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With the rise of voice assistants and an increase in mobile search usage,natural language has become an important query language. So far, most of thecurrent systems are not able to process these queries because of the vaguenessand ambiguity in natural language. Users have adapted their query formulationto what they think the search engine is capable of, which adds to theircognitive burden. With our research, we contribute to the design of interactivesearch systems by investigating the genuine information need in a productsearch scenario. In a crowd-sourcing experiment, we collected 132 informationneeds in natural language. We examine the vagueness of the formulations andtheir match to retailer-generated content and user-generated product reviews.Our findings reveal high variance on the level of vagueness and the potentialof user reviews as a source for supporting users with rather vague searchintents.

'A Modern Up-To-Date Laptop' -- Vagueness in Natural Language Queries for Product Search