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  • × author_ss:"Ruthven, I."
  1. Belabbes, M.A.; Ruthven, I.; Moshfeghi, Y.; Rasmussen Pennington, D.: Information overload : a concept analysis (2023) 0.02
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    Abstract
    Purpose With the shift to an information-based society and to the de-centralisation of information, information overload has attracted a growing interest in the computer and information science research communities. However, there is no clear understanding of the meaning of the term, and while there have been many proposed definitions, there is no consensus. The goal of this work was to define the concept of "information overload". In order to do so, a concept analysis using Rodgers' approach was performed. Design/methodology/approach A concept analysis using Rodgers' approach based on a corpus of documents published between 2010 and September 2020 was conducted. One surrogate for "information overload", which is "cognitive overload" was identified. The corpus of documents consisted of 151 documents for information overload and ten for cognitive overload. All documents were from the fields of computer science and information science, and were retrieved from three databases: Association for Computing Machinery (ACM) Digital Library, SCOPUS and Library and Information Science Abstracts (LISA). Findings The themes identified from the authors' concept analysis allowed us to extract the triggers, manifestations and consequences of information overload. They found triggers related to information characteristics, information need, the working environment, the cognitive abilities of individuals and the information environment. In terms of manifestations, they found that information overload manifests itself both emotionally and cognitively. The consequences of information overload were both internal and external. These findings allowed them to provide a definition of information overload. Originality/value Through the authors' concept analysis, they were able to clarify the components of information overload and provide a definition of the concept.
    Date
    22. 4.2023 19:27:56
    Type
    a
  2. Ruthven, I.: Resonance and the experience of relevance (2021) 0.00
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    Abstract
    In this article, I propose the concept of resonance as a useful one for describing what it means to experience relevance. Based on an extensive interdisciplinary review, I provide a novel framework that presents resonance as a spectrum of experience with a multitude of outcomes ranging from a sense of harmony and coherence to life transformation. I argue that resonance has different properties to the more traditional interpretation of relevance and provides a better system of explanation of what it means to experience relevance. I show how traditional approaches to relevance and resonance work in a complementary fashion and outline how resonance may present distinct new lines of research into relevance theory.
    Type
    a
  3. Ruthven, I.; Buchanan, S.; Jardine, C.: Relationships, environment, health and development : the information needs expressed online by young first-time mothers (2018) 0.00
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    Abstract
    This study investigates the information needs of young first time mothers through a qualitative content analysis of 266 selected posts to a major online discussion group. Our analysis reveals three main categories of need: needs around how to create a positive environment for a child, needs around a mother's relationships and well-being and needs around child development and health. We demonstrate the similarities of this scheme to needs uncovered in other studies and how our classification of needs is more comprehensive than those in previous studies. A critical distinction in our results is between two types of need presentation, distinguishing between situational and informational needs. Situational needs are narrative descriptions of a problematic situations whereas informational needs are need statements with a clear request. Distinguishing between these two types of needs sheds new light on how information needs develop. We conclude with a discussion on the implication of our results for young mothers and information providers.
    Type
    a
  4. Lalmas, M.; Ruthven, I.: ¬A model for structured document retrieval : empirical investigations (1997) 0.00
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    Abstract
    Documents often display a structure, e.g. several sections, each with several subsections and so on. Taking into account the structure of a document allows the retrieval process to focus on those parts of the document that are most relevant to an information need. In previous work, we developed a model for the representation and the retrieval of structured documents. This paper reports the first experimental study of the effectiveness and applicability of the model
    Type
    a
  5. Crestani, F.; Ruthven, I.; Sanderson, M.; Rijsbergen, C.J. van: ¬The troubles with using a logical model of IR on a large collection of documents : experimenting retrieval by logical imaging on TREC (1996) 0.00
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    Type
    a
  6. Ruthven, I.: ¬An information behavior theory of transitions (2022) 0.00
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    Abstract
    This paper proposes a theory of life transitions focused on information behavior. Through a process of meta-ethnography, the paper transforms a series of influential theories and models into a theory of transitions for use in Information Science. This paper characterizes the psychological processes involved in transitions as consisting of three main stages, Understanding, Negotiating, and Resolving, each of which have qualitatively different information behaviors and which require different types of information support. The paper discusses the theoretical implications of this theory and proposes ways in which the theory can be used to provide practical support for those undergoing transitions.
