Traffic, (2020).
    • 30.
      Seufert, M.: Different Points of View: Impact of 3D Point Cloud Reduction on QoE of Rendered Images. , 12th International Conference on Quality of Multimedia Experience (QoMEX), Athlone, Ireland (virtual) (2020).
    • 31.
      Supervisor: Metzger, F.: Vehicular and Wireless Traffic Simulation and Optimization under Urban Mobility, (2020).
    • 32.
      Wolf, E., Döllinger, N., Mal, D., Wienrich, C., Botsch, M., Latoschik, M.E.: Body Weight Perception of Females using Photorealistic Avatars in Virtual and Augmented Reality. 2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (2020).
    • 33.
      Supervisor: Metzger, F.: Design and Evaluation of a Cloud Gaming Crowdsourcing Study, (2020).
    • 34.
      Wehner, N., Mertinat, N., Seufert, M., Hoßfeld, T.: Studying the Impact of the Content Selection Method on the Video QoE on Mobile Devices, (2020).
    • 35.
      Hofmann, J.: Deep Reinforcement Learning for Configuration of Time-Sensitive-Networking, (2020).
    • 36.
      Omeliyanenko, J., Zehe, A., Hettinger, L., Hotho, A.: LM4KG: Improving Common Sense Knowledge Graphs with Language Models. In: Pan, J.Z., Tamma, V., d’Amato, C., Janowicz, K., Fu, B., Polleres, A., Seneviratne, O., und Kagal, L. (hrsg.) The Semantic Web -- ISWC 2020. S. 456–473. Springer International Publishing, Cham (2020).
    • 37.
      Brefeld, U., Fromont, Élisa, Hotho, A., Knobbe, A.J., Maathuis, M.H., Robardet, C. hrsg.: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I. Springer (2020).
    • 38.
      Ziebell, P., Stümpfig, J., Eidel, M., Kleih, S.C., Kübler, A., Latoschik, M.E., Halder, S.: Stimulus modality influences session-to-session transfer of training effects in auditory and tactile streaming-based P300 brain–computer interfaces. Scientific Reports. 10, 11873- (2020).
    • 39.
      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).