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Usability and acceptance of crowd-based early warning of harmful algal blooms

Crowdsensing has become an alternative solution to physical sensors and apparatuses. Utilizing citizen science communities is undoubtedly a much cheaper solution. However, similar to other participatory-based applications, the willingness of community members to be actively involved is paramount to...

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Autores principales: Manik, Lindung Parningotan, Albasri, Hatim, Puspasari, Reny, Yaman, Aris, Al Hakim, Shidiq, Siagian, Al Hafiz Akbar Maulana, Kushadiani, Siti Kania, Riyanto, Slamet, Setiawan, Foni Agus, Thesiana, Lolita, Jabbar, Meuthia Aula, Saville, Ramadhona, Wada, Masaaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985416/
https://www.ncbi.nlm.nih.gov/pubmed/36879908
http://dx.doi.org/10.7717/peerj.14923
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author Manik, Lindung Parningotan
Albasri, Hatim
Puspasari, Reny
Yaman, Aris
Al Hakim, Shidiq
Siagian, Al Hafiz Akbar Maulana
Kushadiani, Siti Kania
Riyanto, Slamet
Setiawan, Foni Agus
Thesiana, Lolita
Jabbar, Meuthia Aula
Saville, Ramadhona
Wada, Masaaki
author_facet Manik, Lindung Parningotan
Albasri, Hatim
Puspasari, Reny
Yaman, Aris
Al Hakim, Shidiq
Siagian, Al Hafiz Akbar Maulana
Kushadiani, Siti Kania
Riyanto, Slamet
Setiawan, Foni Agus
Thesiana, Lolita
Jabbar, Meuthia Aula
Saville, Ramadhona
Wada, Masaaki
author_sort Manik, Lindung Parningotan
collection PubMed
description Crowdsensing has become an alternative solution to physical sensors and apparatuses. Utilizing citizen science communities is undoubtedly a much cheaper solution. However, similar to other participatory-based applications, the willingness of community members to be actively involved is paramount to the success of implementation. This research investigated factors that affect the continual use intention of a crowd-based early warning system (CBEWS) to mitigate harmful algal blooms (HABs). This study applied the partial least square-structural equation modeling (PLS-SEM) using an augmented technology acceptance model (TAM). In addition to the native TAM variables, such as perceived ease of use and usefulness as well as attitude, other factors, including awareness, social influence, and reward, were also studied. Furthermore, the usability factor was examined, specifically using the System Usability Scale (SUS) score as a determinant. Results showed that usability positively affected the perceived ease of use. Moreover, perceived usefulness and awareness influenced users’ attitudes toward using CBEWS. Meanwhile, the reward had no significant effects on continual use intention.
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spelling pubmed-99854162023-03-05 Usability and acceptance of crowd-based early warning of harmful algal blooms Manik, Lindung Parningotan Albasri, Hatim Puspasari, Reny Yaman, Aris Al Hakim, Shidiq Siagian, Al Hafiz Akbar Maulana Kushadiani, Siti Kania Riyanto, Slamet Setiawan, Foni Agus Thesiana, Lolita Jabbar, Meuthia Aula Saville, Ramadhona Wada, Masaaki PeerJ Aquaculture, Fisheries and Fish Science Crowdsensing has become an alternative solution to physical sensors and apparatuses. Utilizing citizen science communities is undoubtedly a much cheaper solution. However, similar to other participatory-based applications, the willingness of community members to be actively involved is paramount to the success of implementation. This research investigated factors that affect the continual use intention of a crowd-based early warning system (CBEWS) to mitigate harmful algal blooms (HABs). This study applied the partial least square-structural equation modeling (PLS-SEM) using an augmented technology acceptance model (TAM). In addition to the native TAM variables, such as perceived ease of use and usefulness as well as attitude, other factors, including awareness, social influence, and reward, were also studied. Furthermore, the usability factor was examined, specifically using the System Usability Scale (SUS) score as a determinant. Results showed that usability positively affected the perceived ease of use. Moreover, perceived usefulness and awareness influenced users’ attitudes toward using CBEWS. Meanwhile, the reward had no significant effects on continual use intention. PeerJ Inc. 2023-03-01 /pmc/articles/PMC9985416/ /pubmed/36879908 http://dx.doi.org/10.7717/peerj.14923 Text en ©2023 Manik et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Aquaculture, Fisheries and Fish Science
Manik, Lindung Parningotan
Albasri, Hatim
Puspasari, Reny
Yaman, Aris
Al Hakim, Shidiq
Siagian, Al Hafiz Akbar Maulana
Kushadiani, Siti Kania
Riyanto, Slamet
Setiawan, Foni Agus
Thesiana, Lolita
Jabbar, Meuthia Aula
Saville, Ramadhona
Wada, Masaaki
Usability and acceptance of crowd-based early warning of harmful algal blooms
title Usability and acceptance of crowd-based early warning of harmful algal blooms
title_full Usability and acceptance of crowd-based early warning of harmful algal blooms
title_fullStr Usability and acceptance of crowd-based early warning of harmful algal blooms
title_full_unstemmed Usability and acceptance of crowd-based early warning of harmful algal blooms
title_short Usability and acceptance of crowd-based early warning of harmful algal blooms
title_sort usability and acceptance of crowd-based early warning of harmful algal blooms
topic Aquaculture, Fisheries and Fish Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985416/
https://www.ncbi.nlm.nih.gov/pubmed/36879908
http://dx.doi.org/10.7717/peerj.14923
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