Search (40 results, page 1 of 2)

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Source

Library and information science research. 22(2000) no.4, S.371-382

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Abstract

This is the second of two articles published in this issue of JASIST reporting the results of a study investigating relationships between Web search strategies and a range of human individual differences. In this article we provide a combined analysis of the factor analyses previously presented separately in relation to each of three groups of human individual difference (study approaches, cognitive and demographic features, and perceptions of and approaches to Internet-based information seeking). It also introduces two series of regression analyses conducted an data spanning all three individual difference groups. The results are discussed in terms of the extent to which they satisfy the original aim of this exploratory research, namely to identify any relationships between search strategy and individual difference variables for which there is a prima facie case for more focused systematic study. It is argued that a number of such relationships do exist. The results of the project are summarized and suggestions are made for further research.

Source

Journal of the American Society for Information Science and Technology. 56(2005) no.7, S.757-764

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Abstract

The research reported here was an exploratory study that sought to discover the effects of human individual differences an Web search strategy. These differences consisted of (a) study approaches, (b) cognitive and demographic features, and (c) perceptions of and preferred approaches to Web-based information seeking. Sixtyeight master's students used AItaVista to search for information an three assigned search topics graded in terms of complexity. Five hundred seven search queries were factor analyzed to identify relationships between the individual difference variables and Boolean and best-match search strategies. A number of consistent patterns of relationship were found. As task complexity increased, a number of strategic shifts were also observed an the part of searchers possessing particular combinations of characteristics. A second article (published in this issue of JASIST; Ford, Miller, & Moss, 2005) presents a combined analyses of the data including a series of regression analyses.

Source

Journal of the American Society for Information Science and Technology. 56(2005) no.7, S.741-756

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Abstract

In this issue we begin with the first of four parts of a five part series of papers by Spink, Wilson, Ford, Foster, and Ellis. Spink, et alia, in the first section of this report set forth the design of a project to test whether existing models of the information search process are appropriate for an environment of mediated successive searching which they believe characterizes much information seeking behavior. Their goal is to develop an integrated model of the process. Data were collected from 198 individuals, 87 in Texas and 111 in Sheffield in the U.K., with individuals with real information needs engaged in interaction with operational information retrieval systems by use of transaction logs, recordings of interactions with intermediaries, pre, and post search interviews, questionnaire responses, relevance judgments of retrieved text, and responses to a test of cognitive styles. Questionnaires were based upon the Kuhlthau model, the Saracevic model, the Ellis model, and incorporated a visual analog scale to avoid a consistency bias.

Source

Journal of the American Society for Information Science and Technology. 53(2002) no.9, S.695-703

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Abstract

A study of the "real world" Web information searching behavior of 206 college students over a 10-month period showed that, contrary to expectations, the users adopted a more passive or browsing approach to Web information searching and became more eclectic in their selection of Web hosts as they gained experience. The study used a longitudinal transaction log analysis of the URLs accessed during 5,431 user days of Web information searching to detect changes in information searching behavior associated with increased experience of using the Web. The findings have implications for the design of future Web information retrieval tools

Source

Journal of the American Society for Information Science and technology. 53(2002) no.2, S.67-78

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Abstract

In this paper, we define and present a comprehensive classification of user intent for Web searching. The classification consists of three hierarchical levels of informational, navigational, and transactional intent. After deriving attributes of each, we then developed a software application that automatically classified queries using a Web search engine log of over a million and a half queries submitted by several hundred thousand users. Our findings show that more than 80% of Web queries are informational in nature, with about 10% each being navigational and transactional. In order to validate the accuracy of our algorithm, we manually coded 400 queries and compared the results from this manual classification to the results determined by the automated method. This comparison showed that the automatic classification has an accuracy of 74%. Of the remaining 25% of the queries, the user intent is vague or multi-faceted, pointing to the need for probabilistic classification. We discuss how search engines can use knowledge of user intent to provide more targeted and relevant results in Web searching.

