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Usability of Big Data Resources in Visual Search Interfaces of Repositories Based on KOS

Published: 03 August 2018 Publication History

Abstract

Digital repositories allow storage and manage digital resources and collections of museums, libraries, archives in order to be use in educational context. Unfortunately, several deficiencies in user interfaces based on resource discovery, user-centered design, and strategy of search, among others, prevent the widespread use of the valuable services that data of repository offers. Having the intuition that some deficiencies are reflected in usability problems associated with interfaces, we conducted a research from the Human Computer Interaction (HCI) perspective in order to present a novel framework to evaluate usability of different types of visual interfaces based on visualization techniques and Knowledge Organization System (KOS). Our study analyzed the efficacy of a framework in order to allow repository creators the assessment and selection of appropriate user interfaces according to the needs and demands of the data collection of learning objects. The preliminary results show that framework could improve the select of appropriate visualization techniques after to development of them in a digital repository. Although, some problems associated with the limited computational capabilities for information visualization are difficult to overcome.

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Cited By

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  • (2023)Quantitative Analysis of Users’ Agreement on Open Educational Resources Quality Inside RepositoriesIEEE Revista Iberoamericana de Tecnologias del Aprendizaje10.1109/RITA.2023.325044618:1(2-9)Online publication date: Feb-2023
  • (2023)The use of human-computer interaction in libraries: a systematic literature reviewGlobal Knowledge, Memory and Communication10.1108/GKMC-07-2022-0167Online publication date: 7-Jun-2023

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  1. Usability of Big Data Resources in Visual Search Interfaces of Repositories Based on KOS

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    cover image ACM Other conferences
    ICCBDC '18: Proceedings of the 2018 2nd International Conference on Cloud and Big Data Computing
    August 2018
    98 pages
    ISBN:9781450364744
    DOI:10.1145/3264560
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • Brookes: Oxford Brookes University
    • Northumbria University: University of Northumbria at Newcastle

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 03 August 2018

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    Author Tags

    1. Digital repositories
    2. human computer interface
    3. information visualization
    4. user interfaces
    5. visual search interfaces
    6. visualization techniques

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    • (2023)Quantitative Analysis of Users’ Agreement on Open Educational Resources Quality Inside RepositoriesIEEE Revista Iberoamericana de Tecnologias del Aprendizaje10.1109/RITA.2023.325044618:1(2-9)Online publication date: Feb-2023
    • (2023)The use of human-computer interaction in libraries: a systematic literature reviewGlobal Knowledge, Memory and Communication10.1108/GKMC-07-2022-0167Online publication date: 7-Jun-2023

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