-
Smet, E. de: Evaluation of a computerised community information system through transaction analysis and user survey (1995)
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- Abstract
- Reports on the results of a transaction analysis and user survey, evaluating a pilot system for computerized community information in a public library, based on the GDIS system (Gemeenschaps Informatie Documentair System). The non hierarchical and global approach to the integrated database proved to be useful for novice users. Out of many parameters only frequency of use correlates with retrieval success. The online questionnaire proved to be worthwhile although restricted in scope. The logbook transaction analysis yielded a rich amount of useful management information for the systems managers. The user survey yielded a rich set of data on which to perform statistical analyses according to social science practice, from which some interesting relations could be detected
- Date
- 23.10.1995 19:22:11
-
Schaefer, M.T.: Internet information retrieval for libraries : four keys & sites that use them (1998)
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- Abstract
- Provides illustrative examples of the methods, tools and resources that enable librarians, information specialists and end users to make the most of the WWW. The 4 key factors that facilitate access are location, evaluation, organization and communication. Outlines how a number of sistes make use of these factors. Describes: the Internet Library for Librarians, Argus Clearinghouse's Digital Librarian's Award; FEDSTATS, the University Library System, chines University of Hong Kong, the WWW Virtual Library, the Finnish Virtual Library Project, and BIBNET
- Date
- 22. 2.1999 13:19:44
- Source
- Information retrieval and library automation. 33(1998) no.8, S.1-3
-
Wildemuth, B.M.; Cogdill, K.; Friedman, C.P.: ¬The transition from formalized need to compromised need in the context of clinical problem solving : opportunities and possible problems for information use studies of health professionals (1999)
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- Abstract
- Almost 30 years ago, Taylor (1968) postulated that each information need moves along a continuum from the visceral need through the compromised need. The current study examines the final transition in this continuum: from formalized need (expressed in an explicit verbal statement) to compromised need (represented in the language of the retrieval system). This transition is primarily concerned with vocabulary: the searcher attempts to translate an explicit statement of need into a search term (or terms) that can be interpreted by the retrieval system. A few studies have empirically examined the match between the end-user searcher's formalized need and the compromised need (i.e., search terms). Markey (1984) compared the searcher's expressed topic (the formalized need, expressed in just a few words) and the search terms (the compromised need), and then went on to compare the search terms with the library catalog terms available for subject searching. She found that the search term matched or was a partial form of the expressed topic in 71% of the searches, and that over 75% of these searches matched a catalog term. Allen (1991) examined the relationship between logical reasoning ability and selection of search terms. He asked college students to read a magazine article (which could be seen as a very rich statement of the formalized need) and then to perform a search for articles on the same topic (expressing the compromised need).
- Date
- 22. 3.2002 8:54:11
- Source
- Exploring the contexts of information behaviour: Proceedings of the 2nd International Conference on Research in Information Needs, Seeking and Use in Different Contexts, 13-15 August 1998, Sheffield, UK. Ed. by D.K. Wilson u. D.K. Allen
-
Reddy, M.C.; Jansen, B.J.: ¬A model for understanding collaborative information behavior in context : a study of two healthcare teams (2008)
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- Abstract
- Collaborative information behavior is an essential aspect of organizational work; however, we have very limited understanding of this behavior. Most models of information behavior focus on the individual seeker of information. In this paper, we report the results from two empirical studies that investigate aspects of collaborative information behavior in organizational settings. From these studies, we found that collaborative information behavior differs from individual information behavior with respect to how individuals interact with each other, the complexity of the information need, and the role of information technology. There are specific triggers for transitioning from individual to collaborative information behavior, including lack of domain expertise. The information retrieval technologies used affect collaborative information behavior by acting as important supporting mechanisms. From these results and prior work, we develop a model of collaborative information behavior along the axes of participant behavior, situational elements, and contextual triggers. We also present characteristics of collaborative information system including search, chat, and sharing. We discuss implications for the design of collaborative information retrieval systems and directions for future work.