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Abstract

Meho and Tibbo show that the Ellis model of information seeking applies to a web environment by way of a replication of his study in this case using behavior of social science faculty studying stateless nations, a group diverse in skills, origins, and research specialities. Data were collected by way of e-mail interviews. Material on stateless nations was limited to papers in English on social science topics published between 1998 and 2000. Of these 251 had 212 unique authors identified as academic scholars and had sufficient information to provide e-mail addresses. Of the 139 whose addresses were located, 9 who were physically close were reserved for face to face interviews, and of the remainder 60 agreed to participate and responded to the 25 open ended question interview. Follow up questions generated a 75% response. Of the possible face to face interviews five agreed to participate and provided 26 thousand words as opposed to 69 thousand by the 45 e-mail participants. The activities of the Ellis model are confirmed but four additional activities are also identified. These are accessing, i.e. finding the material identified in indirect sources of information; networking, or the maintaining of close contacts with a wide range of colleagues and other human sources; verifying, i.e. checking the accuracy of new information; and information managing, the filing and organizing of collected information. All activities are grouped into four stages searching, accessing, processing, and ending.

Source

Journal of the American Society for Information Science and technology. 54(2003) no.6, S.569-586

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Abstract

In this article, we report results of an investigation into the effect of sponsored links on ecommerce information seeking on the Web. In this research, 56 participants each engaged in six ecommerce Web searching tasks. We extracted these tasks from the transaction log of a Web search engine, so they represent actual ecommerce searching information needs. Using 60 organic and 30 sponsored Web links, the quality of the Web search engine results was controlled by switching nonsponsored and sponsored links on half of the tasks for each participant. This allowed for investigating the bias toward sponsored links while controlling for quality of content. The study also investigated the relationship between searching self-efficacy, searching experience, types of ecommerce information needs, and the order of links on the viewing of sponsored links. Data included 2,453 interactions with links from result pages and 961 utterances evaluating these links. The results of the study indicate that there is a strong preference for nonsponsored links, with searchers viewing these results first more than 82% of the time. Searching self-efficacy and experience does not increase the likelihood of viewing sponsored links, and the order of the result listing does not appear to affect searcher evaluation of sponsored links. The implications for sponsored links as a long-term business model are discussed.

Source

Journal of the American Society for Information Science and Technology. 57(2006) no.14, S.1949-1961

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Abstract

This article reports the results of a study of the role of individual differences in Internet searching. The dimensions of individual differences forming the focus of the research consisted of: cognitive styles; levels of prior experience; Internet perceptions; study approaches; age; and gender. Sixty-nine Masters students searched for information on a prescribed topic using the AItaVista search engine. Results were assessed using simple binary relevance judgements. Factor analysis and multiple regression revealed interesting differences, retrieval effectiveness being linked to: male gender; low cognitive complexity; an imager (as opposed to verbalizer) cognitive style; and a number of Internet perceptions and study approaches grouped here as indicating low self-efficacy. The implications of these findings for system development and for future research are discussed.

Source

Journal of the American Society for Information Science and technology. 52(2001) no.12, S.1049-1066

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Abstract

Collating data from a number of log and questionnaire studies conducted largely into the use of a range of consumer health digital information platforms, Centre for Information Behaviour and the Evaluation of Research (Ciber) researchers describe some new thoughts on characterising (and naming) information seeking behaviour in the digital environment, and in so doing, suggest a new typology of digital users. The characteristic behaviour found is one of bouncing in which users seldom penetrate a site to any depth, tend to visit a number of sites for any given information need and seldom return to sites they once visited. They tend to "feed" for information horizontally, and whether they search a site of not depends heavily on "digital visibility", which in turn creates all the conditions for "bouncing". The question whether this type of information seeking represents a form of "dumbing down or up", and what it all means for publishers, librarians and information providers, who might be working on other, possible outdated usage paradigms, is discussed.

Source

Journal of documentation. 60(2004) no.1, S.24-43

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Abstract

In "Part 4. Cognitive Styles in Information Seeking,'' where Ford is the primary author, the results of the application of the Riding's Cognitive Styles Analysis and the Pask's holist/serialist portion of the Ford's Study Process Questionnaire to the 111 U.K. participants. were correlated using Spearman's coefficient with reports of focused thinking, degree of change in the intermediary's perception of the problem and personal knowledge, problem stage, degree of differentiating activity, change in problem perception, engagement in exploring activity, changes in questioning, valuing of serendipitous information, and other variables. The results would indicate that field independent individuals report clearer more focused thinking, see themselves in an earlier problem stage, and report higher levels of change in perception of the problem. Holists value serendipity and report engagement in Kuhlthau's exploring stage. They are seen by intermediaries as exhibiting fewer changes in questioning behavior. A fifth section will appear in a later issue.

