Artikel in Konferenzbänden

2024[ to top ]
  • [1]
    D. Benner, Introducing Generative Feedback to Chatbots in Digital Higher Education, in International Conference on Wirtschaftsinformatik (WI), Würzburg, Germany, 2024, S. 9.
  • [1]
    D. Benner, S. Schöbel, A. Janson, und J. M. Leimeister, Engaging Minds – How Gamified Chatbots can Support and Motivate Learners in Digital Education, in Hawaii International Conference on System Sciences (HICSS), Waikiki, Hawaii, USA, 2024. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2024/01/JML_961.pdf
  • [1]
    O. Bruhin, E. Dickhaut, E. Elshan, und M. M. Li, The Rise of Generative AI in Low Code Development Platforms – An Analysis and Future Directions, in Hawaii International Conference on System Sciences (HICSS), Waikiki, Hawaii, USA, 2024. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2024/01/JML_958.pdf
  • [1]
    J. Decke, A. Jenß, B. Sick, und C. Gruhl, An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing, in International Conference on Architecture of Computing Systems (ARCS), Springer, 2024.
  • [1]
    J. Decke, O. Wünsch, B. Sick, und C. Gruhl, From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs, in International Conference on Architecture of Computing Systems (ARCS), Springer, 2024.
  • [1]
    K. Geffers, U. Bretschneider, K. Eilers, und S. Oeste-Reiß, Leading Teams in Today’s Dynamic Organizations: The Core Characteristics of Agile Leadership, in Hawaii International Conference on System Sciences (HICSS), Waikiki, Hawaii, USA, 2024. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2024/01/JML_960.pdf
  • [1]
    J. Hegenberg und L. Schmidt, Feldstudie zur Navigation autonomer mobiler Roboter an belebten öffentlichen Orten, in Arbeitswissenschaft in-the-loop - Mensch-Technologie-Integration und ihre Auswirkung auf Mensch, Arbeit und Arbeitsgestaltung: 70. Kongress der Gesellschaft für Arbeitswissenschaft (Stuttgart 2024), Gesellschaft für Arbeitswissenschaft e. V., Hrsg., Sankt Augustin: GfA-Press, 2024, S. 1–6 (D.6.4).
  • [1]
    Z. Huang, C. P. Nivarthi, C. Gruhl, und B. Sick, Spatial-Temporal Attention Graph Neural Network with Uncertainty Estimation for Remaining Useful Life Prediction, in International Joint Conference on Neural Networks (IJCNN), IEEE, 2024.
  • [1]
    A. Hupe, K. Lange, U. Bretschneider, und R. Refflinghaus, Governing the Crowd: Developing Reference Process Modules for the Governance of the Crowd on Online Labour Platforms, in International Working Seminar on Production Economics (IWSPE), Innsbruck, Austria, 2024. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2024/02/JML_962.pdf
  • [1]
    D. Huseljic, P. Hahn, M. Herde, L. Rauch, und B. Sick, Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification, in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), 2024.
  • [1]
    F. Karst, M. M. Li, und J. M. Leimeister, FinDEx: A Synthetic Data Sharing Platform for Financial Fraud Detection, in Hawaii International Conference on System Sciences (HICSS), Waikiki, Hawaii, USA: University of Hawaiʻi at Mānoa, 2024. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2024/01/JML_957.pdf
  • [1]
    E. Landau und L. Schmidt, Erprobung eines innovativen Unternehmensberatungskonzepts für neue Technologien am Beispiel von 3D-Scannern und -Druckern, in Arbeitswissenschaft in-the-loop - Mensch-Technologie-Integration und ihre Auswirkung auf Mensch, Arbeit und Arbeitsgestaltung: 70. Kongress der Gesellschaft für Arbeitswissenschaft (Stuttgart 2024), Gesellschaft für Arbeitswissenschaft e. V., Hrsg., Sankt Augustin: GfA-Press, 2024, S. 1–6 (H.3.5).
  • [1]
    D. Mack, J. Funk, und L. Schmidt, Einsatz von Virtual Reality zum Erlernen eines Montageprozesses, in Arbeitswissenschaft in-the-loop - Mensch-Technologie-Integration und ihre Auswirkung auf Mensch, Arbeit und Arbeitsgestaltung: 70. Kongress der Gesellschaft für Arbeitswissenschaft (Stuttgart 2024), Gesellschaft für Arbeitswissenschaft e. V., Hrsg., Sankt Augustin: GfA-Press, 2024, S. 1–6 (H.4.2).
  • [1]
    B. M. Magnussen, M. Jessulat, C. Stern, und B. Sick, Adaptive Shapley: Using Explainable AI with Large Datasets to Quantify the Impact of Arbitrary Error Sources, in International Conference on Big Data Analytics (ICBDA), IEEE, 2024.
  • [1]
    B. M. Magnussen, F. Möckel, M. Jessulat, C. Stern, und B. Sick, Optical Detection of the Body Mass Index and Related Parameters Using Multiple Spatially Resolved Reflection Spectroscopy, in International Conference on Bioinformatics and Computational Biology (ICBCB), IEEE, 2024.
