A Systematic Review of User Mental Models on Applications Sustainability

In Human-Computer Interaction (HCI), a user’s mental model affects application sustainability. This study's goal is to find and assess previous work in the area of user mental models and how it relates to the sustainability of application. Thus, a systematic review process was used to identify...

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Bibliographic Details
Published in:International Journal of Sustainable Construction Engineering and Technology
Main Author: Nasrudin N.H.; Ahmad S.; Salleh K.A.; Azahari L.A.
Format: Review
Language:English
Published: Penerbit UTHM 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172402636&doi=10.30880%2fijscet.2023.14.03.032&partnerID=40&md5=a0ce7fe0b241b1a5538070396edfcc19
id 2-s2.0-85172402636
spelling 2-s2.0-85172402636
Nasrudin N.H.; Ahmad S.; Salleh K.A.; Azahari L.A.
A Systematic Review of User Mental Models on Applications Sustainability
2023
International Journal of Sustainable Construction Engineering and Technology
14
3
10.30880/ijscet.2023.14.03.032
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172402636&doi=10.30880%2fijscet.2023.14.03.032&partnerID=40&md5=a0ce7fe0b241b1a5538070396edfcc19
In Human-Computer Interaction (HCI), a user’s mental model affects application sustainability. This study's goal is to find and assess previous work in the area of user mental models and how it relates to the sustainability of application. Thus, a systematic review process was used to identify 641 initial articles, which were then screened based on inclusion and exclusion criteria. According to the review, it has been observed that the mental model of a user has an impact on the creation of applications not only within the domain of Human-Computer Interaction (HCI), but also in other domains such as Enterprise Innovation Ecology, Explainable Artificial Intelligence (XAI), Information Systems (IS), and various others. The examined articles discussed company managers' difficulties in prioritising innovation and ecology, and the necessity to understand users' mental models to build and evaluate intelligent systems. The reviewed articles mostly used experimental, questionnaire, observation, and interviews, by applying either qualitative, quantitative, or mixed-method methodologies. This study highlights the importance of user mental models in application sustainability, where developers may create apps that suit user demands, fit with cognitive psychology principles, and improve human-AI collaboration by understanding user mental models. This study also emphasises the importance of user mental models in the long-term viability and sustainability of applications, and provides significant insights for application developers and researchers in building more user-centric and sustainable applications. © Universiti Tun Hussein Onn Malaysia Publisher’s Office.
Penerbit UTHM
21803242
English
Review
All Open Access; Gold Open Access
author Nasrudin N.H.; Ahmad S.; Salleh K.A.; Azahari L.A.
spellingShingle Nasrudin N.H.; Ahmad S.; Salleh K.A.; Azahari L.A.
A Systematic Review of User Mental Models on Applications Sustainability
author_facet Nasrudin N.H.; Ahmad S.; Salleh K.A.; Azahari L.A.
author_sort Nasrudin N.H.; Ahmad S.; Salleh K.A.; Azahari L.A.
title A Systematic Review of User Mental Models on Applications Sustainability
title_short A Systematic Review of User Mental Models on Applications Sustainability
title_full A Systematic Review of User Mental Models on Applications Sustainability
title_fullStr A Systematic Review of User Mental Models on Applications Sustainability
title_full_unstemmed A Systematic Review of User Mental Models on Applications Sustainability
title_sort A Systematic Review of User Mental Models on Applications Sustainability
publishDate 2023
container_title International Journal of Sustainable Construction Engineering and Technology
container_volume 14
container_issue 3
doi_str_mv 10.30880/ijscet.2023.14.03.032
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172402636&doi=10.30880%2fijscet.2023.14.03.032&partnerID=40&md5=a0ce7fe0b241b1a5538070396edfcc19
description In Human-Computer Interaction (HCI), a user’s mental model affects application sustainability. This study's goal is to find and assess previous work in the area of user mental models and how it relates to the sustainability of application. Thus, a systematic review process was used to identify 641 initial articles, which were then screened based on inclusion and exclusion criteria. According to the review, it has been observed that the mental model of a user has an impact on the creation of applications not only within the domain of Human-Computer Interaction (HCI), but also in other domains such as Enterprise Innovation Ecology, Explainable Artificial Intelligence (XAI), Information Systems (IS), and various others. The examined articles discussed company managers' difficulties in prioritising innovation and ecology, and the necessity to understand users' mental models to build and evaluate intelligent systems. The reviewed articles mostly used experimental, questionnaire, observation, and interviews, by applying either qualitative, quantitative, or mixed-method methodologies. This study highlights the importance of user mental models in application sustainability, where developers may create apps that suit user demands, fit with cognitive psychology principles, and improve human-AI collaboration by understanding user mental models. This study also emphasises the importance of user mental models in the long-term viability and sustainability of applications, and provides significant insights for application developers and researchers in building more user-centric and sustainable applications. © Universiti Tun Hussein Onn Malaysia Publisher’s Office.
publisher Penerbit UTHM
issn 21803242
language English
format Review
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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