{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:48:04Z","timestamp":1761007684338,"version":"build-2065373602"},"reference-count":20,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2011,2,3]],"date-time":"2011-02-03T00:00:00Z","timestamp":1296691200000},"content-version":"vor","delay-in-days":94,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc of Assoc for Info"],"published-print":{"date-parts":[[2010,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>A key goal of current research on interactive information seeking is to develop personalized search systems that respond to individual user needs in real time. Ideally, such systems will provide customized recommendations that help the user generate more effective queries. This paper reports on one experiment in a larger study that tests the hypothesis that the visual scanning of ranked search results interferes with the user's ability to recognize potentially useful query terms. Our experiment uses the well\u2010documented phenomenon of semantic priming \u2013 people recognize a word more quickly when they have just encountered (e.g., seen, heard, or thought about) a semantically related word. Recognition is slower when they have not been \u201cprimed\u201d by such an encounter. Using methods from standard semantic priming experiments, we carefully manipulated the semantic relationships between words in a display, and asked participants to indicate their recognition of the words. We also varied the task we asked participants to complete when indicting recognition. This allowed us to measure differences in the level of semantic priming for each type of task. Our results show that in a visual scanning task, word recognition is not advantaged by semantic priming. The finding supports our hypothesis. The primary contributions of this research include: 1) demonstration of the value of the semantic priming paradigm in the study of query formulation and search interaction; 2) development of a new task specifically designed to tease apart the impact of visual and linguistic processing during query reformulation; 3) bringing a novel technique to information retrieval research for the study of interaction, as part of a general movement to apply techniques from cognitive science in the study of cognitive factors that affect search interaction.<\/jats:p>","DOI":"10.1002\/meet.14504701268","type":"journal-article","created":{"date-parts":[[2011,2,3]],"date-time":"2011-02-03T16:35:46Z","timestamp":1296750946000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["Developing a detailed view of query reformulation: One step in an incremental approach"],"prefix":"10.1002","volume":"47","author":[{"given":"Catherine L.","family":"Smith","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nina","family":"Wacholder","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2011,2,3]]},"reference":[{"volume-title":"Words in the Mind: An Introduction to the Mental Lexicon","year":"2003","author":"Aitchison J.","key":"e_1_2_8_2_1"},{"key":"e_1_2_8_3_1","doi-asserted-by":"crossref","unstructured":"Anick P.(2003).Using terminological feedback for web search refinement: a log\u2010based study. InProceedings of the 26th annual international ACM SIGIR Conference on Research and Development in Information Retrieval(pp.88\u201395). Toronto Canada: ACM.","DOI":"10.1145\/860435.860453"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1108\/eb026722"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1108\/eb026726"},{"key":"e_1_2_8_6_1","unstructured":"e\u2010Prime.http:\/\/www.pstnet.com\/eprime.cfm"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-4571(199510)46:9<685::AID-ASI5>3.0.CO;2-S"},{"key":"e_1_2_8_8_1","unstructured":"Gwizdka J.(in press).Distribution of cognitive load in web search.Journal of the American Society for Information Science & Technology."},{"key":"e_1_2_8_9_1","doi-asserted-by":"crossref","unstructured":"Kelly D.&Fu X.(2006).Elicitation of term relevance feedback: an investigation of term source and context. 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Poster Presented at the Association for Library and Information Science Education Annual Conference (iConference '10) Urbana\u2010Champaign IL."},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.5860\/crl_29_03_178"},{"key":"e_1_2_8_17_1","doi-asserted-by":"crossref","unstructured":"Teevan J. Dumais S. T. &Liebling D. J.(2008).To personalize or not to personalize: modeling queries with variation in user intent. InProceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval(pp.163\u2013170). Singapore: ACM.","DOI":"10.1145\/1390334.1390364"},{"key":"e_1_2_8_18_1","doi-asserted-by":"crossref","unstructured":"Vakkari P.(2002).Subject knowledge source of terms and term selection in query expansion: An analytical study. In24th BCS\u2010IRSG European Colloquium on IR Research Glasgow UK March 25\u201327 2002 Proceedings Lecture Notes in Computer Science. 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