Merlin_Knaeble

M.Sc. Merlin Knäble

  • Karlsruhe Institute of Technology (KIT)
    Fakultät für Wirtschaftswissenschaften
    Institut für Wirtschaftsinformatik und Marketing
    Kollegiengebäude am Kronenplatz (05.20)
    Kaiserstraße 89, 76133 Karlsruhe

Research Interests

  • Interactive Machine Learning
  • Interactive Labeling & Training Data Creation
  • Human-AI Interaction
  • Human-Computer Interaction

Short CV

2020-now Doctoral Researcher, ISSD, IISM, KIT
2017-2020 M.Sc. Information Engineering & Management, KIT
2017-2020 Junior Researcher, ISSD, IISM, KIT
2014-2017 B.Sc. Information Engineering & Management, KIT

Teaching

  • team project "Interactive Document Labeling Platform"
  • ISSD literature review seminar (fall semester 2020, organization)
  • CDT seminar (fall semester 2020, organization)
  • Interactive Analytics Seminar (further information)
  • various topics along my research interests in abovementioned seminars
  • Wirtschaftsinformatik 1 & 2 lecture (starting summer semester 2021)
  • for current thesis offerings check https://h-lab.iism.kit.edu/thesis.php
  • Always open for Bachelor's & Master's thesis proposals from motivated students!

