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Sa, N.; Yuan, X.(J.): Improving the effectiveness of voice search systems through partial query modification (2022)
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- Abstract
- This paper addresses the importance of improving the effectiveness of voice search systems through partial query modification. A user-centered experiment was designed to compare the effectiveness of an experimental system using partial query modification feature to a baseline system in which users could issue complete queries only, with 32 participants each searching on eight different tasks. The results indicate that the participants spent significantly more time preparing the modification but significantly less time speaking the modification by using the experimental system than by using the baseline system. The participants found that the experimental system (a) was more effective, (b) gave them more control, (c) was easier for the search tasks, and (d) saved them time than the baseline system. The results contribute to improving future voice search system design and benefiting the research community in general. System implications and future work were discussed.
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Niu, X.; Hemminger, B.: Analyzing the interaction patterns in a faceted search interface (2015)
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-
Loosen, D.: Suchstrategien im bibliothekarischen Informationsdienst : Definitionen und Probleme sowie Entwicklung allgemeiner und beispielhafter Handlungsweisen (1988)
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- Type
- x
-
Lempert, Y.: Suchstrategien in Kinder-OPACs : Vorstellung ausgewählter Beispiele und Anforderungen an Dokumentationssprachen (1998)
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Morse, P.M.: Search theory and browsing (1970)
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- 22. 5.2005 19:53:09
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Morse, P.M.: Browsing and search theory (1973)
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- 22. 5.2005 19:52:29
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Branch, J.L.: Investigating the information-seeking process of adolescents : the value of using think alouds and think afters (2000)
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- Source
- Library and information science research. 22(2000) no.4, S.371-382
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Sun, X.; Zhou, X.; Wang, Q.; Sharples, S.: Investigating the impact of emotions on perceiving serendipitous information encountering (2022)
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Rehkop, B.: 'Quick-and-dirty' company searches : four options (1992)
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Snow, B.: ¬The Internet's hidden content and how to find it (2000)
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Waschatz, B.: Schmökern ist schwierig : Viele Uni-Bibliotheken ordnen ihre Bücher nicht - Tipps für eine erfolgreiche Suche (2010)
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- Date
- 3. 5.1997 8:44:22
-
Pejtersen, A.M.: Design of a classification scheme for fiction based on an analysis of actual user-librarian communication, and use of the scheme for control of librarians' search strategies (1980)
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- Date
- 5. 8.2006 13:22:44
-
Yuan, X.; Belkin, N.J.: Evaluating an integrated system supporting multiple information-seeking strategies (2010)
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Lu, L.; Yuan, U.: Shall I Google it or ask the competent villain down the hall? : the moderating role of information need in information source selection (2011)
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- Abstract
- Previous studies have found that both (a) the characteristics (e.g., quality and accessibility) and (b) the types of sources (e.g., relational and nonrelational sources) influence information source selection. Different from earlier studies that have prioritized one source attribute over the other, this research uses information need as a contingency factor to examine information seekers' simultaneous consideration of different attributes. An empirical test from 149 employees' evaluations of eight information sources revealed that (a) low-and high-information-need individuals favored information source quality over accessibility while medium-information-need individuals favored accessibility over quality; and (b) individuals are more likely to choose relational over nonrelational sources as information need increases.
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Taylor, A.; Zhang, X.; Amadio, W.J.: Examination of relevance criteria choices and the information search process (2009)
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Yuan, X.; Belkin, N.J.: Investigating information retrieval support techniques for different information-seeking strategies (2010)
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White, R.W.; Roth, R.A.: Exploratory search : beyond the query-response paradigm (2009)
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- Pages
- X,98 S
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He, W.; Tian, X.: ¬A longitudinal study of user queries and browsing requests in a case-based reasoning retrieval system (2017)
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Liu, J.; Zhang, X.: ¬The role of domain knowledge in document selection from search results (2019)
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Kang, X.; Wu, Y.; Ren, W.: Toward action comprehension for searching : mining actionable intents in query entities (2020)
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