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Teevan, Jaime
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Guidelines for human-AI interaction
Amershi S., Weld D., Vorvoreanu M., Fourney A., Nushi B., Collisson P., Suh J., Iqbal S., Bennett P., Inkpen K., Teevan J., Kikin-Gil R., Horvitz E. CHI 2019 (Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, Glasgow, UK, May 4-9, 2019) 1-13, 2019. Type: Proceedings
From a human-computer interaction (HCI) perspective, the arrival of virtual assistants (for example, Alexa, Siri, Google Assistant, and Bixby) has led to a shift in interaction mode from visual to speech-based: instead of manipulating ...
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Jun 20 2019
Modeling and analysis of cross-session search tasks
Kotov A., Bennett P., White R., Dumais S., Teevan J. SIGIR 2011 (Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, Beijing, China, Jul 24-28, 2011) 5-14, 2011. Type: Proceedings
Current search engines cannot provide acceptable results for complicated needs that require a user to issue a series of queries in multiple search sessions (“cross-session” in this paper), such as when planning a va...
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Feb 23 2012
How people recall, recognize, and reuse search results
Teevan J. ACM Transactions on Information Systems 26(4): 1-27, 2008. Type: Article
Teevan is a specialist in search and information retrieval for Microsoft Research. In this paper, she addresses three topics that are central to effective search performance by the searcher (user) and effective product design by the pr...
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Dec 5 2008
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