Factors Influencing Behavioral Intention to Use Hear Me Application towards the Hearing People
Communication plays a vital role in life. Improved communication media to bridge the communication gap between The Hearing and The Deaf can be done with an Indonesian sign language translator application, called the Hear Me application. In Indonesia, Hear Me application is classified as new technology. Before launching the Hear Me application to the public, it is essential to understand the factors that encourage somebody's interest or intention in accepting the use of new technology. Since the first features that are now being developed in the application operate from The Hearing sides to translate the audio or text into sign language in 3D animation forms. Therefore, Hear Me has never been further identified to determine the interests or behavioral intentions of prospective users, mainly from The Hearing sides, regarding their intention to use it. Whereas understanding the acceptance of new technology by users is essential and helps for the further development of this technology. This research analyzes the factors that influence the behavioral intention to use Hear Me application towards The Hearing people in Bandung, Surabaya, and Jakarta using Unified Theory of Acceptance and Use of Technology (UTAUT) model that have four independent variables of Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC). In this research, the method used is quantitative by distributing questionnaires online to gather data from 203 respondents of The Hearing people who fit the criteria. The data analysis uses Multiple Linear Regression. The results showed that three independent variables of performance expectancy, effort expectancy, and social influence significantly influence behavioral intention to use. While facilitating conditions are insignificant on influencing behavioral intention to use the application.
Breva Yunanda, A., Mandita, F., & Primasetya Armin, A. (2018). Pengenalan Bahasa Isyarat Indonesia (BISINDO) Untuk Karakter Huruf Dengan Menggunakan Microsoft Kinect. Fountain Of Informatics Journal, 3(2), 41.
Mentaya, A., Sunarto, M. & Haria, S., 2015. Faktor-Faktor Yang Berpengaruh Terhadap Penerimaan Aplikasi Brilian Dengan Model UTAUT. JSIKA, 4(2).
Möbus, L. (2010). Making Web Content Accessible for The Deaf via Sign Language. Library Hi Tech, 28(4), 569-576.
Mustaqim, R., Kusyanti, A. & Aryadita, H. (2018). Analisis Faktor-Faktor yang Memengaruhi Niat Penggunaan E-Commerce XYZ Menggunakan Model UTAUT (Unified Theory Acceptance and Use Of Technology). Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 2(7), 2584-2593.
Tuli Dan Bahasa Isyarat Di Dunia Kerja. (2020). Retrieved 28 April 2020, from https://parakerja.co.id/artikel/details4.php?artikel=Tuli-dan-Bahasa-Isyarat-di-Dunia-Kerja
Suharjito, Anderson, R., Wiryana, F., Ariesta, M., & Kusuma, G. (2017). Sign Language Recognition Application Systems for Deaf-Mute People: A Review Based on Input-Process-Output. Procedia Computer Science, 116, 441-448.
Taherdoost, H. (2017). Understanding of e-service security dimensions and its effect on quality and intention to use. Information And Computer Security, 25(5), 535-559.
Venkatesh, V., Morris, M., Davis, F., & Davis, G. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425.