Prof. Dr. Daniel Buschek

Professor für Mobile Intelligent User Interfaces, Universität Bayreuth

Daniel Buschek ist Professor für Mobile Intelligent User Interfaces und Leiter einer bidt-Nachwuchsgruppe an der Universität Bayreuth. Zuvor arbeitete er in der Arbeitsgruppe Medieninformatik der LMU München, wo er auch seine Promotion mit Forschungsaufenthalten an der University of Glasgow und der Aalto University, Helsinki, abschloss. Er arbeitet an der Schnittstelle von Mensch-Computer-Interaktion und angewandter KI. Konkret erforscht seine Gruppe die Interaktion mit generativen Systemen für Text und Bilder, sowohl konstruktiv als auch kritisch, um Menschen in ihrer kreativen digitalen Arbeit zu unterstützen und die Zukunft von KI-Werkzeugen in einer menschenzentrierten Weise zu gestalten.

daniel.buschek@uni-bayreuth.de
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Beteiligungen und Beiträge
Publikationen
Beteiligungen und Beiträge
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Digitale Gesellschaft

Scientific Writing with AI: Insights, Challenges, and Best Practices

Blog
31. Juli 2024

This study examines ChatGPT’s impact on scientific writing by comparing abstracts created with and without AI assistance.

Digitale Öffentlichkeit

Bots

Glossar

Als Bot wird häufig Software bezeichnet, die etwas selbstständig ausführt. Neben technischen Aspekten stellt der Bot als Schnittstelle zwischen Menschen und Computersystemen zahlreiche Herausforderungen für die Forschung.

Digitale Arbeitswelt

How can interactive AI help us write emails?

Blog
11. Mai 2021

In this project, we built a prototype AI email editor with text generation from Natural Language Processing (NLP) and asked 156 people to write emails with it. We compared different user interface settings and use by native…

Digitale Arbeitswelt

What makes interactive technology ‘intelligent’?

Blog
30. November 2020

In this project, we did not set out with the intention of coming up with a definition of AI or intelligence. Instead, we followed a bottom-up approach: We extracted the emerging perspective on ‘intelligence’ in a research…

Publikationen

  • Zakreuskaya, Anastasiya; Münch, Tobias; Detjen, Henrik; Mayer, Sven; Elagroudy, Passant; Pfleging, Bastian; Draxler, Fiona; Weyers, Benjamin; Gruenefeld, Uwe; Auda, Jonas; Titov, Waldemar; Mackay, Wendy E.; Buschek, Daniel; Kosch, Thomas (2024)

    Workshop on Generative Artificial Intelligence in Interactive Systems: Experiences from the Community

    Konferenzpapier
    Gesellschaft für Informatik e.V., Mensch und Computer 2024 - Workshopband
    DOI: 10.18420/muc2024-mci-ws09-123
    Projekt: NWG-AI Tools
  • Benharrak, Karim; Zindulka, Tim; Buschek, Daniel (2024)

    Deceptive Patterns of Intelligent and Interactive Writing Assistants

    Konferenzpapier
    Association for Computing Machinery, Proceedings of the Third Workshop on Intelligent and Interactive Writing Assistants
    DOI: 10.1145/3690712.3690728
    Projekt: NWG-AI Tools
  • Zakreuskaya, Anastasiya; Buschek, Daniel; Mackay, Wendy E.; Avellino, Ignacio; Dove, Graham; Eskofier, Bjoern M. (2024)

    From Text to Treatment: How Medical Discharge Letters Are Used as a Key Artifact for Managing Patient Care

    Konferenzpapier
    Association for Computing Machinery, Proceedings of Mensch Und Computer 2024
    DOI: 10.1145/3670653.3670665
    Projekt: NWG-AI Tools
  • Buschek, Daniel (2024)

    Collage is the New Writing: Exploring the Fragmentation of Text and User Interfaces in AI Tools

    Konferenzpapier
    Association for Computing Machinery, Proceedings of the 2024 ACM Designing Interactive Systems Conference
    DOI: 10.1145/3643834.3660681
    Projekt: NWG-AI Tools
  • Draxler, Fiona; Werner, Anna; Lehmann, Florian; Hoppe, Matthias; Schmidt, Albrecht; Buschek, Daniel; Welsch, Robin (2024)