  • [1]
    P. Reinhard, M. M. Li, C. Peters, und J. M. Leimeister, LET EMPLOYEES TRAIN THEIR OWN CHATBOTS: DESIGN OF GENERATIVE AI-ENABLED DELEGATION SYSTEMS, in European Conference on Information Systems (ECIS), Paphos, Cyprus, 2024. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2024/04/JML_970.pdf
  • [1]
    P. Reinhard, M. M. Li, C. Peters, und J. M. Leimeister, Generative AI in Customer Support Services: A Framework for Augmenting the Routines of Frontline Service Employees, in Hawaii International Conference on System Sciences (HICSS), Waikiki, Hawaii, USA, 2024. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/12/JML_956.pdf
  • [1]
    P. Reinhard, Augmenting Frontline Service Employee Onboarding via Hybrid Intelligence: Examining the Effects of Different Degrees of Human-GenAI Interaction, in International Conference on Design Science Research in Information Systems and Technology (DESRIST 2024), M. Y. Mandviwalla, M. Söllner, und T. Tuunanen, Hrsg., Trollhättan, Sweden, 2024. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2024/04/JML_969.pdf
  • [1]
    E. Ritz, Balancing Bytes with Brains: Exploring the Role of Learners’ Control in Personalized Learning Tasks, in European Conference on Information Systems (ECIS), Paphos, Cyprus, 2024. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2024/04/JML_968.pdf
  • [1]
    E. Ritz, L. Freise, E. Elshan, R. Rietsche, und U. Bretschneider, What to Learn Next? Designing Personalized Learning Paths for Re-&Upskilling in Organizations, in Hawaii International Conference on System Sciences (HICSS), Waikiki, Hawaii, USA, 2024. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2024/01/JML_959.pdf
  • [1]
    A. Tolzin, N. Knoth, und A. Janson, Worked Examples to Facilitate the Development of Prompt Engineering Skills, in Thirty-Second European Conference on Information Systems (ECIS 2024), Paphos, Cyprus, 2024. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2024/06/JML_967.pdf
  • [1]
    w, B. Olivia, D. Ernestine, W. Hendrik, und W. Pauline, More Than Just Efficiency: Impact of Generative AI on Developer Productivity, in Americas Conference on Information Systems (AMCIS), Utah, USA, 2024. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2024/07/JML_974.pdf
  • [1]
    F. Wehr, L. Beckers, und L. Schmidt, Empirische Evaluation von personalisierten Fahrgastinformationen auf einem Smart Public Display, in Arbeitswissenschaft in-the-loop - Mensch-Technologie-Integration und ihre Auswirkung auf Mensch, Arbeit und Arbeitsgestaltung: 70. Kongress der Gesellschaft für Arbeitswissenschaft (Stuttgart 2024), Gesellschaft für Arbeitswissenschaft e. V., Hrsg., Sankt Augustin: GfA-Press, 2024, S. 1–6 (D.2.1).
2023[ to top ]
  • [1]
    M. Aßenmacher, Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering, in Workshop on Interactive Adapative Learning (IAL), ECML PKDD, 2023, S. 65–73. [Online]. Verfügbar unter: https://ceur-ws.org/Vol-3470/paper7.pdf
  • [1]
    D. Benner und S. Schöbel, Stay with me - Conversational Churn Prevention in Digital Subscription Service, in European Conference on Information Systems (ECIS), Kristiansand, Norway, 2023. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/04/JML_928.pdf
  • [1]
    Y. Berkle, A. Janson, T. Wambsganß, D. Löfflad, J. M. Leimeister, und M. Leuchter, Measuring students’ argumentation skills: validation of a test instrument, in EARLI Conference (EARLI), Thessaloniki, Greece, 2023.
  • [1]
    J. Breitenstein, What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving, in Workshop on roBustness and Reliability of Autonomous Vehicles in the Open-world (BRAVO), ICCV, 2023, S. 3991–4000. [Online]. Verfügbar unter: https://openaccess.thecvf.com/content/ICCV2023W/BRAVO/html/Breitenstein_What_Does_Really_Count_Estimating_Relevance_of_Corner_Cases_for_ICCVW_2023_paper.html
  • [1]
    P. Busch, J. Kirchhoff, J. S. Heinisch, K. David, O. von Stryk, und J. Wendt, Stores are Liable for Their Robots!? An Empirical Study on Liability in HRI with an Anthropomorphic Frontline Service Robot, in 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2023.
  • [1]
    J. Decke, C. Gruhl, L. Rauch, und B. Sick, DADO – Low-Cost Query Strategies for Deep Active Design Optimization, in International Conference on Machine Learning and Applications (ICMLA), IEEE, 2023, S. 1611–1618. doi: 10.1109/ICMLA58977.2023.00244.
  • [1]
    E. Dickhaut, A. Janson, A. Hevner, und J. M. Leimeister, Sharing Design Knowledge Through Codification in Interdisciplinary DSR Collaborations, in Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii, 2023. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2023/01/JML_915.pdf
  • [1]
    E. Dickhaut, M. M. Li, und A. Janson, How Videoconferencing and its Affordances Transformed Teaching in Schools During COVID-19 Pandemic, in Hawaii international conference on system sciences (HICSS), Maui, Hawaii, 2023. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/01/JML_914.pdf
  • [1]
    C. Draude, Working with Diversity in Informatics, in Hochschuldidaktik Informatik HDI 2021, in Commentarii informaticae didacticae. Universitätsverlag Potsdam, 2023, S. 13–33. doi: 10.25932/PUBLISHUP-61378.