    Type
    a
  7. Ruthven, I.; Lalmas, M.: Selective relevance feedback using term characteristics (1999) 0.00
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    Source
    Vocabulary as a central concept in digital libraries: interdisciplinary concepts, challenges, and opportunities : proceedings of the Third International Conference an Conceptions of Library and Information Science (COLIS3), Dubrovnik, Croatia, 23-26 May 1999. Ed. by T. Arpanac et al
    Type
    a
  8. Lalmas, M.; Ruthven, I.: Representing and retrieving structured documents using the Dempster-Shafer theory of evidence : modelling and evaluation (1998) 0.00
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    Abstract
    Reports on a theoretical model of structured document indexing and retrieval based on the Dempster-Schafer Theory of Evidence. Includes a description of the model of structured document retrieval, the representation of structured documents, the representation of individual components, how components are combined, details of the combination process, and how relevance is captured within the model. Also presents a detailed account of an implementation of the model, and an evaluation scheme designed to test the effectiveness of the model
    Type
    a
  9. Ruthven, I.; Lalmas, M.; Rijsbergen, K. van: Combining and selecting characteristics of information use (2002) 0.00
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    Abstract
    Ruthven, Lalmas, and van Rijsbergen use traditional term importance measures like inverse document frequency, noise, based upon in-document frequency, and term frequency supplemented by theme value which is calculated from differences of expected positions of words in a text from their actual positions, on the assumption that even distribution indicates term association with a main topic, and context, which is based on a query term's distance from the nearest other query term relative to the average expected distribution of all query terms in the document. They then define document characteristics like specificity, the sum of all idf values in a document over the total terms in the document, or document complexity, measured by the documents average idf value; and information to noise ratio, info-noise, tokens after stopping and stemming over tokens before these processes, measuring the ratio of useful and non-useful information in a document. Retrieval tests are then carried out using each characteristic, combinations of the characteristics, and relevance feedback to determine the correct combination of characteristics. A file ranks independently of query terms by both specificity and info-noise, but if presence of a query term is required unique rankings are generated. Tested on five standard collections the traditional characteristics out preformed the new characteristics, which did, however, out preform random retrieval. All possible combinations of characteristics were also tested both with and without a set of scaling weights applied. All characteristics can benefit by combination with another characteristic or set of characteristics and performance as a single characteristic is a good indicator of performance in combination. Larger combinations tended to be more effective than smaller ones and weighting increased precision measures of middle ranking combinations but decreased the ranking of poorer combinations. The best combinations vary for each collection, and in some collections with the addition of weighting. Finally, with all documents ranked by the all characteristics combination, they take the top 30 documents and calculate the characteristic scores for each term in both the relevant and the non-relevant sets. Then taking for each query term the characteristics whose average was higher for relevant than non-relevant documents the documents are re-ranked. The relevance feedback method of selecting characteristics can select a good set of characteristics for query terms.
    Type
    a
  10. Elsweiler, D.; Ruthven, I.; Jones, C.: Towards memory supporting personal information management tools (2007) 0.00
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    Abstract
    In this article, the authors discuss reretrieving personal information objects and relate the task to recovering from lapse(s) in memory. They propose that memory lapses impede users from successfully refinding the information they need. Their hypothesis is that by learning more about memory lapses in noncomputing contexts and about how people cope and recover from these lapses, we can better inform the design of personal information management (PIM) tools and improve the user's ability to reaccess and reuse objects. They describe a diary study that investigates the everyday memory problems of 25 people from a wide range of backgrounds. Based on the findings, they present a series of principles that they hypothesize will improve the design of PIM tools. This hypothesis is validated by an evaluation of a tool for managing personal photographs, which was designed with respect to the authors' findings. The evaluation suggests that users' performance when refinding objects can be improved by building personal information management tools to support characteristics of human memory.
    Type
    a
  11. Baillie, M.; Azzopardi, L.; Ruthven, I.: Evaluating epistemic uncertainty under incomplete assessments (2008) 0.00
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    Abstract
    The thesis of this study is to propose an extended methodology for laboratory based Information Retrieval evaluation under incomplete relevance assessments. This new methodology aims to identify potential uncertainty during system comparison that may result from incompleteness. The adoption of this methodology is advantageous, because the detection of epistemic uncertainty - the amount of knowledge (or ignorance) we have about the estimate of a system's performance - during the evaluation process can guide and direct researchers when evaluating new systems over existing and future test collections. Across a series of experiments we demonstrate how this methodology can lead towards a finer grained analysis of systems. In particular, we show through experimentation how the current practice in Information Retrieval evaluation of using a measurement depth larger than the pooling depth increases uncertainty during system comparison.