Source

Journal of the American Society for Information Science and Technology. 53(2002) no.9, S.728-735

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Abstract

Purpose - A common criticism of research into information seeking on the internet is that information seekers are restricted by the demands of the researcher. Another criticism is that the search topics, are often imposed by the researcher, and; particularly when working with children, domain knowledge could be as important as information-seeking skills. The research reported here attempts to address both these problems. Design/methodology/approach - A total of 15 children, aged 11 to 16, were each set three "think aloud" internet searches. In the first, they were asked to recall the last time they had sought information on the internet, and to repeat the search. For the second, they were given a word, asked to interpret it, then asked to search for their interpretation. For the third, they were asked to recall the last time they had been unsuccessful in a search, and to repeat the search. While performing each task, the children were encouraged to explain their actions. Findings - The paper finds that the factors that determined a child's ability to search successfully appeared to be: the amount of experience the child had of using the internet; the amount of guidance, both from adults and from peers; and the child's ability to explore the virtual environment, and to use the tools available for so doing. Originality/value - Many of the searches performed by participants in this paper were not related to schoolwork, and so some of the search approaches differed from those taught by teachers. Instead, they evolved through exploration and exchange of ideas. Further studies of this sort could provide insights of value to designers of web environments.

Source

Journal of documentation. 62(2006) no.6, S.744-761

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Abstract

Purpose - The purpose of this paper is to examine changes in relevance assessments, specifically the selection of relevance criteria by subjects as they move through the information search process. Design/methodology/approach - The paper examines the relevance criteria choices of 39 subjects in relation to search stage. Subjects were assigned a specific search task in a controlled test. Statistics were collected and analyzed using descriptive statistics and the chi-square goodness-of-fit tests. Findings - The statistically significant findings identified a number of commonly reported relevance criteria, which varied over an information search process for relevant and partially relevant judgments. These results provide statistical confirmations of previous studies, and extend these findings identifying specific criteria for both relevant and partially relevant judgments. Research limitations/implications - The study only examines a short duration search process and since the convenience sample of subjects were from similar backgrounds and were assigned similar tasks, the study did not explicitly examine the impact of contextual factors such as user experience, background or task in relation to relevance criteria choices. Practical implications - The paper has implications for the development of search systems which are adaptive and recognize the cognitive changes which occur during the information search process. Examining and identifying relevance criteria beyond topicality and the importance of those criteria to a user can help in the generation of better search queries. Originality/value - The paper adds more rigorous statistical analysis to the study of relevance criteria and the information search process.

Source

Journal of documentation. 65(2009) no.5, S.719-744

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Abstract

User studies provide libraries with invaluable insight into their users' information needs and behaviors, allowing them to develop services that correspond to these needs. This insight has become even more important for libraries since the advent of the Internet. The Internet has brought about a development of information technologies and electronic information sources that have had a great impact on both the ways users search for information and the ways libraries manage information. Although humanists represent an important group of users for academic libraries, research studies into their information-seeking behavior since the advent of the Internet have been quite scarce (Ellis & Oldman, 2005) in the past decade. This study presents updated research on a group of humanists, Jewish studies scholars living in Israel, as information users in the digital age based on two categories: (a) the use of formal and informal information channels, and (b) the use of information technologies and their impact on humanistic research.

Source

Journal of the American Society for Information Science and Technology. 58(2007) no.14, S.2269-2279

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Abstract

Query reformulation is a key user behavior during Web search. Our research goal is to develop predictive models of query reformulation during Web searching. This article reports results from a study in which we automatically classified the query-reformulation patterns for 964,780 Web searching sessions, composed of 1,523,072 queries, to predict the next query reformulation. We employed an n-gram modeling approach to describe the probability of users transitioning from one query-reformulation state to another to predict their next state. We developed first-, second-, third-, and fourth-order models and evaluated each model for accuracy of prediction, coverage of the dataset, and complexity of the possible pattern set. The results show that Reformulation and Assistance account for approximately 45% of all query reformulations; furthermore, the results demonstrate that the first- and second-order models provide the best predictability, between 28 and 40% overall and higher than 70% for some patterns. Implications are that the n-gram approach can be used for improving searching systems and searching assistance.