  • [1]
    D. Dürrschnabel und G. Stumme, Maximal Ordinal Two-Factorizations, in Graph-Based Representation and Reasoning, M. Ojeda-Aciego, K. Sauerwald, und R. Jäschke, Hrsg., Cham: Springer Nature Switzerland, 2023, S. 41–55.
  • [1]
    E. Elshan, E. Dickhaut, und P. Ebel, An Investigation of Why Low Code Platforms Provide Answers and New Challenges, in Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii, 2023. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/01/JML_916.pdf
  • [1]
    E. Elshan, D. Germann, E. Dickhaut, und M. M. Li, Faster, Cheaper, Better? Analyzing how Lowcode Developoment Platforms drive Bottom-Up Innovation, in European Conference on Information Systems (ECIS), Kristiansand, Norway, 2023. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2023/06/JML_936.pdf
  • [1]
    S. Engert, V. Horn, C. Draude, und T. Hess, Integrating Multiple Logics by Design? Developing an Approach for Designing Digital Business Models, in ACIS 2023 Proceedings, 2023. [Online]. Verfügbar unter: https://aisel.aisnet.org/acis2023/71
  • [1]
    L. Esterle, Self-awareness in Cyber-Physical Systems: Recent Developments and Open Challenges, in Design, Automation & Test in Europe Conference & Exhibition (DATE), IEEE, 2023, S. 1–6. doi: 10.23919/DATE56975.2023.10137197.
  • [1]
    L. R. Freise und U. Bretschneider, Automized Assessment for Professional Skills – A Systematic Literature Review and Future Research Avenues, in Internationale Tagung Wirtschaftsinformatik (WI), Paderborn, Germany, 2023. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/09/JML_948.pdf
  • [1]
    L. R. Freise und A. Hupe, Transferring Digital Twin Technology on Employee Skills: A Framework to Support Human Resources, in Academy of Management Annual Meeting (AOM), Boston, Massachusetts, USA, 2023.
  • [1]
    B. Ganter, T. Hanika, und J. Hirth, Scaling Dimension, in Formal Concept Analysis - 17th International Conference, ICFCA 2023, Kassel, Germany, July 17-21, 2023, Proceedings, D. Dürrschnabel und D. López-Rodríguez, Hrsg., in Lecture Notes in Computer Science, vol. 13934. Springer, 2023, S. 64–77. doi: 10.1007/978-3-031-35949-1\_5.
  • [1]
    T. Gleich, S. Schöbel, und A. Janson, Meetings at Digital Workplaces – An Experimental Approach to Analyze Group Attachment and Organizational Commitment in Digital Worlds, in European Conference on Information Systems (ECIS), Kristiansand, Norway, 2023. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/06/JML_934.pdf
  • [1]
    A. Göldi und R. Rietsche, WHERETO FOR AUTOMATED COACHING CONVERSATION: STRUCTURED INTERVENTION OR ADAPTIVE GENERATION?, in European Conference on Information Systems (ECIS), Kristiansand, Norway, 2023. doi: 20.500.14171/118654.
  • [1]
    C. Gruhl und B. Sick, Self-Integration and Agent Compatibility, in Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), IEEE, 2023, S. 71–73. doi: 10.1109/ACSOS-C58168.2023.00039.
  • [1]
    F. Heidecker, T. Susetzky, E. Fuchs, und B. Sick, Context Information for Corner Case Detection in Highly Automated Driving, in IEEE International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2023, S. 1522–1529. doi: 10.1109/ITSC57777.2023.10422414.
  • [1]
    M. Herde, D. Huseljic, B. Sick, U. Bretschneider, und S. Oeste-Reiss, Who knows best? A Case Study on Intelligent Crowdworker Selection via Deep Learning, in International Workshop & Tutorial on Interactive Adaptive Learning (IAL), Torino, Italy, 2023. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/10/JML_950.pdf
  • [1]
    M. Herde, D. Huseljic, B. Sick, U. Bretschneider, und S. Oeste-Reiß, Who knows best? A Case Study on Intelligent Crowdworker Selection via Deep Learning, in Workshop on Interactive Adapative Learning (IAL), ECML PKDD, 2023, S. 14–18. [Online]. Verfügbar unter: https://ceur-ws.org/Vol-3470/paper3.pdf
  • [1]
    M. Hetzel, H. Reichert, G. Reitberger, K. Doll, B. Sick, und E. Fuchs, The IMPTC Dataset: An Infrastructural Multi-Person Trajectory and Context Dataset, in IEEE Intelligent Vehicles Symposium (IV), IEEE, 2023, S. 1–7. doi: 10.1109/IV55152.2023.10186776.
  • [1]
    J. Hirth, V. Horn, G. Stumme, und T. Hanika, Automatic Textual Explanations of Concept Lattices, in Graph-Based Representation and Reasoning, M. Ojeda-Aciego, K. Sauerwald, und R. Jäschke, Hrsg., in Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2023, S. 138–152. doi: 10.1007/978-3-031-40960-8_12.
  • [1]
    V. Horn und C. Draude, The Ladder of Participation as a Conceptual Tool for Sustainable Socio-Technical Design of Data-driven Digital Services, in HCI International 2023 Posters, C. Stephanidis, M. Antona, S. Ntoa, und G. Salvendy, Hrsg., Cham: Springer Nature Switzerland, 2023, S. 60–67. doi: 10.1007/978-3-031-35989-7_8.
