Purpose-Apart from information retrieval there is virtually no other area of information science that has occasioned as much research effort and writing as "user studies". Within user studies the investigation of "information needs" has been the subject of much debate and no little confusion. The aim of this paper is to attempt to reduce this confusion by devoting attention to the definition of some concepts and by proposing the basis for a theory of the motivations for information-seeking behaviour. Design/methodology/approach-The paper describes the issues of user studies and information needs within the context of information science. Findings-The paper finds that the problem seems to lie, not so much with the lack of a single definition, as with a failure to use a definition appropriate to the level, and purpose of the investigation. Originality/value-The analysis may be used as a springboard to research based upon a wider, holistic view of the information user.
We report DNA binding studies of the dinuclear ruthenium ligand [{Ru(phen)2}2tpphz]4+ in enantiomerically pure forms. As expected from previous studies of related complexes, both isomers bind with similar affinity to B-DNA and have enhanced luminescence. However, when tested against the G-quadruplex from human telomeres (which we show to form an antiparallel basket structure with a diagonal loop across one end), the ΛΛ isomer binds approximately 40 times more tightly than the ΔΔ, with a stronger luminescence. NMR studies show that the complex binds at both ends of the quadruplex. Modeling studies, based on experimentally derived restraints obtained for the closely related [{Ru(bipy)2}2tpphz]4+, show that the ΛΛ isomer fits neatly under the diagonal loop, whereas the ΔΔ isomer is unable to bind here and binds at the lateral loop end. Molecular dynamics simulations show that the ΔΔ isomer is prevented from binding under the diagonal loop by the rigidity of the loop. We thus present a novel enantioselective binding substrate for antiparallel basket G-quadruplexes, with features that make it a useful tool for quadruplex studies.
On the desktop, an application can expect to control its user interface down to the last pixel, but on the World Wide Web, a content provider has no control over how the client will view the page, once delivered to the browser. This creates an opportunity for end-users who want to automate and customize their web experiences, but the growing complexity of web pages and standards prevents most users from realizing this opportunity. We describe Chickenfoot, a programming system embedded in the Firefox web browser, which enables end-users to automate, customize, and integrate web applications without examining their source code. One way Chickenfoot addresses this goal is a novel technique for identifying page components by keyword pattern matching. We motivate this technique by studying how users name web page components, and present a heuristic keyword matching algorithm that identifies the desired component from the user's name.
This article explores the relationship between the concept of uncertainty in information seeking, within a model of the problem-solving process proposed by Wilson (1999a) and variables derived from other models and from the work of Ellis and Kuhlthau. The research has involved longitudinal data collection in the United States and United Kingdom employing three interview schedules (incorporating self-completed questionnaires) used for pre-and postsearch interviews: and postsearch interviews with the information seeker and the search intermediary. In addition, the Sheffield team employed a fourth set of instruments in a follow-up interview some 2 months after the search. Related search episodes, with a professional search intermediary using the Dialog Information Service and other sources were audiotaped, and search transaction logs were recorded. The mediated search clients were faculty and research students engaged in either personal or externally supported research projects. The article concludes that the problem solving model is recognized by such researchers as describing their activities and that the uncertainty concept, operationalized as here, serves as a useful variable in understanding information-seeking behavior. It also concludes that Ellis's concept of "search characteristics" and Kuhlthau's information-seeking stages are independent of the problem stage, and that a set of affective variables, based on those of Kuhlthau, appear to signify a generalized positive or negative affective orientation towards the course of the information problem solution.
Purpose -The purpose of this paper is to respond to Bawden's review of Wilson's 1981 paper, "On user studies and information needs". Design/methodology/approach -The paper reflects on the context of the original paper, and on subsequent developments. Findings -The paper comments on a variety of issues relating to information science as a discipline, and its research programme and methods, with specific emphasis on the understanding of human information behaviour. Originality/value -The paper provides a unique perspective on the development of this aspect of the discipline.
In this paper, we argue that strategic information operations (e.g. disinformation, political propaganda, and other forms of online manipulation) are a critical concern for CSCW researchers, and that the CSCW community can provide vital insight into understanding how these operations function-by examining them as collaborative "work" within online crowds. First, we provide needed definitions and a framework for conceptualizing strategic information operations, highlighting related literatures and noting historical context. Next, we examine three case studies of online information operations using a sociotechnical lens that draws on CSCW theories and methods to account for the mutual shaping of technology, social structure, and human action. Through this lens, we contribute a more nuanced understanding of these operations (beyond "bots" and "trolls") and highlight a persistent challenge for researchers, platform designers, and policy makers-distinguishing between orchestrated, explicitly coordinated, information operations and the emergent, organic behaviors of an online crowd.
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