On Interactive Interfaces for Semi-Structured Academic Document Seeking and Relevance Decision Making

Loizides, Fernando; Photiades, Thomas; Mavri, Aekaterini; Zaphiris, Panayiotis

doi:10.1080/13614576.2014.955209

Cited by 3 publications

(5 citation statements)

References 31 publications

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“…In total 137 search activities on the stratagem level (cf . Table 1) were performed of which keywords (50), references (27), citations (26), and author information (25) were most frequently used. A rather low usage was found for the journal run (4) and classifications (5).…”

Section: Discussionmentioning

confidence: 99%

“…Their results showed that users' reading behaviour changes with the relevance of a text or document: Though the fixation duration does not differ when the relevance of a document increases, the number of saccades decreases. Loizides et al [26] investigated the reading behaviour during the search process in DLs and collected information on how users read information about documents and how their attention can be guided, resulting in design implications for custom interfaces in DLs.…”

Section: Eye Tracking Studies and Search Behaviourmentioning

confidence: 99%

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Investigating exploratory search activities based on the stratagem level in digital libraries

et al. 2017

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In this paper we present the results of a user study on exploratory search activities in a social science digital library. We conducted a user study with 32 participants with a social sciences background -16 postdoctoral researchers and 16 students -who were asked to solve a task on searching related work to a given topic. The exploratory search task was performed in a 10-minutes time slot. The use of certain search activities is measured and compared to gaze data recorded with an eye tracking device. We use a novel tree graph representation to visualise the users' search patterns and introduce a way to combine multiple search session trees. The tree graph representation is capable to create one single tree for multiple users and to identify common search patterns. In addition, the information behaviour of students and postdoctoral researchers is being compared. The results show that search activities on the stratagem level are frequently utilised by both user groups. The most heavily used search activities were keyword search, followed by browsing through references and citations, and author searching. The eye tracking results showed an intense examination of documents metadata, especially on the level of citations and references. When comparing the group of students and postdoctoral researchers we found significant differences regarding gaze data on the area of the journal name of the seed document. In general, we found a tendency of the postdoctoral researchers to examine the metadata records more intensively with regards to dwell time and the number of fixations. By creating combined session trees and deriving subtrees from those, we were able to identify common patterns like economic (explorative) and exhaustive (navigational) behaviour. Our results show that participants utilised multiple search strategies starting from the seed document, which means, that they examined different paths to find related publications.

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Section: Discussionmentioning

confidence: 99%

Section: Eye Tracking Studies and Search Behaviourmentioning

confidence: 99%

Investigating exploratory search activities based on the stratagem level in digital libraries

et al. 2017

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“…User interfaces designed to support user access to segments of full-text documents have been discussed in the research literature as part of the book selection process (Wacholder and Liu, 2008;Wacholder et al, 2006), within-document retrieval (Harper et al, 2004), focused retrieval (Arvola et al, 2012) or document triage (Buchanan and Loizides, 2007;Loizides et al, 2014). For example, Harper et al (2004) proposed a user interface called ProfileSkim that provides an interactive bar graph for retrieving relevant segments of a document.…”

Section: Within-document Retrievalmentioning

confidence: 99%

“…A usability study of the proposed interface suggests that there are significant differences in search times for the different visualizations. Loizides et al (2014) indicate that the search tool of matched query term highlights was rarely used in the process of making relevance judgments for documents. Overall, these studies suggest that interfaces with visualizations of term distributions in a long document can efficiently support user access to portions of the document.…”

Section: Within-document Retrievalmentioning

confidence: 99%

Search Interface Design and Evaluation

Liu¹,

Liu²,

Liu³

et al. 2021

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This monograph reviews research on the design and evaluation of search user interfaces that has been published within the past 10 years. Our primary goal is to integrate state-of-the-art research in the areas of information seeking behavior, information retrieval, and human-computer interaction on the topic of search interface. Specifically, this monograph (1) describes the history and background of the development of the search interface; (2) introduces information search behavior models that help conceptualize users' information needs, and how people seek, select, and use information; (3) characterizes the major components of search interfaces that support different subprocesses based on Marchonini's information seeking process model; (4) reviews the design of search interfaces for different user groups, especially that of vulnerable people, as well as personalized and adaptive search interfaces; (5) identifies evaluation methods of search interfaces and how they were implemented in research having different evaluation purposes. We also provide an outlook on the future trends of search interfaces including

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“…Query term matching has also been used in SmartFind, another hybrid Ctrl/Cmd-F type tool which uses Term Frequency × Inverse Document Frequency (TFIDF) algorithms within a document to provide potentially significant document areas to the information seeker [46]. TriDoc is a bespoke document triage tool which combines the high level results list view of document results with within-document scanning and information searching [49]. Currently, there are two interfaces supported by TriDoc.…”

Section: Software Toolsmentioning

confidence: 99%

Theory and practice in visual interfaces for semi-structured document discovery and selection

Loizides

Buchanan

Mavri

2016

ISU

Self Cite

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With the increase in electronic publications, and indeed the availability of existing publications in digital form, as well as the encouragement of open access publication, comes a challenge. That challenge is to create assistive software to aid in the discovery and selection of relevant documents to one's information need. Visual interfaces have begun to address the need of information seekers in finding publications and wading through the large result sets that are returned from search engines. There is currently, little evidence to suggest that these interfaces are based on systematic research on requirements. In this article, we examine areas which contribute to the theory and practice of visual interfaces directly relating to the discovery and selection of publications. We bring together work from different fields in a targeted approach to assist the future creation of these interfaces.

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On Interactive Interfaces for Semi-Structured Academic Document Seeking and Relevance Decision Making

Cited by 3 publications

References 31 publications

Investigating exploratory search activities based on the stratagem level in digital libraries

Investigating exploratory search activities based on the stratagem level in digital libraries

Search Interface Design and Evaluation

Theory and practice in visual interfaces for semi-structured document discovery and selection

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