  • [1]
    Z. Huang, Y. He, M. Herde, D. Huseljic, und B. Sick, Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets, in Workshop on Interactive Adapative Learning (IAL), ECML PKDD, 2023, S. 28–45. [Online]. Verfügbar unter: https://ceur-ws.org/Vol-3470/paper5.pdf
  • [1]
    Z. Huang, Y. He, und B. Sick, Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction, in Computational Science and Computational Intelligence (CSCI), IEEE, 2023.
  • [1]
    A. Hupe und U. Bretschneider, Smarter Crowdwork by Applying Smart Contracts? European Conference on Information Systems, in European Conference on Information Systems (ECIS), Kristiansand, Norway, 2023. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2023/06/JML_935.pdf
  • [1]
    A. Hupe und U. Bretschneider, Revolutionizing Crowdworking Campaigns: Conquering Adverse Selection and Moral Hazard with the Help of Smart Contracts, in International Conference on Information Systems (ICIS), Hyderabad, India, 2023. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/12/JML_955.pdf
  • [1]
    D. Huseljic, M. Herde, P. Hahn, und B. Sick, Role of Hyperparameters in Deep Active Learning, in Workshop on Interactive Adaptive Learning (IAL), ECML PKDD, 2023, S. 19–24. [Online]. Verfügbar unter: https://ceur-ws.org/Vol-3470/paper4.pdf
  • [1]
    A. Janson, A. Schmitt, und T. Bevilacqua, Disentangling Trust in Voice Assistants - A Configurational View on Conversational AI Ecosystems, in Annual Meeting of the Academy of Management (AOM), Boston, Massachusetts, USA, 2023.
  • [1]
    F. S. Karst, M. M. Li, und J. M. Leimeister, Synthesizing Training Data with Generative Adversarial Networks: Towards the Design of a Data-Sharing Ecosystem Platform for Fraud Detection, in International Conference on Design Science Research in Information Systems and Technology (DESRIST), Pretoria, South Africa, 2023.
  • [1]
    S. Klee, A. Janson, und J. M. Leimeister, Automotive Manufacturers and Their Stumble from one Supply Crisis to Another: Procurement Departments Could be the Game Changer by Using Data Analytics, but…, in Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii, USA, 2023. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2022/10/JML_887.pdf
  • [1]
    V. Lachi, A. Moallemy-Oureh, A. Roth, und P. Welke, Graph Pooling Provably Improves Expressivity, in Workshop on New Frontiers in Graph Learning, NeurIPS, 2023, S. 1–7. [Online]. Verfügbar unter: https://openreview.net/forum?id=lR5NYB9zrv
  • [1]
    K. Lange, R. Refflinghaus, A. Hupe, und U. Bretschneider, Establishing a Comprehensive Quality Management for the Use of Crowd-based Mechanisms by SMEs, in International Conference on Production Research (ICPR), Cluj-Napoca, Romania, 2023. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/08/JML_943.pdf
  • [1]
    M. M. Li, D. Löfflad, C. Reh, und S. Oeste-Reiß, Towards the design of hybrid intelligence frontline service technologies – A novel human-in-the-loop configuration for human machine interactions, in Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii, 2023. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/01/JML_913.pdf
  • [1]
    B. M. Magnussen, C. Stern, und B. Sick, Leveraging Repeated Unlabelled Noisy Measurements to Augment Supervised Learning, in International Conference on Computational Intelligence and Intelligent Systems (CIIS), ACM, 2023, S. 1–6. doi: 10.1145/3638209.3638210.
  • [1]
    B. M. Magnussen, C. Stern, und B. Sick, Utilizing Continuous Kernels for Processing Irregularly and Inconsistently Sampled Data With Position-Dependent Features, in International Conference on Autonomic and Autonomous Systems (ICAS), ThinkMind, 2023, S. 49–53. [Online]. Verfügbar unter: http://www.thinkmind.org/index.php?view=article&articleid=icas_2023_1_90_20043
  • [1]
    A. Moallemy-Oureh, S. Beddar-Wiesing, R. Nather, und J. Thomas, Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Network, in Workshop on Temporal Graph Learning (TGL), NeurIPS, 2023, S. 1–7. [Online]. Verfügbar unter: https://openreview.net/forum?id=QJx3Cmddsy
  • [1]
    C. P. Nivarthi und B. Sick, Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding, in International Conference on Machine Learning and Applications (ICMLA), IEEE, 2023, S. 1444–1450. doi: 10.1109/ICMLA58977.2023.00218.
