Factors Affecting the Perceived Usability of the COVID-19 Contact-Tracing Application "Thai Chana" during the Early COVID-19 Omicron Period

• Published in: International journal of environmental research and public health Vol. 19; no. 7; p. 4383
• Main Authors: Chuenyindee, Thanatorn, Ong, Ardvin Kester S, Prasetyo, Yogi Tri, Persada, Satria Fadil, Nadlifatin, Reny, Sittiwatethanasiri, Thaninrat
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 06.04.2022; MDPI
• Subjects: Acceptance; Applications programs; Behavior; Contact Tracing; Coronaviruses; COVID-19; COVID-19 - epidemiology; Disease control; Disease prevention; Humans; Hypotheses; Intention; Investigations; Medical supplies; Mobile Applications; Mobile communications networks; Motivation; Multivariate statistical analysis; Pandemics; Technology; Technology Acceptance Model; Telemedicine; Thailand - epidemiology; Tracking control; Usability; Thailand; China; COVID-19; perceived usability; system usability scale; technology acceptance model; protection motivation theory
• ISSN: 1660-4601; 1661-7827; 1660-4601
• DOI: 10.3390/ijerph19074383

Thai Chana is one of the mobile applications for COVID-19 disease-control tracking, especially among the Thais. The purpose of this study was to determine factors affecting the perceived usability of Thai Chana by integrating protection motivation theory, the extended technology acceptance model, and the system usability scale. In all, 800 Thais participated and filled an online questionnaire with 56 questions during the early COVID-19 omicron period (15 December 2021 to 14 January 2022). Structural equation modeling (SEM) showed that the understanding of COVID-19 has significant effects on perceived severity and perceived vulnerability, which subsequently leads to perceived usefulness. In addition, perceived usefulness and perceived ease of use have significant direct effects on attitude, which subsequently leads to the intention to use, actual use, and perceived usability. This study is one of the first studies that have analyzed the mobile application for COVID-19 disease-control tracking. The significant and substantial findings can be used for a theoretical foundation, particularly in designing a new mobile application for disease-control tracking worldwide. Finally, protection motivation theory, the extended technology acceptance model, and the system usability scale can be used for evaluating other disease-control tracking mobile applications worldwide.