- Source
- Information processing and management. 44(2008) no.1, S.256-273
-
Budzik, J.; Hammond, K.: Watson : anticipating and contextualizing information needs (1999)
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- Abstract
- In this paper, we introduce a class of systems called Information Management Assistants (IMAs). IMAs automatically discover related material on behalf of the user by serving as an intermediary between the user and information retrieval systems. IMAs observe users interact with everyday applications and then anticipate their information needs using a model of the task at hand. IMAs then automatically fulfill these needs using the text of the document the user is manipulating and a knowledge of how to form queries to traditional information retrieval systems (e.g., Internet search engines, abstract databases, etc.). IMAs automatically query information systems on behalf of users as well as provide an interface by which the user can pose queries explicitly. Because IMAs are aware of the user's task, they can augment their explicit query with terms representative of the context of this task. In this way, IMAs provide a framework for bringing implicit task context to bear on servicing explicit information requests, significantly reducing ambiguity. IMAs embody a just-in-time information infrastructure in which information is brought to users as they need it, without requiring explicit requests. In this paper, we present our work on an architecture for this class of system, and our progress implementing Watson, a prototype of such a system. Watson observes users in word processing and Web browsing applications and uses a simple model of the user's tasks, knowledge of term importance, and an understanding of query generation to find relevant documents and service explicit queries. We close by discussing our experimental evaluations of the system
- Imprint
- Medford, NJ : Information Today
- Series
- Proceedings of the American Society for Information Science; vol.36
- Source
- Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods
-
Cole, C.; Leide, J.E.; Large, A,; Beheshti, J.; Brooks, M.: Putting it together online : information need identification for the domain novice user (2005)
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- Abstract
- Domain novice users in the beginning stages of researching a topic find themselves searching for information via information retrieval (IR) systems before they have identified their information need. Pre-Internet access technologies adapted by current IR systems poorly serve these domain novice users, whose behavior might be characterized as rudderless and without a compass. In this article we describe a conceptual design for an information retrieval system that incorporates standard information need identification classification and subject cataloging schemes, called the INIIReye System, and a study that tests the efficacy of the innovative part of the INIIReye System, called the Associative Index. The Associative Index helps the user put together his or her associative thoughts-Vannevar Bush's idea of associative indexing for his Memex machine that he never actually described. For the first time, data from the study reported here quantitatively supports the theoretical notion that the information seeker's information need is identified through transformation of his/her knowledge structure (i.e., the seeker's cognitive map or perspective an the task far which information is being sought).
- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.7, S.684-694
-
Moore, J.L.; Erdelez, S.; He, W.: ¬The search experience variable in information behavior research (2007)
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- Abstract
- A conceptually relaxed utilization of the variable "search experience" makes it difficult for researchers to perform meaningful cross-study comparisons. The purpose of this study was to examine how search experience is defined and measured when used as a research variable. We implemented a qualitative analysis of 32 library and information science (LIS) research articles. We found that there was inconsistent terminology usage and measurements. Specifically, there were 21 unique labels to describe the search experience and 18 different measurements. The majority of the studies used a generic label "search experience" and relied on the reader to grasp specific context of the electronic information retrieval environment to which the variable applies from the description of the overall research design. In addition, there was a strong preference for measures that represented subjective self-reporting about the level of exposure to some information retrieval system. It is evident that there is a need for articles to contain detailed definitions of search experience variables for readers to truly understand the findings.
- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.10, S.1529-1546
-
Balatsoukas, P.; Demian, P.: Effects of granularity of search results on the relevance judgment behavior of engineers : building systems for retrieval and understanding of context (2010)
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- Abstract
- Granularity is a novel concept for presenting information in search result interfaces of hierarchical query-driven information retrieval systems in a manner that can support understanding and exploration of the context of the retrieved information (e.g., by highlighting its position in the granular hierarchy and exposing its relationship with relatives in the hierarchy). Little research, however, has been conducted on the effects of granularity of search results on the relevance judgment behavior of engineers. Engineers are highly motivated information users who are particularly interested in understanding the context of the retrieved information. Therefore, it is hypothesized that the design of systems with careful regard for granularity would improve engineers' relevance judgment behavior. To test this hypothesis, a prototype system was developed and evaluated in terms of the time needed for users to find relevant information, the accuracy of their relevance judgment, and their subjective satisfaction. To evaluate the prototype, a user study was conducted where participants were asked to complete tasks, complete a satisfaction questionnaire, and be interviewed. The findings showed that participants performed better and were more satisfied when the prototype system presented only relevant information in context. Although this study presents some novel findings about the effects of granularity and context on user relevance judgment behavior, the results should be interpreted with caution. For example, participants in this research were recruited by convenience and performed a set of simulated tasks as opposed to real ones. However, suggestions for further research are presented.
- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.3, S.453-467
-
Xie, I.: Information searching and search models (2009)
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- Abstract
- Key terms related to information searching and search models are defined. A historic context is provided to illustrate the evolution of the four main digital environments that users interact with in their search process to offer readers background information regarding the transition from manual information systems to computer-based information retrieval (IR) systems, as well as the transition from intermediary searching to end-user searching. Emphasis is placed on the review of different levels of information searching from search tactics/moves, search strategies, and usage patterns, to search models and associated factors in relation to task, user knowledge structure, IR system design, and social-organization context. Search models are further classified into two types, with one type illustrating information search process (ISP) and the other type emphasizing the factors that influence the process. In addition, unsolved problems and future research are discussed and suggested.
- Source
- Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates
-
Lin, S.; Xie, I.: Behavioral changes in transmuting multisession successive searches over the web (2013)
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- Abstract
- Multisession successive information searches are common but little research has focused on quantitative analysis. This article enhances our understanding of successive information searches by employing an experimental method to observe whether and how the behavioral characteristics of searchers statistically significantly changed over sessions. It focuses on a specific type of successive search called transmuting successive searches, in which searchers learn about and gradually refine their information problems during the course of the information search. The results show that searchers' behavioral characteristics indeed exhibit different patterns in different sessions. The identification of the behavioral characteristics can help information retrieval systems to detect stages or sessions of the information search process. The findings also help validate a theoretical framework to explain successive searches and suggest system requirements for supporting the associated search behavior. The study is one of the first to not only test for statistical significance among research propositions concerning successive searches but to also apply the research principles of implicit relevance feedback to successive searches.
- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.6, S.1259-1283
-
Lin, S.-j.; Belkin, N.: Validation of a model of information seeking over multiple search sessions (2005)
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- Abstract
- Most information systems share a common assumption: information seeking is discrete. Such an assumption neither reflects real-life information seeking processes nor conforms to the perspective of phenomenology, "life is a journey constituted by continuous acquisition of knowledge." Thus, this study develops and validates a theoretical model that explains successive search experience for essentially the same information problem. The proposed model is called Multiple Information Seeking Episodes (MISE), which consists of four dimensions: problematic situation, information problem, information seeking process, episodes. Eight modes of multiple information seeking episodes are identified and specified with properties of the four dimensions of MISE. The results partially validate MISE by finding that the original MISE model is highly accurate, but less sufficient in characterizing successive searches; all factors in the MISE model are empirically confirmed, but new factors are identified as weIl. The revised MISE model is shifted from the user-centered to the interaction-centered perspective, taking into account factors of searcher, system, search activity, search context, information attainment, and information use activities.
- Date
- 10. 4.2005 14:52:22
- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.4, S.393-415
-
Gunning, K.: ¬The intelligent reference information system : the effect on public services of implementing a CD-RON LAN and expert system (1992)
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-
Smith, C.L.; Matteson, M.L.: Information literacy in the age of machines that learn : desiderata for machines that teach (2018)
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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
-
Kim, J.: Describing and predicting information-seeking behavior on the Web (2009)
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- Abstract
- This study focuses on the task as a fundamental factor in the context of information seeking. The purpose of the study is to characterize kinds of tasks and to examine how different kinds of task give rise to different kinds of information-seeking behavior on the Web. For this, a model for information-seeking behavior was used employing dimensions of information-seeking strategies (ISS), which are based on several behavioral dimensions. The analysis of strategies was based on data collected through an experiment designed to observe users' behaviors. Three tasks were assigned to 30 graduate students and data were collected using questionnaires, search logs, and interviews. The qualitative and quantitative analysis of the data identified 14 distinct information-seeking strategies. The analysis showed significant differences in the frequencies and patterns of ISS employed between three tasks. The results of the study are intended to facilitate the development of task-based information-seeking models and to further suggest Web information system designs that support the user's diverse tasks.
