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W2798575418 abstract "Query suggestions are a standard means to clarify the intent of underspecified queries. In a voice-based search setting, the compilation of query suggestions is not straightforward, and user-centric research targeting query underspecification is lacking so far. Our paper analyses a specific type of ambiguous voice queries and studies the impact of various kinds of voice query clarifications offered by the system and its impact on user satisfaction. We conduct a user study that measures the satisfaction for clarifications that are explicitly invoked and presented by seven different methods. Our findings include that (1) user experience depends on language proficiency levels, (2) users are not dissatisfied when prompted for clarifications (in fact, enjoy it sometimes), and (3) the most effective way of query clarification depends on the number and lengths of the possible answers." @default.
W2798575418 created "2018-05-07" @default.
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W2798575418 date "2018-06-27" @default.
W2798575418 modified "2023-10-14" @default.
W2798575418 title "Toward Voice Query Clarification" @default.
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W2798575418 doi "https://doi.org/10.1145/3209978.3210160" @default.
W2798575418 hasPublicationYear "2018" @default.
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