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
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Czech description
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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