- Date
- 22. 3.2009 18:54:15
- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.4, S.679-693
-
Bailey, C.W.: ¬The intelligent reference information system project : a merger of CD-ROM LAN and expert system technology (1992)
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- Abstract
- The University Libraries of the Univ. of Houston created an experimental Intelligent Reference Information System (IRIS) over a two-year period. A ten-workstation CD-ROM LAN was implemented that provided access to 19 citiation, full-text, graphic, and numeric databases. An experts system, Reference Expert, was developed to assist users in selecting appropriate printed and electronic reference sources. This expert system was made available on both network and stand-alone workstations. Three research studies were conducted
- Source
- Information technology and libraries. 11(1992) no.3, S.237-244
-
Exploring the contexts of information behaviour : Proceedings of the 2nd International Conference on Research in Information Needs, Seeking and Use in Different Contexts, 13-15 August 1998, Sheffield, UK (1999)
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- Abstract
- Kapitel: Keynote papers - Theoretical perspectives - The health services context - Everyday life - The work environment - Organization of information in context - An information systems perspective
- Content
- Enthält u.a. die Beiträge: INTRONA, L.D.: Context, power, bodies and information: exploring the 'entangled' contexts of information; JACOB, E.K. u.a.: When essence becomes function: post-structuralist implications for an ecological theory of organizational classification systems; MALMSJO, A.: Conditions for designing different kinds of information systems; JULIEN, H.: Where to from here? Results of an emprical study and user-centred implications for system design; VAKKARI, P.: Task complexity, information types, search strategies and relevance: integrating studies on information seeking and retrieval; SPINK, A.: Towards a theoretical framework for information retrieval in an information seeking context; KUHLTHAU, C.C.: Investigating patterns in information seeking; concepts in context; BREZILLON, P. u.a.: Modeling context in information seeking; BYSTROM, K.: Information seekers in context: an analysis of the 'doer' in INSU studies; AUDUNSON, R.: Can institutional theory contribute to our understanding of information seeking behaviour?; SONNENWALD, D.H.: Evolving perspectives of human information behaviour: conexts, situations, social networks and information horizons; OLSSON, M.: Discourse: a new theoretical framework for examining information behaviour in its social context; KEANE, D.: The information behaviour of senior executives; LIMBERG, L.: Three conceptions of information seeking and use; PRESTON, H. u.a.: An evaluation of case study methodology within information system research; WILSON, T.D.: Exploring models of information behaviour: the 'uncertainty' project; ENNIS, M. u.a.: Towards a predictive model of information seeking: empirical studies of end-user searching; SOLOMON, P.: Information mosaics: patterns of action that structure; TOMS, E.G.: What motivates the browser? ABAD-GARCIA, M.F.: Information needs of physicians at the University Clinic Hospital in Valencia-Spain: GORMAN, P.: Information seeking of primary care physicians: conceptual models and empirical studies; LOMAX, E.C. u.a.: An investigation of the information seeking behavior of medical oncologists in Metropolitan Pittsburgh using a multi-method approach; PETTIGREW, K.E.: Agents of information: the role of community health nurses in linking the elderly with local resources by providing human services information; URQUHART, C.J.: Using vignettes to diagnose information strategies: opportunities and possible problems for information use studies of health professionals; WILDEMUTH, B.M. u.a.: The transition from formalized need to compromised need in the context of clinical problem solving; MARCELLA, R. u. G. BAXTER: The transition from formalized need to compromised need in the context of clinical problem solving; COLES, C.: Information seeking behaviour of public library users: use and non-use of electronic media; GREEN, A.-M. u. E. DAVENPORT: Putting new media in its place: the Edinburgh experience; ROSS, C.S.: Finding without seeking: what readers say about the role of pleasure-reading as a source of information; SAVOLAINEN, R.: Seeking and using information from the Internet: the context of non-work use; SPINK, A. u.a.: Everyday life information-seeking by low-income African American households: Wynnewood Healthy Neighbourhood Project; DIXON, P. u. L. BANWELL: School governors and effective dicision making; COOPER, L. u. C.C. KUHLTHAU: Imagery for constructing meaning in the information search process: a study of middle school students; FABRITIUS, H.: Triangulation as a multiperspective strategy in a qualitative study of information seeking behaviour of journalists; JOHINSTON, S.: Training for the information economy: a study of the information culture of a graduate business school; NICHOLAS, D. u. P. WILLIAMS: The changing information environment: the impact of the Internet on information seeking behaviour in the media; WIJNGAERT, L. van de: A policy capturing study of media choice: the effect information of needs and user characteristics on media choices; FETZER, A.: Validity claims: assigning contextual information; FOSTER, A.: On the interpretative authority of information systems; MUTCH, A.: Information: a critical realist approach; PERRY, M.: Process, representation and taskworld: distributed cognition and the organisation of information; HUOTARI, M.-L.: Social network analysis as a tool to evaluate IM in the public sector: a pilot study at the University of Tampere