    The AI Ghostwriter Effect: When Users do not Perceive Ownership of AI-Generated Text but Self-Declare as Authors

    Zeitschriftenaufsatz
    Association for Computing Machinery, ACM Trans. Comput.-Hum. Interact.
    DOI: 10.1145/3637875
    Projekt: NWG-AI Tools
  • Lee, Mina; Gero, Katy Ilonka; Chung, John Joon Young; Shum, Simon Buckingham; Raheja, Vipul; Shen, Hua; Venugopalan, Subhashini; Wambsganss, Thiemo; Zhou, David; Alghamdi, Emad A.; August, Tal; Bhat, Avinash; Choksi, Madiha Zahrah; Dutta, Senjuti; Guo, Jin L.C.; Hoque, Md Naimul; Kim, Yewon; Knight, Simon; Neshaei, Seyed Parsa; Shibani, Antonette; Shrivastava, Disha; Shroff, Lila; Sergeyuk, Agnia; Stark, Jessi; Sterman, Sarah; Wang, Sitong; Bosselut, Antoine; Buschek, Daniel; Chang, Joseph Chee; Chen, Sherol; Kreminski, Max; Park, Joonsuk; Pea, Roy; Rho, Eugenia Ha Rim; Shen, Zejiang; Siangliulue, Pao (2024)

    A Design Space for Intelligent and Interactive Writing Assistants

    Konferenzpapier
    Association for Computing Machinery, Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
    DOI: 10.1145/3613904.3642697
    Projekt: NWG-AI Tools
  • Benharrak, Karim; Zindulka, Tim; Lehmann, Florian; Heuer, Hendrik; Buschek, Daniel (2024)

    Writer-Defined AI Personas for On-Demand Feedback Generation

    Konferenzpapier
    Association for Computing Machinery, Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
    DOI: 10.1145/3613904.3642406
    Projekt: NWG-AI Tools
  • Rossmy, Beat; Terzimehić, Naa; Döring, Tanja; Buschek, Daniel; Wiethoff, Alexander (2023)

    Point of No Undo: Irreversible Interactions as a Design Strategy

    Konferenzpapier
    Proceedings of the 2023 CHI 2023
    DOI: 10.1145/3544548.3581433
    Projekt: NWG-AI Tools
  • Liebers, Jonathan; Gruenefeld, Uwe; Buschek, Daniel; Alt, Florian; Schneegass, Stefan (2023)

    Introduction to Authentication Using Behavioral Biometrics

    Konferenzpapier
    Extended Abstracts of the 2023 2023
    DOI: 10.1145/3544549.3574190
    Projekt: NWG-AI Tools
  • Lehmann, Florian; Kornecki, Itto; Buschek, Daniel; Feit, Anna Maria (2023)

    Typing Behavior is About More than Speed: Users’ Strategies for Choosing Word Suggestions Despite Slower Typing Rates

    Konferenzpapier
    Proceedings of the ACM Hum.-Comput. Interact., Band: 7, New York, NY, USA, Association for Computing Machinery
    DOI: 10.1145/3604276
    Projekt: NWG-AI Tools
  • Jakesch, Maurice; Bhat, Advait; Buschek, Daniel; Zalmanson, Lior; Naaman, Mor (2023)

    Co-Writing with Opinionated Language Models Affects Users’ Views

    Konferenzpapier
    Proceedings of the 2023 CHI 2023
    DOI: 10.1145/3544548.3581196
    Projekt: NWG-AI Tools
  • Dang, Hai; Goller, Sven; Lehmann, Florian; Buschek, Daniel (2023)

    Choice Over Control: How Users Write with Large Language Models Using Diegetic and Non-Diegetic Prompting

    Konferenzpapier
    Proceedings of the 2023 CHI 2023
    DOI: 10.1145/3544548.3580969
    Projekt: NWG-AI Tools
  • Wintersberger, Philipp; van Berkel, Niels; Fereydooni, Nadia; Tag, Benjamin; Glassman, Elena L.; Buschek, Daniel; Blandford, Ann; Michahelles, Florian (2022)

    Designing for Continuous Interaction with Artificial Intelligence Systems

    Konferenzpapier
    Barbosa, Lampe et al., Proceedings of the CHI Conference on Human Factors, S. 1-4
    DOI: 10.1145/3491101.3516409
    Projekt: NWG-AI Tools
  • Schneegass, Christina; Sigethy, Sophia; Mitrevska, Teodora; Eiband, Malin; Buschek, Daniel (2022)

