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Human-Algorithm Interaction

Student Projects in Human-Algorithm Interaction

Contacts (if not stated otherwise): Christine Bauer

These student projects can be started any time (including holidays) and can span over semester boundaries.

Remark: We are open for new proposals - if you are interested in Human-Algorithm Interaction, feel free to contact us!

 

Topics:

Algorithms of various kinds pervade our everyday life: Algorithms are deeply embedded in a sociotechnical ecosystem and it is important to study their nature and impact. How do humans interact with algorithms? How do algorithms influence human cognition and behavior? What is the societal impact of algorithmic intervention?

  • Nudging strategies that can be integrated into recommender systems (Christine Bauer)
  • The influence of music recommender systems on the diversity of music consumed (Christine Bauer)
  • The artist perspective on fair music recommender systems (Christine Bauer)
  • The relationship between music listening behavior and online self-disclosure (Christine Bauer)
  • Conformity behavior in group decisions with mixed groups of human and computational agents (Christine Bauer)
  • The perception of diversity in a set or sequence of recommendations (e.g., music playlist) (Christine Bauer)
  • System characteristics that make a consumer perceive it “intelligent” (Christine Bauer)
  • What do end consumers consider, when creating/organising a playlist (e.g., goal function, characteristics of music, own preferences)? (Christine Bauer)
  • What do professional musicians or music students consider, when creating/organising a playlist (e.g., goal function, characteristics of music, own preferences)? (Christine Bauer)