  • [1]
    S. Oeste-Reiß, M. Söllner, und J. M. Leimeister, Transferring Well-Performing Collaborative Work Practices with Parameterized Templates and Guidebooks: Empowering Subject Matter Experts for an Adaptation to Slightly Different Contexts, in Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii, USA, 2023. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2022/10/JML_894.pdf
  • [1]
    S. Oeste-Reiß, M. Söllner, und J. M. Leimeister, Collaborative Work Practices for Management Education: Using Collaboration Engineering to Design a Reusable and Scalable Collaborative Learning Instructional Design, in Hawaii International Conference on System Sciences (HICCS), Maui, Hawaii, USA, 2023. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2022/10/JML_893.pdf
  • [1]
    C. Peters und P. Richter, Individualizing Patient Pathways through Modularization: Design and Evaluation of Healthcare-Specific Modularization Parameters, in Proceedings of the 56th Hawaii International Conference on System Sciences (HICSS 2023), Maui, Hawaii, USA, 2023. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/01/JML_917.pdf
  • [1]
    A. K. Purohit, T. J. Barev, S. Schöbel, A. Janson, und A. Holzer, Designing for Digital Wellbeing on a Smartphone: Co-creation of Digital Nudges to Mitigate Instagram Overuse, in Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii, USA, 2023. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/01/JML_918.pdf
  • [1]
    L. Rauch, M. Aßenmacher, D. Huseljic, M. Wirth, B. Bischl, und B. Sick, ActiveGLAE: A Benchmark for Deep Active Learning with Transformers, in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), Springer, 2023, S. 55–74. doi: 10.1007/978-3-031-43412-9_4.
  • [1]
    L. Rauch, R. Schwinger, M. Wirth, B. Sick, S. Tomforde, und C. Scholz, Active Bird2Vec: Towards End-To-End Bird Sound Monitoring with Transformers, in Workshop on Artificial Intelligence for Sustainability (AI4S), ECAI, 2023, S. 1–6. [Online]. Verfügbar unter: https://arxiv.org/abs/2308.07121
  • [1]
    H. Reichert, M. Hetzel, S. Schreck, K. Doll, und B. Sick, Sensor Equivariance by LiDAR Projection Images, in IEEE Intelligent Vehicles Symposium (IV), IEEE, 2023, S. 1–6. doi: 10.1109/IV55152.2023.10186817.
  • [1]
    P. Reinhard, M. M. Li, E. Dickhaut, C. Peters, und J. M. Leimeister, Empowering Recommender Systems in ITSM: A Pipeline Reference Model for AI-based Textual Data Quality Enrichment, in International Conference on Design Science Research (DESRIST), A. Gerber und R. Baskerville, Hrsg., Pretoria, South Africa, 2023. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/06/JML_932.pdf
  • [1]
    P. Reinhard, M. M. Li, E. Dickhaut, C. Reh, C. Peters, und J. M. Leimeister, A Conceptual Model for Labeling in Reinforcement Learning Systems: A Value Co-Creation Perspective, in International Conference on Design Science Research (DESRIST), A. Gerber und R. Baskerville, Hrsg., Pretoria, South Africa, 2023. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/03/JML_923.pdf
  • [1]
    P. Reinhard, D. Wischer, L. Verlande, N. Neis, und M. M. Li, Towards designing an AI-based conversational agent for on-the-job training of customer support novices, in International Conference on Design Science Research (DESRIST), Pretoria, South Africa, 2023. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/06/JML_931.pdf
  • [1]
    E. Ritz, GETTING INTO FLOW!? ENHANCE FLOW-LIKE EXPERIENCES AND LEARNING PERFORMANCE THROUGH PERSONALIZED LEARNING ACTIVITIES, in European Conference on Information Systems (ECIS), Kristiansand, Norway, 2023. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2023/06/JML_937.pdf
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    M. Sälzer und S. Beddar-Wiesing, Time-aware Robustness of Temporal Graph Neural Networks for Link Prediction, in International Symposium on Temporal Representation and Reasoning (TIME), 2023, S. 19:1–19:3. doi: 10.4230/LIPIcs.TIME.2023.19.
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    C. Sandrock, M. Herde, D. Kottke, und B. Sick, Exploring the Potential of Optimal Active Learning via a Non-myopic Oracle Policy, in Discovery Science (DS), Springer, 2023, S. 265–276. doi: 10.1007/978-3-031-45275-8_18.
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    A. Schmitt, S. Rentsch, und A. Janson, Social Audio: Conceptualizing Voice-Based Online Social Networks and their Privacy Implications, in Annual Meeting of the Academy of Management (AOM), Boston, Massachusetts, USA, 2023.
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    S. Schöbel, J. Karatas, F. Tingelhoff, und J. M. Leimeister, Not everything is a Metaverse?! A Practitioners Perspective on Characterizing Metaverse Platforms, in Proceedings of the Hawaii International Conference of System Science (HICSS), Maui, Hawaii, USA, 2023. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/01/JML_920.pdf
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    S. Schreck, H. Reichert, M. Hetzel, K. Doll, und B. Sick, Height Change Feature Based Free Space Detection, in International Conference on Control, Mechatronics and Automation (ICCMA), IEEE, 2023, S. 171–176. doi: 10.1109/ICCMA59762.2023.10374705.
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    M. Stubbemann und G. Stumme, The Mont Blanc of Twitter: Identifying Hierarchies of Outstanding Peaks in Social Networks, in Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III, in Lecture Notes in Computer Science, vol. 14171. Springer, 2023, S. 177–192. doi: 10.1007/978-3-031-43418-1\_11.
