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Feasibility Comparison of HAC Algorithm on Usability Performance and Self-Reported Metric Features for MAR Learning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F18%3A50015733" target="_blank" >RIV/62690094:18450/18:50015733 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.3233/978-1-61499-900-3-896" target="_blank" >http://dx.doi.org/10.3233/978-1-61499-900-3-896</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3233/978-1-61499-900-3-896" target="_blank" >10.3233/978-1-61499-900-3-896</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Feasibility Comparison of HAC Algorithm on Usability Performance and Self-Reported Metric Features for MAR Learning

  • Original language description

    This paper highlights the current literatures in usability studies, performance metrics, self-reported metrics and hierarchical agglomerative clustering algorithms. A literature review is done in these three areas of studies to find a research gap that can be explored further. The paper will then propose a research methodology to study comparatively feature selection based on performance and self-reported usability data. This paper will highlight methods used to compare the feasibility and performance of hierarchical agglomerative clustering algorithms on both performance and self-reported data. The results of the experiment will then be presented and discussed before proceeding to the conclusion and future works of this study.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    NEW TRENDS IN INTELLIGENT SOFTWARE METHODOLOGIES, TOOLS AND TECHNIQUES (SOMET_18)

  • ISBN

    978-1-61499-900-3

  • ISSN

    0922-6389

  • e-ISSN

    1879-8314

  • Number of pages

    15

  • Pages from-to

    896-910

  • Publisher name

    IOS PRESS

  • Place of publication

    AMSTERDAM

  • Event location

    Granada

  • Event date

    Sep 26, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000467457200070