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Malin Eiband

schoolLudwig Maximilian University of Munichbar_chart#1541 Global Rank
Total Papers
7
HCI Rank
#1541
Research Areas
5
Years Active
3

Personal Information

  • KeywordsHuman-Computer InteractionTransparency Design for Intelligent SystemsVoice AssistantsGenerative AIUser Experience
  • OrganizationBavarian Motor Works Group (BMW Group)
  • EducationLudwig-Maximilians-Universität München (University of Munich)
  • Emailmalin.eiband@bmw.de

Social Media & Links

Biography

Malin Eiband is a researcher specializing in the field of Human-Computer Interaction. She currently conducts research at Bavarian Motor Works Group (BMW Group) while maintaining an academic collaboration with Ludwig-Maximilians-Universität München (University of Munich). Her research interests include transparency design in intelligent systems, conversational analysis of voice assistants, and the application of generative AI in design workflows. As an active scholar, Malin has published several academic papers covering user experience design, behavioral modeling, and how artificial intelligence can enhance the efficiency and interpretability of human-computer interactions.

Work Experience

  • Present·Bavarian Motor Works Group·Researcher
    • Focused on research and technical development in Human-Computer Interaction, exploring the design and application of generative AI and intelligent systems.

Education

  • Present·Ludwig-Maximilians-Universität München·PhD (Dr. rer. nat.)
    • Researching transparency design for intelligent systems and user experience.

This biography was generated by AI from publicly available information and may contain delays or inaccuracies.

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