- Footnote
- Rez. in: Education for information 18(2000) no.1, S.84-85 (D. Bawden)
-
Foster, J.: Collaborative information seeking and retrieval (2006)
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- Source
- Annual review of information science and technology. 40(2006), S.xxx-xxx
-
Preuss, V.: User-centered counseling in online retrieval : practise and training (1983)
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- Imprint
- Oxford : Learned Information
- Source
- 7th International online information meeting, London, 6.-8.12.1983
-
Lankes, R.D.: New concepts in digital reference (2009)
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- Abstract
- Let us start with a simple scenario: a man asks a woman "how high is Mount Everest?" The woman replies "29,029 feet." Nothing could be simpler. Now let us suppose that rather than standing in a room, or sitting on a bus, the man is at his desk and the woman is 300 miles away with the conversation taking place using e-mail. Still simple? Certainly--it happens every day. So why all the bother about digital (virtual, electronic, chat, etc.) reference? If the man is a pilot flying over Mount Everest, the answer matters. If you are a lawyer going to court, the identity of the woman is very important. Also, if you ever want to find the answer again, how that transaction took place matters a lot. Digital reference is a deceptively simple concept on its face: "the incorporation of human expertise into the information system." This lecture seeks to explore the question of how human expertise is incorporated into a variety of information systems, from libraries, to digital libraries, to information retrieval engines, to knowledge bases. What we learn through this endeavor, begun primarily in the library context, is that the models, methods, standards, and experiments in digital reference have wide applicability. We also catch a glimpse of an unfolding future in which ubiquitous computing makes the identification, interaction, and capture of expertise increasingly important. It is a future that is much more complex than we had anticipated. It is a future in which documents and artifacts are less important than the contexts of their creation and use.
- LCSH
- Information retrieval
- Series
- Synthesis lectures on information concepts, retrieval & services; 1
- Subject
- Information retrieval
-
Zhang, X.; Liu, J.; Cole, M.; Belkin, N.: Predicting users' domain knowledge in information retrieval using multiple regression analysis of search behaviors (2015)
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- Abstract
- User domain knowledge affects search behaviors and search success. Predicting a user's knowledge level from implicit evidence such as search behaviors could allow an adaptive information retrieval system to better personalize its interaction with users. This study examines whether user domain knowledge can be predicted from search behaviors by applying a regression modeling analysis method. We identify behavioral features that contribute most to a successful prediction model. A user experiment was conducted with 40 participants searching on task topics in the domain of genomics. Participant domain knowledge level was assessed based on the users' familiarity with and expertise in the search topics and their knowledge of MeSH (Medical Subject Headings) terms in the categories that corresponded to the search topics. Users' search behaviors were captured by logging software, which includes querying behaviors, document selection behaviors, and general task interaction behaviors. Multiple regression analysis was run on the behavioral data using different variable selection methods. Four successful predictive models were identified, each involving a slightly different set of behavioral variables. The models were compared for the best on model fit, significance of the model, and contributions of individual predictors in each model. Each model was validated using the split sampling method. The final model highlights three behavioral variables as domain knowledge level predictors: the number of documents saved, the average query length, and the average ranking position of the documents opened. The results are discussed, study limitations are addressed, and future research directions are suggested.
- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.5, S.980-1000
