We Have the Content…Now What?

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

doi:10.1075/idj.20.3.05mav

Cited by 5 publications

(5 citation statements)

References 13 publications

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“…TriDoc accommodated faster triage from the users test and received positive feedback from the information seekers (note: one interfaces received a higher rating than the other). TriDoc is an ongoing project which is currently under development, unlike many of the reported tools in this article [53].…”

Section: Software Toolsmentioning

confidence: 99%

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

Loizides

Buchanan

Mavri

2016

ISU

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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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Section: Software Toolsmentioning

confidence: 99%

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

Loizides

Buchanan

Mavri

2016

ISU

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“…When designing document displays, it is important that any summarization, weighting, and filtering techniques highlight attributes that best assist in the application of domain expertise for relevance judgement. For this, both Loizides and Mavri [68,69] suggest some best-practice design strategies. They note that factors such as section types, content positioning, font weight, and font size, among other factors, influence final document relevance decision-making.…”

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confidence: 99%

“…They note that factors such as section types, content positioning, font weight, and font size, among other factors, influence final document relevance decision-making. Furthermore, document titles, captions, abstracts, section snippets, conclusions, and a decreasing valuation for document pages are the most important factors that affect decision-making regarding relevance of documents [69,70]. Simply put, an interface that supports effective document triaging should maximize and highlight important content and minimize elements that do not support rapid decision making.…”

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confidence: 99%

Interfaces for Searching and Triaging Large Document Sets: An Ontology-Supported Visual Analytics Approach

Demelo

Sedig

2021

Information

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We investigate the design of ontology-supported, progressively disclosed visual analytics interfaces for searching and triaging large document sets. The goal is to distill a set of criteria that can help guide the design of such systems. We begin with a background of information search, triage, machine learning, and ontologies. We review research on the multi-stage information-seeking process to distill the criteria. To demonstrate their utility, we apply the criteria to the design of a prototype visual analytics interface: VisualQUEST (Visual interface for QUEry, Search, and Triage). VisualQUEST allows users to plug-and-play document sets and expert-defined ontology files within a domain-independent environment for multi-stage information search and triage tasks. We describe VisualQUEST through a functional workflow and culminate with a discussion of ongoing formative evaluations, limitations, future work, and summary.

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“…Because of the vast amount of information, made available with online digital libraries, document triage is a demanding, time-consuming and error-prone (Jones et al 1999) process for information seekers. Existing research provides some information on designing usable triage interfaces mainly for desktop computers (Mavri et al 2014); there is, however, minimal to no direction regarding small screen interfaces.Tablets and smartphones have emerged as vital for information seeking and communication 'on the go', as statistics indicate about 60% of adults using a smartphone to go online (Ofcom 2015). The content of most websites and applications is largely adaptive in order to accommodate for the smaller screen real estate.…”

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confidence: 99%

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confidence: 99%

Communicating content: development and evaluation of icons for academic document triage through visualisation and perception

Mavri

Loizides

Zantides

2016

Behaviour & Information Technology

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This work seeks to identify key features and characteristics for the design of icons that can support the tasks of information seekers in academic document triage interfaces. Such icons are meant to act as visual links to the specific elements or sections in an academic document. We suggest that icons in triage interfaces, are better able to communicate information, provide feedback and enable faster user interactions than text, particularly in mobile-based interfaces. Through investigation of visualisation and perception processes, we are able to propose five primary icon categories, the two most dominant being iconic and symbolic: iconic representations mostly apply to graphically and spatially distinct document elements (i.e. Title, Abstract, Tables and Figures) KeywordsIcons, interface design, visual representation, academic document triage, visualization, perception 2 Academic document triage is defined as the act of assessing and evaluating a set of structured documents in order to determine their relevance to an information need (Loizides 2010). This process has been exponentially increasing in the past years due to the digital access of journals by academics and professionals such as patent examiners. Because of the vast amount of information, made available with online digital libraries, document triage is a demanding, time-consuming and error-prone (Jones et al. 1999) process for information seekers. Existing research provides some information on designing usable triage interfaces mainly for desktop computers (Mavri et al. 2014); there is, however, minimal to no direction regarding small screen interfaces.Tablets and smartphones have emerged as vital for information seeking and communication 'on the go', as statistics indicate about 60% of adults using a smartphone to go online (Ofcom 2015). The content of most websites and applications is largely adaptive in order to accommodate for the smaller screen real estate. However, some interfaces fail to provide the information seeker with an interface that addresses his/her specific needs, for example, when a user is working with large amounts of text, as in structured documents (i.e. academic documents). Both structure and content can be problematic, due to the known limitations of mobile devices, the most important being the limited screen size that results in small-sized characters, narrow line length and compromised navigation (Ling and Van Schaik 2006;Budiu 2015; Nielsen 2011;Sahito et al. 2015). Wishing to read specific sections in an academic document (a common triage behaviour), equals scrolling through thousands of words) (Loizides and Buchanan 2009); panning on a mobile device, can become physically strenuous, and scroll acceleration is frustrating, since it impedes reading of individual section titles on a mobile device. Getting from point A to point B, by means of anchoring (linking) 3 information segments through hyperlinks, in a 'table-of-contents' style, may be a solution to this problem (Chakrabarti, Dom, and Indyk 1998).Additionally...

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We Have the Content…Now What?

Cited by 5 publications

References 13 publications

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

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

Interfaces for Searching and Triaging Large Document Sets: An Ontology-Supported Visual Analytics Approach

Communicating content: development and evaluation of icons for academic document triage through visualisation and perception

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