    Type
    a
  12. White, R.W.; Ruthven, I.: ¬A study of interface support mechanisms for interactive information retrieval (2006) 0.00
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    Abstract
    Advances in search technology have meant that search systems can now offer assistance to users beyond simply retrieving a set of documents. For example, search systems are now capable of inferring user interests by observing their interaction, offering suggestions about what terms could be used in a query, or reorganizing search results to make exploration of retrieved material more effective. When providing new search functionality, system designers must decide how the new functionality should be offered to users. One major choice is between (a) offering automatic features that require little human input, but give little human control; or (b) interactive features which allow human control over how the feature is used, but often give little guidance over how the feature should be best used. This article presents a study in which we empirically investigate the issue of control by presenting an experiment in which participants were asked to interact with three experimental systems that vary the degree of control they had in creating queries, indicating which results are relevant in making search decisions. We use our findings to discuss why and how the control users want over search decisions can vary depending on the nature of the decisions and the impact of those decisions on the user's search.
    Type
    a
  13. White, R.W.; Jose, J.M.; Ruthven, I.: ¬A task-oriented study on the influencing effects of query-biased summarisation in web searching (2003) 0.00
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    Abstract
    The aim of the work described in this paper is to evaluate the influencing effects of query-biased summaries in web searching. For this purpose, a summarisation system has been developed, and a summary tailored to the user's query is generated automatically for each document retrieved. The system aims to provide both a better means of assessing document relevance than titles or abstracts typical of many web search result lists. Through visiting each result page at retrieval-time, the system provides the user with an idea of the current page content and thus deals with the dynamic nature of the web. To examine the effectiveness of this approach, a task-oriented, comparative evaluation between four different web retrieval systems was performed; two that use query-biased summarisation, and two that use the standard ranked titles/abstracts approach. The results from the evaluation indicate that query-biased summarisation techniques appear to be more useful and effective in helping users gauge document relevance than the traditional ranked titles/abstracts approach. The same methodology was used to compare the effectiveness of two of the web's major search engines; AltaVista and Google.
    Type
    a
  14. Ruthven, I.; Baillie, M.; Azzopardi, L.; Bierig, R.; Nicol, E.; Sweeney, S.; Yaciki, M.: Contextual factors affecting the utility of surrogates within exploratory search (2008) 0.00
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    Abstract
    In this paper we investigate how information surrogates might be useful in exploratory search and what information it is useful for a surrogate to contain. By comparing assessments based on artificially created information surrogates, we investigate the effect of the source of information, the quality of an information source and the date of information upon the assessment process. We also investigate how varying levels of topical knowledge, assessor confidence and prior expectation affect the assessment of information surrogates. We show that both types of contextual information affect how the information surrogates are judged and what actions are performed as a result of the surrogates.
    Type
    a
  15. Tinto, F.; Ruthven, I.: Sharing "happy" information (2016) 0.00
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    Abstract
    This study focuses on the sharing of "happy" information: information that creates a sense of happiness within the individual sharing the information. We explore the range of factors motivating and impacting individuals' happy information-sharing behavior within a casual leisure context through 30 semistructured interviews. The findings reveal that the factors influencing individuals' happy information-sharing behavior are numerous, and impact each other. Most individuals considered sharing happy information important to their friendships and relationships. In various contexts the act of sharing happy information was shown to enhance the sharer's happiness.
    Type
    a
  16. Sanderson, M.; Ruthven, I.: Report on the Glasgow IR group (glair4) submission (1997) 0.00
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  17. Tombros, A.; Ruthven, I.; Jose, J.M.: How users assess Web pages for information seeking (2005) 0.00
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    Abstract
    In this article, we investigate the criteria used by online searchers when assessing the relevance of Web pages for information-seeking tasks. Twenty-four participants were given three tasks each, and they indicated the Features of Web pages that they used when deciding about the usefulness of the pages in relation to the tasks. These tasks were presented within the context of a simulated work-task situation. We investigated the relative utility of features identified by participants (Web page content, structure, and quality) and how the importance of these features is affected by the type of information-seeking task performed and the stage of the search. The results of this study provide a set of criteria used by searchers to decide about the utility of Web pages for different types of tasks. Such criteria can have implications for the design of systems that use or recommend Web pages.
