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Dagmar Kern

2 papers indexed

arxivcs.HCcs.IR2026-07-23

Transparent by Design, Usable in Practice? A Formative Usability Study of a Conversational Product Advisor

Kevin Schott, Dagmar Kern, Daniel Hienert

Large language models can make conversational product advisors fluent but opaque. If they hide the logic behind a ranking and the evidence for a recommendation inside natural-language replies, they challenge users' ability to understand, trust, and steer the results. One response…

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arxivcs.IRcs.HC2026-07-03

AI Overviews in Academic Search: Evaluating AI-generated Summaries of Search Results in a Domain-specific Search Engine

Kevin Schott, Kanishka Silva, Ingo Frommholz, Philipp Mayr, Dagmar Kern, Daniel Hienert

Evaluating search engine results pages (SERPs) to assess result relevance is a demanding step in academic search. In a formative mixed-methods design study, we examine AI-generated SERP-level summaries as a support feature in an academic search engine for social science informati…

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