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Auflistung nach Autor:in "Norkute, Milda"

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  • Workshopbeitrag
    Human in the loop information extraction increases efficiency and trust
    (Mensch und Computer 2022 - Workshopband, 2022) Schleith, Johannes; Hoffmann, Hella; Norkute, Milda; Cechmanek, Brian
    Automation is often focused on data-centred measures of success, such as accuracy of the automation or efficiency gain of individual automated steps. This case study shows how a human-assisted information extraction system, that keeps the human in the loop throughout the creation of information extraction rules and their application, can outperform less transparent information extraction systems in terms of overall end-to-end time-on-task and perceived trust. We argue that the time gained through automation can be wiped out by the perceived need of end users to review and comprehend results, where the systems seem obscure to them.
  • Workshopbeitrag
    The Role of Explanations of AI Systems: Beyond Trust and Helping to Form Mental Models
    (Mensch und Computer 2021 - Workshopband, 2021) Norkute, Milda
    This paper discusses research that explored different roles for explanations of AI systems. A lot of the research focuses on investigating the role of explanations in mediating the level of users’ trust in the AI system and helping them form correct mental models about it. This paper argues that more research should be dedicated to investigate the alternative roles that explanations could play in supporting the user’s interactions with AI systems such as helping them enrich the AI suggestions they are presented with or correct them, help users do tasks more efficiently and effectively.