    Type
    a
  18. White, R.W.; Jose, J.M.; Ruthven, I.: Using top-ranking sentences to facilitate effective information access (2005) 0.00
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    Abstract
    Web searchers typically fall to view search results beyond the first page nor fully examine those results presented to them. In this article we describe an approach that encourages a deeper examination of the contents of the document set retrieved in response to a searcher's query. The approach shifts the focus of perusal and interaction away from potentially uninformative document surrogates (such as titles, sentence fragments, and URLs) to actual document content, and uses this content to drive the information seeking process. Current search interfaces assume searchers examine results document-by-document. In contrast our approach extracts, ranks, and presents the contents of the top-ranked document set. We use query-relevant topranking sentences extracted from the top documents at retrieval time as fine-grained representations of topranked document content and, when combined in a ranked list, an overview of these documents. The interaction of the searcher provides implicit evidence that is used to reorder the sentences where appropriate. We evaluate our approach in three separate user studies, each applying these sentences in a different way. The findings of these studies show that top-ranking sentences can facilitate effective information access.
    Type
    a
  19. Ruthven, I.; Baillie, M.; Elsweiler, D.: ¬The relative effects of knowledge, interest and confidence in assessing relevance (2007) 0.00
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    Abstract
    Purpose - The purpose of this paper is to examine how different aspects of an assessor's context, in particular their knowledge of a search topic, their interest in the search topic and their confidence in assessing relevance for a topic, affect the relevance judgements made and the assessor's ability to predict which documents they will assess as being relevant. Design/methodology/approach - The study was conducted as part of the Text REtrieval Conference (TREC) HARD track. Using a specially constructed questionnaire information was sought on TREC assessors' personal context and, using the TREC assessments gathered, the responses were correlated to the questionnaire questions and the final relevance decisions. Findings - This study found that each of the three factors (interest, knowledge and confidence) had an affect on how many documents were assessed as relevant and the balance between how many documents were marked as marginally or highly relevant. Also these factors are shown to affect an assessors' ability to predict what information they will finally mark as being relevant. Research limitations/implications - The major limitation is that the research is conducted within the TREC initiative. This means that we can report on results but cannot report on discussions with the assessors. The research implications are numerous but mainly on the effect of personal context on the outcomes of a user study. Practical implications - One major consequence is that we should take more account of how we construct search tasks for IIR evaluation to create tasks that are interesting and relevant to experimental subjects. Originality/value - Examining different search variables within one study to compare the relative effects on these variables on the search outcomes.
    Type
    a
  20. Ruthven, I.: Integrating approaches to relevance (2005) 0.00
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    Abstract
    Relevance is the distinguishing feature of IR research. It is the intricacy of relevance, and its basis in human decision-making, which defines and shapes our research field. Relevance as a concept cuts across the spectrum of information seeking and IR research from investigations into information seeking behaviours to theoretical models of IR. Given their mutual dependence on relevance we might predict a strong relationship between information seeking and retrieval in how they regard and discuss the role of relevance within our research programmes. However often, too often, information seeking and IR have been continued as independent research traditions: IR research ignoring the extensive, user-based frameworks developed by information seeking and information seeking underestimating the influence of IR systems and interfaces within the information seeking process. When these two disciplines come together we often find the strongest research, research that is motivated by an understanding of what cognitive processes require support during information seeking, and an understanding of how this support might be provided by an IR system. The aim of this chapter is to investigate this common ground of research, in particular to examine the central notion of relevance that underpins both information seeking and IR research. It seeks to investigate how our understanding of relevance as a process of human decision making can, and might, influence our design of interactive IR systems. It does not cover every area of IR research, or each area in the same depth; rather we try to single out the areas where the nature of relevance, and its implications, is driving the research agenda. We start by providing a brief introduction to how relevance has been treated so far in the literature and then consider the key areas where issues of relevance are of current concern. Specifically the chapter discusses the difficulties of making and interpreting relevance assessments, the role and meaning of differentiated relevance assessments, the specific role of time within information seeking, and the large, complex issue of relevance within evaluations of IR systems. In each area we try to establish where the two fields of IR and information seeking are establishing fruitful collaborations, where there is a gap for prospective collaboration and the possible difficulties in establishing mutual aims.
    Source
    New directions in cognitive information retrieval. Eds.: A. Spink, C. Cole
    Type
    a