Large parts of scientific work relies on seeking for information in very large datasets and respective metadata (e.g., document repositories on the web, databases, local image collections). Based on a search string or even sample data as a query, information retrieval systems (IR systems) return lists of ranked items that match the query, together with a short preview of the item. Using search strings or example data, it is not easy to express certain information needs, however. In this extended abstract we discuss in what way the interaction of a user with an information retrieval (IR) system can optimized with human-aware collaborative planning strategies.

Original languageEnglish
Title of host publicationHumanities-Centred Artificial Intelligence, CHAI 2021 : CEUR Workshop Proceedings
Publication date2021
Publication statusPublished - 2021

Research Areas and Centers

  • Centers: Center for Artificial Intelligence Luebeck (ZKIL)
  • Research Area: Intelligent Systems


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