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User Efficiency Model in Usability Engineering for User Interface Design Refinement of Mobile Application

Journal of ICT Research and Applications (JICTRA) · Vol. 14 No. 1 (2020) · pp. 16–33

DOI
10.5614/itbj.ict.res.appl.2020.14.1.2
ISSN
2338-5499, 2337-5787
Published
2020-07-28
Publisher
DRI - ITB
Language
eng

Abstract

Designers are often confronted with challenges or difficulties when designing user interfaces for mobile applications. The information must be clearly delivered to the user and also have an aesthetic appearance and good discoverability. One widely used method for conveying information is directing user attention to a component that is related to his or her task. We propose a recommender system by considering user efficiency in a user attention model. It can give suggestions for designers to improve the appearance of the most efficient component. This recommender system is aimed to help designers in the iteration process of usability engineering, especially to direct user attention to the most efficient component. This system analyzes actual user attention and then refines the user interface based on the energy of each component compared with the baseline energy. Our proposed model successfully increased the efficiency of a mobile learning application from 83.65% to 85.58% and improved discoverability of the most efficient component, thus reducing the task completion time.

Keywords

Collaboration network of the authors

10 authors · 15 co-authorship links · 4 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Bandung Institute of Technology
  • University of Singaperbangsa Karawang
  • Institut Teknologi Nasional Bandung
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Armein Z. R. LangiBandung Institute of Technology2
Carmadi MachbubBandung Institute of Technology1
Suhono Harso SupangkatBandung Institute of Technology1
Adhi RizalUniversity of Singaperbangsa Karawang1
Yedi DermadiBandung Institute of Technology1
Rosa ElivianiBandung Institute of Technology1
Gina PurnamaBandung Institute of Technology1
Irma Amelia DewiInstitut Teknologi Nasional Bandung1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journals.itb.ac.id/index.php/jictra/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">User Efficiency Model in Usability Engineering for User Interface Design Refinement of Mobile Application</dc:title>
	<dc:creator>Desideria, Gladina</dc:creator>
	<dc:creator>Bandung, Yoanes</dc:creator>
	<dc:subject xml:lang="en-US">efficiency</dc:subject>
	<dc:subject xml:lang="en-US">mobile application</dc:subject>
	<dc:subject xml:lang="en-US">usability</dc:subject>
	<dc:subject xml:lang="en-US">user experience</dc:subject>
	<dc:subject xml:lang="en-US">user interface</dc:subject>
	<dc:subject xml:lang="en-US">visual attention</dc:subject>
	<dc:description xml:lang="en-US">Designers are often confronted with challenges or difficulties when designing user interfaces for mobile applications. The information must be clearly delivered to the user and also have an aesthetic appearance and good discoverability. One widely used method for conveying information is directing user attention to a component that is related to his or her task. We propose a recommender system by considering user efficiency in a user attention model. It can give suggestions for designers to improve the appearance of the most efficient component. This recommender system is aimed to help designers in the iteration process of usability engineering, especially to direct user attention to the most efficient component. This system analyzes actual user attention and then refines the user interface based on the energy of each component compared with the baseline energy. Our proposed model successfully increased the efficiency of a mobile learning application from 83.65% to 85.58% and improved discoverability of the most efficient component, thus reducing the task completion time.</dc:description>
	<dc:publisher xml:lang="en-US">DRI - ITB</dc:publisher>
	<dc:date>2020-07-28</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.itb.ac.id/index.php/jictra/article/view/11252</dc:identifier>
	<dc:identifier>10.5614/itbj.ict.res.appl.2020.14.1.2</dc:identifier>
	<dc:source xml:lang="en-US">Journal of ICT Research and Applications; Vol. 14 No. 1 (2020); 16-33</dc:source>
	<dc:source>2338-5499</dc:source>
	<dc:source>2337-5787</dc:source>
	<dc:source>10.5614/itbj.ict.res.appl.2020.14.1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jictra/article/view/11252/4857</dc:relation>
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