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    A. Tolzin und A. Janson, Mechanisms of Common Ground in Human-Agent Interaction: A Systematic Review of Conversational Agent Research, in Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii, USA, 2023. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2022/10/JML_890.pdf
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    A. Tolzin, A. Körner, E. Dickhaut, A. Janson, R. Rummer, und J. M. Leimeister, Designing Pedagogical Conversational Agents for Achieving Common Ground, in International Conference on Design Science Research (DESRIST), Pretoria, South Africa, 2023. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2023/06/JML_933.pdf
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    T. Tuunanen, T. Böhmann, und J. M. Leimeister, Introduction to the Minitrack on Digital Service and Service Digitalization, in Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii, USA, 2023. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2023/10/JML_951.pdf
2022[ to top ]
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    E. Akmeikina, K. Eilers, M. M. Li, und C. Peters, Empowerment Effects in Human-machine Collaboration - A Systematic Literature Review and Directions on Hybrid Intelligence Behavior Patterns, in Pacific Asia Conference on Information Systems (PACIS), Taipei/Sidney, 2022. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2022/08/JML_885.pdf
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    M. W. Ali, Heterogeneous Multi-Source Deep Adaptive Knowledge-Aware Learning for E-Mobility, in IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), IEEE, 2022, S. 57–60. doi: 10.1109/ACSOSC56246.2022.00030.
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    M. Bachmann, L. H. Acosta, J. Götz, D. Reinhardt, und K. David, Collision Avoidance for Vulnerable Road Users: Privacy versus Survival?, in 5th International Workshop on Intelligent Transportation and Autonomous Vehicles Technologies (ITAVT 2022) in conjunction with IEEE/IFIP Network Operations and Management Symposium (NOMS 2022), 2022, S. 1–6. doi: 10.1109/NOMS54207.2022.9789710.
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    S. Beddar-Wiesing, Student Research Abstract: Using Local Activity Encoding for Dynamic Graph Pooling in Stuctural-Dynamic Graphs, in ACM/SIGAPP Symposium on Applied Computing (SAC), ACM, 2022, S. 604–609. doi: 10.1145/3477314.3506969.
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    S. Beddar-Wiesing, G. A. D’Inverno, C. Graziani, V. Lachi, A. Moallemy-Oureh, und F. Scarselli, On the Extension of the Weisfeiler-Lehman Hierarchy by WL Tests for Arbitrary Graphs, in Workshp on Mining and Learning on Graphs (MLG), ECML PKDD, 2022, S. 1–13. [Online]. Verfügbar unter: https://openreview.net/forum?id=Qt6GrgDz2y5
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    D. Benner, S. Schöbel, A. Janson, und J. M. Leimeister, Can you help me scale? A Systematic Analysis of Scaling Capabilities of Conversational Agents for Digital Services, in International Conference on Wirtschaftsinformatik (WI), Feb. 2022. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2022/03/JML_862.pdf
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    D. Benner, S. Schöbel, und C. Sueess, Towards Gamified Conversational Agents for Self-Regulated Learning in Digital Education, in International Conference on Information Systems (ICIS), Copenhagen, Denmark, 2022. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2023/01/JML_905.pdf
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    D. Benner, S. Schöbel, C. Süess, V. Baechle, und A. Janson, Level-Up your Learning - Introducing a Framework for Gamified Educational Conversational Agents, in International Conference on Wirtschaftsinformatik (WI), Feb. 2022. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2022/01/JML_856.pdf
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    E. Dickhaut, A. Janson, und J. M. Leimeister, Conceptualizing Design Knowledge in IS Research – A Review and Taxonomy of Design Knowledge Properties, in Hawaii International Conference on System Sciences (HICSS), Hawaii, USA, Jan. 2022, S. 5778–5787. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2022/01/JML_850.pdf
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    E. Dickhaut, A. Janson, und J. M. Leimeister, Analyzing Design Knowledge Representation in Design Science Research and Deriving Recommendations to Support Design Knowledge Codification, in The Transdisciplinary Reach of Design Science Research. 17th International Conference on Design Science Research in Information Systems and Technology (DESRIST), A. Drechsler, A. Gerber, und A. Hevner, Hrsg., in Lecture Notes in Computer Science, vol. 13229. St. Petersburg, Florida, USA, 2022, S. 417–428. doi: 10.1007/978-3-031-06516-3_31.
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    C. Draude und G. Klumbytė, Hybrid Spaces, Hybrid Methodologies: Finding Ways of Working with Social Sciences and Humanities in Human-Computer Interaction, in Human-Computer Interaction. Theoretical Approaches and Design Methods, M. Kurosu, Hrsg., in Lecture Notes in Computer Science, vol. 13302. Cham: Springer International Publishing, Juni 2022, S. 40–56. doi: 10.1007/978-3-031-05311-5_3.
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    A. K. Faulhaber, M. Hoppe, und L. Schmidt, Priority-Dependent Display of Notifications in the Peripheral Field of View of Smart Glasses, in 28th IEEE Conference on Virtual Reality and 3D User Interfaces: Abstracts and Workshops (Christchurch 2022), Piscataway: IEEE, 2022, S. 586–587. [Online]. Verfügbar unter: https://doi.org/10.1109/VRW55335.2022.00144
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    M. Felde und G. Stumme, Attribute Exploration with Multiple Contradicting Partial Experts, in Graph-Based Representation and Reasoning, T. Braun, D. Cristea, und R. Jäschke, Hrsg., Cham: Springer International Publishing, 2022, S. 51–65. doi: 10.1007/978-3-031-16663-1_5.
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    T. Hubert und T. Schaller, Bußgeldadressaten nach dem BSIG unter besonderer Berücksichtigung des Entwurfs der zweiten Richtlinie zur Netz- und Informationssicherheit, in Daten, Plattformen und KI als Dreiklang unserer Zeit. Tagungsband DSRI-Herbstakademie 2022, C. Heinze, Hrsg., Edewecht, 2022, S. 825–843.
