Spoken query processing for interactive information retrieval
Data & Knowledge Engineering
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ACM SIGIR Forum
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Journal of the American Society for Information Science and Technology - Research Articles
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EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
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Proceedings of the 18th ACM conference on Information and knowledge management
Analysis of multiple query reformulations on the web: The interactive information retrieval context
Information Processing and Management: an International Journal
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ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
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Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Contextual evaluation of query reformulations in a search session by user simulation
Proceedings of the 21st ACM international conference on Information and knowledge management
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Voice search offers users with a new search experience: instead of typing, users can vocalize their search queries. However, due to voice input errors (such as speech recognition errors and improper system interruptions), users need to frequently reformulate queries to handle the incorrectly recognized queries. We conducted user experiments with native English speakers on their query reformulation behaviors in voice search and found that users often reformulate queries with both lexical and phonetic changes to previous queries. In this paper, we first characterize and analyze typical voice input errors in voice search and users' corresponding reformulation strategies. Then, we evaluate the impacts of typical voice input errors on users' search progress and the effectiveness of different reformulation strategies on handling these errors. This study provides a clearer picture on how to further improve current voice search systems.