Search (4 results, page 1 of 1)

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Abstract

With the use of machine learning and other advances, modern information search systems make it easy for searchers to access information to meet their most frequent information needs. Building from Kuhlthau's concepts of exploration and differentiating, this article argues that along with the benefits of greater accessibility, these advances impede the development of information literacy, conceptualized as processes for planning, accessing, judging and communicating information. It is argued that information literacy emerges during interaction with search systems and modern system designs hide or render unworkable the contextual information needed for the judgment processes of information literacy. In response to these concerns, the article contributes desiderata for new designs that facilitate the discovery, navigation and use of context information.

Date

16. 3.2019 14:33:22

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Abstract

Although modern search systems require minimal skill for meeting simple information needs, most systems provide weak support for gaining advanced skill; hence, the goal of designing systems that guide searchers in developing expertise. Essential to developing such systems are a description of expert search behavior and an understanding of how it may be acquired. The present study contributes a detailed analysis of the query behavior of 10 students as they completed assigned exercises during a semester-long course on expert search. Detailed query logs were coded for three dimensions of query expression: the information structure searched, the type of query term used, and intent of the query with respect to specificity. Patterns of query formulation were found to evidence a progression of instruction, suggesting that the students gained knowledge of fundamental system-independent constructs that underlie expert search, and that domain-independent search expertise may be defined as the ability to use these constructs. Implications for system design are addressed.

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Abstract

Modern search systems often meet their users' information needs, but when the system fails, searchers struggle to formulate effective queries. Query suggestions may help, but research suggests these often go unused. Although much is known about how searchers scan results pages when assessing relevance, little is known about the processes searchers use when struggling to reformulate queries. Investigating how searchers overcome query difficulties, and how search systems help and hinder that process, requires enquiry into the cognitive procedures searchers use to select words for queries. The purpose of this paper is to investigate one cognitive process involved: semantic priming of words in memory. A framework for conceptualizing the role of semantic priming in search interaction is presented, along with results from two experiments that applied research methods from cognitive psychology, in an investigation of word selection and subsequent search for selected words. The results show that word selection activates related words in memory and that looking for a selected word among related words is effortful. The finding suggests that semantic priming may play a role in the difficulties people experience when reformulating queries. Ideas for continued development of semantic priming methods and their use in future research are also presented.

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Abstract

This longitudinal study examined the search behavior of 10 students as they completed assigned exercises for an online professional course in expert searching. The research objective was to identify, describe, and hypothesize about features of the behavior that are indicative of procedural knowledge gained during guided instruction. Log-data of search interaction were coded using a conceptual framework focused on components of search practice hypothesized to organize an expert searcher's attention during search. The coded data were analyzed using a measure of pointwise mutual information and state-transition analysis. Results of the study provide important insight for future investigation of domain-independent search expertise and for the design of systems that assist searchers in gaining expertise.