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    A. Hupe, U. Bretschneider, T. Trostmann, und L. Stubbemann, Barriers for SMEs in Adopting Crowdsourcing, in 35th Bled eConference Digital Restructuring and Human (Re)action, Maribor, Slovenia: University of Maribor Press, Juni 2022, S. 233–248. doi: 10.18690/um.fov.4.2022.
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    G. Klumbytė, C. Draude, und A. S. Taylor, Critical Tools for Machine Learning: Working with Intersectional Critical Concepts in Machine Learning Systems Design, in 2022 ACM Conference on Fairness, Accountability, and Transparency, in FAccT ’22. New York, NY, USA: Association for Computing Machinery, 2022, S. 1528–1541. doi: 10.1145/3531146.3533207.
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    J. Kropf, J. Lamla, und M. Uhlmann, Datenintermediäre als Fairness-Akteure in der Datenökonomie, in Zu treuen Händen? Verbraucherdatenschutz und digitale Selbstbestimmung, Verbraucherzentrale NRW e.V., 2022. [Online]. Verfügbar unter: https://www.verbraucherforschung.nrw/sites/default/files/2022-02/zth-15-uhlmann-kropf-lamla-datenintermediaere-als-fairness-akteure-in-der-datenoekonomie.pdf
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    M. M. Li, C. Peters, M. Poser, K. Eilers, und E. Elshan, ICT-enabled job crafting: How Business Unit Developers use Low-code Development Platforms to craft jobs, in International Conference on Information Systems (ICIS), Copenhagen, Denmark, 2022. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/01/JML_912.pdf
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    C. P. Nivarthi, S. Vogt, und B. Sick, Unified Autoencoder with Task Embeddings for Multi-Task Learning in Renewable Power Forecasting, in International Conference on Machine Learning and Applications (ICMLA), IEEE, 2022, S. 1530–1536. doi: 10.1109/ICMLA55696.2022.00240.
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    S. Ohly, Keynote: Studying Affect at the Cross-Road of Psychology and Computer Science, in 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 2022, S. 377–377. doi: 10.1109/PerComWorkshops53856.2022.9767426.
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    A.-C. C. Pristl und M. S. Billert, CITIZEN PARTICIPATION IN INCREASINGLY DIGITALIZED GOVERNMENTAL ENVIRONMENTS – A SYSTEMATIC LITERATURE REVIEW, in European Conference on Information Systems (ECIS 2022), Timișoara, Romania, Juni 2022, S. 1–19. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2022/07/JML_879.pdf
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    L. Rauch, D. Huseljic, und B. Sick, Enhancing Active Learning with Weak Supervision and Transfer Learning by Leveraging Information and Knowledge Sources, in Workshop on Interactive Adaptive Learning (IAL), ECML PKDD, 2022, S. 27–42. [Online]. Verfügbar unter: http://ceur-ws.org/Vol-3259/ialatecml_paper3.pdf
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    P. Reinhard, M. M. Li, und J. M. Leimeister, Towards an Employee-Centered Design for Human-AI Collaboration: How Work Design Theory Informs the Design of AI Systems, in Pre-ICIS Workshop on the Changing Nature of Work (SIG 11th CNoW), Copenhagen, Denmark, 2022. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/02/JML_921.pdf
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    M. Renner, S. Lins, M. Söllner, S. Thiebes, und A. Sunyaev, Understanding the Necessary Conditions of Multi-Source Trust Transfer in Artificial Intelligence, in Proceedings of the 55th Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences, 2022.
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    R. Rietsche, A. Caines, C. Schramm, D. Pfütze, und P. Buttery, The Specificity and Helpfulness of Peer-to-Peer Feedback in Higher Education, in Workshop on Innovative Use of NLP for Building Educational Applications (BEA), Seattle, Washington, USA: Association for Computational Linguistics, 2022, S. 107–117. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/01/JML_910.pdf
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    R. Rietsche, E. Ritz, J. Janda, und D. Pfütze, A Corpus for Suggestion Mining of German Peer Feedback, in Language Resources and Evaluation Conference (LREC), Marseille, France, 2022, S. 5539–5547. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2023/01/JML_909.pdf
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    E. Ritz, T. Wambsganss, R. Rietsche, A. Schmitt, S. Oeste-Reiß, und J. M. Leimeister, Unleashing Process Mining for Education: Designing an IT-Tool for Students to Self-Monitor their Personal Learning Paths, in Internationale Tagung Wirtschaftsinformatik (WI), Nürnberg, Germany, 2022. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2022/05/JML_872.pdf
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    K. Rösch, Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving, in IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (IEEE CIVTS), IEEE SSCI, IEEE, 2022, S. 86–93. doi: 10.1109/SSCI51031.2022.10022241.
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    A. Schmitt, Examining Trust in Conversational Systems: Conceptual and Empirical Findings on User Trust, Related Behavior, and System Trustworthiness, in AAAI/ACM Conference on AI, Ethics, and Society (AIES), Oxford, United Kingdom, 2022. doi: 10.1145/3514094.3539525.