Source

Journal of the American Society for Information Science and Technology. 60(2009) no.7, S.1358-1371

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Abstract

Conventional wisdom holds that queries to information retrieval systems will yield more relevant results if they contain multiple topic-related terms and use Boolean and phrase operators to enhance interpretation. Although studies have shown that the users of Web-based search engines typically enter short, term-based queries and rarely use search operators, little information exists concerning the effects of term and operator usage on the relevancy of search results. In this study, search engine users formulated queries on eight search topics. Each query was submitted to the user-specified search engine, and relevancy ratings for the retrieved pages were assigned. Expert-formulated queries were also submitted and provided a basis for comparing relevancy ratings across search engines. Data analysis based on our research model of the term and operator factors affecting relevancy was then conducted. The results show that the difference in the number of terms between expert and nonexpert searches, the percentage of matching terms between those searches, and the erroneous use of nonsupported operators in nonexpert searches explain most of the variation in the relevancy of search results. These findings highlight the need for designing search engine interfaces that provide greater support in the areas of term selection and operator usage

Source

Journal of the American Society for Information Science and technology. 53(2002) no.2, S.95-108

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Abstract

Recent studies show that humans engage in multitasking behaviors as they seek and search information retrieval (IR) systems for information on more than one topic at the same time. For example, a Web search session by a single user may consist of searching on single topics or multitasking. Findings are presented from four separate studies of the prevalence of multitasking information seeking and searching by Web, IR system, and library users. Incidence of multitasking identified in the four different studies included: (1) users of the Excite Web search engine who completed a survey form, (2) Excite Web search engine users filtered from an Excite transaction log from 20 December 1999, (3) mediated on-line databases searches, and (4) academic library users. Findings include: (1) multitasking information seeking and searching is a common human behavior, (2) users may conduct information seeking and searching on related or unrelated topics, (3) Web or IR multitasking search sessions are longer than single topic sessions, (4) mean number of topics per Web search ranged of 1 to more than 10 topics with a mean of 2.11 topic changes per search session, and (4) many Web search topic changes were from hobbies to shopping and vice versa. A more complex model of human seeking and searching levels that incorporates multitasking information behaviors is presented, and a theoretical framework for human information coordinating behavior (HICB) is proposed. Multitasking information seeking and searching is developing as major research area that draws together IR and information seeking studies toward a focus on IR within the context of human information behavior. Implications for models of information seeking and searching, IR/Web systems design, and further research are discussed.

Source

Journal of the American Society for Information Science and technology. 53(2002) no.8, S.639-652

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Abstract

This article reviews studies, conducted between 1995 and 2000, on Web search behavior. These studies reported on children as well as on adults. Most of the studies on children described their interaction with the Web. Research on adult searchers focused on describing search patterns, and many studies investigated effects of selected factors on search behavior, including information organization and presentation, type of search task, Web experience, cognitive abilities, and affective states. What distinguishes the research on adult searchers is the use of multiple data-gathering methods. The research on Web search behavior reflects researchers' commitment to examine users in their information environment and exhibits rigor in design and data analysis. However, many studies lack external validity. Implications of this body of research are discussed.

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Abstract

Given that time is money, Web searching can be a very expensive proposition. Even with the best search technology, the usefulness of search results depends on the searcher's ability to use that technology effectively. In an effort to improve this ability, our research investigates the effects of logic training, interface training, and the type of search interface on the search process. In a study with 145 participants, we found that even limited training in basic Boolean logic improved performance with a simple search interface. Surprisingly, for users of an interface that assisted them in forming syntactically correct Boolean queries, performance was negatively affected by logic training and unaffected by interface training. Use of the assisted interface itself, however, resulted in strong improvements in performance over use of the simple interface. In addition to being useful for search engine providers, these findings are important for all companies that rely heavily on search for critical aspects of their operations, in that they demonstrate simple means by which the search experience can be improved for their employees and customers.

Source

Journal of the American Society for Information Science and Technology. 55(2004) no.13, S.1183-1198

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Abstract

This article explores the effects of undergraduate students' mental models of the Web on their online searching behavior. Forty-four undergraduate students, mainly freshmen and sophomores, participated in the study. Subjects' mental models of the Web were treated as equally good styles and operationalized as drawings of their perceptions about the Web. Four types of mental models of the Web were identified based on the drawings and the associated descriptions: technical view, functional view, process view, and connection view. In the study, subjects were required to finish two search tasks. Searching behavior was measured from four aspects: navigation and performance, subjects' feelings about tasks and their own performances, query construction, and search patterns. The four mental model groups showed different navigation and querying behaviors, but the differences were not significant. Subjects' satisfaction with their own performances was found to be significantly correlated with the time to complete the task. The results also showed that the familiarity of the task to subjects had a major effect on their ways to start interaction, query construction, and search patterns.