    UnlockLearning – Investigating the Integration of Vocabulary Learning Tasks into the Smartphone Authentication Process

    Zeitschriftenaufsatz
    i-com, Band: 21, Nr. 1, S. 157-174
    DOI: 10.1515/icom-2021-0037
    Projekt: NWG-AI Tools
  • Ou, Changkun; Buschek, Daniel; Mayer, Sven; Butz, Andreas (2022)

    The Human in the Infinite Loop: A Case Study on Revealing and Explaining Human-AI Interaction Loop Failures

    Konferenzpapier
    Mühlhäuser, Reuter et al., Proceedings of the Mensch und Computer 2022, S. 158-168
    DOI: 10.1145/3543758.3543761
    Projekt: NWG-AI Tools
  • Lehmann, Florian; Markert, Niklas; Dang, Hai; Buschek, Daniel (2022)

    Suggestion Lists vs. Continuous Generation: Interaction Design for Writing with Generative Models on Mobile Devices Affect Text Length, Wording and Perceived Authorship

    Konferenzpapier
    Mühlhäuser, Reuter et al., Proceedings of the Mensch und Computer 2022, S. 192-208
    DOI: 10.1145/3543758.3543947
    Projekt: NWG-AI Tools
  • Dang, Hai; Mecke, Lukas; Lehmann, Florian; Goller, Sven; Buschek, Daniel (2022)

    How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models

    Konferenzpapier
    Proceedings of the Generative AI and HCI Workshop 2022
    Projekt: NWG-AI Tools
  • Dang, Hai; Mecke, Lukas; Buschek, Daniel (2022)

    GANSlider: How Users Control Generative Models for Images using Multiple Sliders with and without Feedforward Information

    Konferenzpapier
    Barbosa, Lampe et al., Proceedings of CHI Conference on Human Factors, S. 1-15
    DOI: 10.1145/3491102.3502141
    Projekt: NWG-AI Tools
  • Dang, Hai; Benharrak, Karim; Lehmann, Florian; Buschek, Daniel (2022)

    Beyond Text Generation: Supporting Writers with Continuous Automatic Text Summaries

    Konferenzpapier
    Agrawala, Wobbrock et al., Proceedings of the 35th Annual ACM Symposium, S. 1-13
    DOI: 10.1145/3526113.3545672
    Projekt: NWG-AI Tools
  • Buschek, Daniel; Eiband, Malin; Hussmann, Heinrich (2022)

    How to Support Users in Understanding Intelligent Systems? An Analysis and Conceptual Framework of User Questions Considering User Mindsets, Involvement, and Knowledge Outcomes

    Konferenzpapier
    Proceedings of the ACM Trans. Interact. Intell. Syst. (ACM Transactions on Interactive Intelligent Systems), Band: 12, Nr. 4, S. 1-27
    DOI: 10.1145/3519264
    Projekt: NWG-AI Tools
  • Buschek, Daniel (2022)

    Probabilistic UI Representation and Reasoning in Touch Interfaces

    Beitrag in ...
    Williamson, Oulasvirta et al., Bayesian Methods for Interaction, S. 163-187
    Projekt: NWG-AI Tools
  • Benharrak, Karim; Lehmann, Florian; Dang, Hai; Buschek, Daniel (2022)

    SummaryLens – A Smartphone App for Exploring Interactive Use of Automated Text Summarization in Everyday Life

    Konferenzpapier
    Proceedings of 27th International Conference on Intelligent 2022, S. 93-96
    DOI: 10.1145/3490100.3516471
    Projekt: NWG-AI Tools
  • Abdrabou, Yasmeen; Schütte, Johannes; Shams, Ahmed; Pfeuffer, Ken; Buschek, Daniel; Khamis, Mohamed; Alt, Florian (2022)

    ”Your Eyes Tell You Have Used This Password Before”: Identifying Password Reuse from Gaze and Keystroke Dynamics

    Konferenzpapier
    Barbosa, Lampe et al., Proceedings of CHI Conference on Human Factors, S. 1-16
    DOI: 10.1145/3491102.3517531
    Projekt: NWG-AI Tools