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    A. Schmitt, M. Walser, und T. B. Fahse, Conceptual Foundations on Debiasing for Machine Learning-Based Software, in International Conference of Information Systems (ICIS), Copenhagen, Denmark, 2022. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2022/11/JML_899.pdf
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    M. Schwede, N. Zierau, A. Janson, M. Hammerschmidt, und J. M. Leimeister, “I Will Follow You!” – How Recommendation Modality Impacts Processing Fluency and Purchase Intention, in International Conference on Information Systems (ICIS), Copenhagen, Denmark, 2022. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2022/10/JML_888.pdf
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    D. Siemon, T. Strohmann, B. Khosrawi-Rad, T. de Vreede, E. Elshan, und M. Meyer, Why Do We Turn to Virtual Companions? A Text Mining Analysis of Replika Reviews, in Americas Conference on Information Systems (AMCIS), Minneapolis, Minnesota, USA, 2022. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2023/04/JML_924.pdf
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    M. Stubbemann und G. Stumme, LG4AV: Combining Language Models and Graph Neural Networks for Author Verification, in Advances in Intelligent Data Analysis XX, T. Bouadi, E. Fromont, und E. Hüllermeier, Hrsg., Cham: Springer International Publishing, 2022, S. 315–326. [Online]. Verfügbar unter: https://link.springer.com/chapter/10.1007/978-3-031-01333-1_25
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2021[ to top ]
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    T. J. Barev, S. Schöbel, A. Janson, und J. M. Leimeister, DELEN – A Process Model for the Systematic Development of Legitimate Digital Nudges, in International Conference on Design Science Research in Information Systems and Technology (DESRIST), L. Chandra Kruse, S. Seidel, und G. I. Hausvik, Hrsg., Cham: Springer, 2021, S. 299–312. doi: 10.1007/978-3-030-82405-1_30.
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    D. Benner, E. Elshan, S. Schöbel, und A. Janson, What do you mean? A Review on Recovery Strategies to Overcome Conversational Breakdowns of Conversational Agents, in International Conference on Information Systems (ICIS), 2021. [Online]. Verfügbar unter: https://pubs.wi-kassel.de/wp-content/uploads/2022/03/JML_864.pdf
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    D. Benner und S. Schöbel, A Theory-Driven Design Science Research Agenda Towards Gamified Videos, in International Conference on Wirtschaftsinformatik (WI), Duisburg-Essen, Germany, März 2021.
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    R. Winkler, S. Hobert, A. Salovaara, M. Söllner, und J. M. Leimeister, Sara, the Lecturer: Improving Learning in Online Education with a Scaffolding-Based Conversational Agent, in CHI ’20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, R. Bernhaupt, F. ’Floyd’ Mueller, D. Verweij, J. Andres, J. McGrenere, A. Cockburn, I. Avellino, A. Goguey, P. Bjøn, S. Zhao, B. P. Samson, und R. Kocielnik, Hrsg., ACM, Apr. 2020, S. 1–14. [Online]. Verfügbar unter: http://dblp.uni-trier.de/db/conf/chi/chi2020.html#WinklerHS0L20
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    T. Bogusz und J. Lamla, Experimentalismus in der Soziologie. Forschungsprogramm und Brückenschläge, in Komplexe Dynamiken globaler und lokaler Entwicklungen. Verhandlungen des 39. Kongresses der Deutschen Gesellschaft für Soziologie in Göttingen 2018, N. Burzan, Hrsg., 2019. [Online]. Verfügbar unter: https://publikationen.soziologie.de/index.php/kongressband_2018
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2018[ to top ]
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    M. Bachmann, M. Morold, und K. David, The Wireless Seat Belt Requirements, Experiments, and Solutions for Pedestrian Safety, in Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Athens, Greece: IEEE, März 2018, S. 250 – 255.
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    M. Bieshaar, Where is my Device? Detecting the Smart Device’s Wearing Position in the Context of Active Safety for Vulnerable Road Users, in Organic Computing: Doctoral Dissertation Colloquium, S. Tomforde und B. Sick, Hrsg., Kassel University Press, 2018.
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    M. Bieshaar, M. Depping, J. Schneegans, und B. Sick, Starting Movement Detection of Cyclists Using Smart Devices, in DSAA, Turin, Italy, 2018.
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    M. S. Billert, Developing And Implementing Citizen-initiated Services, in International Conference on Exporing Service Science (IESS), 2018.
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    M. S. Billert und C. Peters, Grinding A Diamond - The Iterative Development of Citizen-Initiated Services, in European Conference on Information Systems (ECIS), 2018. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2018/07/JML_694.pdf
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    F. Buholzer, R. Rietsche, und M. Söllner, Knowing what Learners Like – Developing a Cultural Sensitive Peer Assessment Process in MOOCs, in Multikonferenz Wirtschaftsinformatik (MKWI), 2018. [Online]. Verfügbar unter: http://pubs.wi-kassel.de/wp-content/uploads/2018/04/JML_682.pdf
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    P. C. Johannes, Analyse offener Datenquellen durch die Polizei: Entgrenzte Internet- und Darknetaufklärung in der Strafverfolgung?, in Die Fortentwicklung des Datenschutzes., A. Roßnagel, M. Hansen, und M. Friedewald, Hrsg., Wiesbaden, Germany: Springer Vieweg, 2018, S. 151–174. [Online]. Verfügbar unter: https://www.springer.com/de/book/9783658237264
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