Publications


Journal Articles
2020
  1. Power to the Oracle? Design Principles for Interactive Labeling Systems in Machine Learning
    Nadj, M.; Knaeble, M.; Li, M. X.; Maedche, A.
    2020. Künstliche Intelligenz, 34, 131–142. doi:10.1007/s13218-020-00634-1
Conference Papers
2024
  1. Designing for Effective Human-Guided Machine Learning Feasibility Analysis
    Gunklach, J.; Nadj, M.; Knaeble, M.; Bragaglia, I.; Mädche, A.
    2024. Human Technology Interaction : International Conference on Information Systems, 1–17, AIS eLibrary (AISeL)
  2. HILL: A Hallucination Identifier for Large Language Models
    Leiser, F.; Eckhardt, S.; Leuthe, V.; Knaeble, M.; Maedche, A.; Schwabe, G.; Sunyaev, A.
    2024. CHI ’24: Proceedings of the CHI Conference on Human Factors in Computing Systems. Ed.: F. Mueller, Art.-Nr.: 482, Association for Computing Machinery (ACM). doi:10.1145/3613904.3642428
2023
  1. From ChatGPT to FactGPT: A Participatory Design Study to Mitigate the Effects of Large Language Model Hallucinations on Users
    Leiser, F.; Eckhardt, S.; Knaeble, M.; Mädche, A.; Schwabe, G.; Sunyaev, A.
    2023. Mensch und Computer 2023, 81–90, Association for Computing Machinery (ACM)
  2. "Garbage In, Garbage Out”: Mitigating Human Biases in Data Entry by Means of Artificial Intelligence
    Eckhardt, S.; Knaeble, M.; Bucher, A.; Staehelin, D.; Dolata, M.; Agotai, D.; Schwabe, G.
    2023. J. Abdelnour Nocera (Ed.), Human-Computer Interaction – INTERACT 2023 – 19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Proceedings, Part III. Ed.: J. Abdelnour Nocera, 27 – 48, Springer Nature Switzerland. doi:10.1007/978-3-031-42286-7_2
  3. Tools of Trade of the Next Blue-Collar Job? Antecedents, Design Features, and Outcomes of Interactive Labeling SystemsFeatures, and Outcomes of Interactive Labeling Systems
    Knaeble, M.; Nadj, M.; Germann, L.; Maedche, A.
    2023. ECIS 2023 Proceedings
  4. AutoChemplete - Making Chemical Structural Formulas Accessible
    Knaeble, M.; Sailer, G.; Chen, Z.; Schwarz, T.; Yang, K.; Nadj, M.; Stiefelhagen, R.; Maedche, A.
    2023. W4A ’23: 20th International Web for All Conference Austin TX USA 30 April 2023- 1 May 2023, 173–174, Association for Computing Machinery (ACM). doi:10.1145/3587281.3587293
2022
  1. Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data
    Scholch, L.; Steinhauser, J.; Beichter, M.; Seibold, C.; Yang, K.; Knaeble, M.; Schwarz, T.; Maedche, A.; Stiefelhagen, R.
    2022. 2022 26th International Conference on Pattern Recognition (ICPR), 1607–1613, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICPR56361.2022.9956453
  2. Accessible Chemical Structural Formulas Through Interactive Document Labeling
    Knaeble, M.; Chen, Z.; Schwarz, T.; Sailer, G.; Yang, K.; Stiefelhagen, R.; Maedche, A.
    2022. Computers Helping People with Special Needs – 18th International Conference, ICCHP-AAATE 2022, Lecco, Italy, July 11–15, 2022, Proceedings, Part I. Ed.: K. Miesenberger, 38–46, Springer International Publishing. doi:10.1007/978-3-031-08648-9_6
  3. Paintings, not Noise - The Role of Variety and Self-Determination in Labeling Work and its Effects on Psychological and Performance Outcomes
    Knaeble, M.; Nadj, M.; Maedche, A.
    2022. CHI 2022 Workshop - Self-Determination Theory in HCI: Shaping a Research Agenda
  4. Toward User-adaptive Interactive Labeling on Crowdsourcing Platforms
    Knaeble, M.; Nadj, M.; Maedche, A.; Loewe, N.
    2022. CHI 2022 Workshop - REGROW: Reimagining Global Crowdsourcing for Better Human-AI Collaboration
2021
  1. An Interactive Machine Learning System for Image Advertisements
    Foerste, M.; Nadj, M.; Knaeble, M.; Maedche, A.; Gehrmann, L.; Stahl, F.
    2021. Mensch und Computer 2021 (MuC ’21), Ingolstadt, 5.-8.9.2021, 574–577, Association for Computing Machinery (ACM). doi:10.1145/3473856.3474027
2020
  1. Oracle or Teacher? A Systematic Overview of Research on Interactive Labeling for Machine Learning
    Knaeble, M.; Nadj, M.; Maedche, A.
    2020. 15. Internationale Tagung Wirtschaftsinformatik (WI 2020), Potsdam, 9 - 11 März 2020, 2–16, GITO Verlag. doi:10.30844/wi_2020_a1-knaeble
2018
  1. Designing Uncertainty-Aware Dashboards for Software Development Projects
    Knaeble, M.; Nadj, M.; Maedche, A.
    2018. 13th International Conference on Design Science Research in Information Systems and Technology (DESRIST), Chennai, IND, June 3-6, 2018, 1–15
Reports/Preprints
2024
  1. HILL: A Hallucination Identifier for Large Language Models
    Leiser, F.; Eckhardt, S.; Leuthe, V.; Knaeble, M.; Maedche, A.; Schwabe, G.; Sunyaev, A.
    2024. arxiv. doi:10.48550/arXiv.2403.06710
Research Data
2021
  1. The Economist Historical Advertisements - Objects Dataset
    Ammann, N.; Knaeble, M.; Nadj, M.; Maedche, A.; Kluge, S.; Gehrmann, L.; Stahl, F.
    2021. doi:10.7801/386
  2. The Economist Historical Advertisements - Faces Dataset
    Ammann, N.; Knaeble, M.; Nadj, M.; Maedche, A.; Kluge, S.; Gehrmann, L.; Stahl, F.
    2021. doi:10.7801/384
  3. The Economist Historical Advertisements - Industry Subset ’Banking’
    Kluge, S.; Gehrmann, L.; Stahl, F.; Knaeble, M.; Nadj, M.; Maedche, A.
    2021. doi:10.7801/383
  4. The Economist Historical Advertisements – Master Dataset
    Kluge, S.; Gehrmann, L.; Stahl, F.; Knaeble, M.; Nadj, M.; Maedche, A.
    2021. doi:10.7801/382