User Perceptions Of The Security Of Personal Health Data On Chatgpt In Indonesia

This study aims to explore the relationship between perceptions of data security and privacy, awareness of cyberattacks, and other factors that influence users’ trust in ChatGPT and their willingness to provide personal information. Data was collected via a questionnaire and analyzed using SmartPLS. This study examines eight main variables, namely: Privacy Concern (PC), Perceived Effectiveness of Government Regulation (PEGR), Trust in ChatGPT (TR), Moral Motive (MM), Perceived Intelligence (PI), Perceived Risk (PR), Perceived Benefit (PB), and Sharing Willingness (SW). This study tested nine hypotheses regarding the influence of these variables. Data were collected via a questionnaire using a 1–5 Likert scale and analyzed using SmartPLS to test the relationships among constructs using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. The analysis results indicate that four of the proposed hypotheses were supported, with p-values

Likert scale · Perception · Risk perception · Structural equation modeling · COVID-19 Digital Contact Tracing · Information Retrieval and Data Mining · Privacy, Security, and Data Protection