Model fit parameters.

Purpose
StaySafe PH is the Philippines’ official contact tracing software for controlling the propagation of COVID-19 and promoting a uniform contact tracing strategy. The StaySafe PH has various features such as a social distancing system, LGU heat map and response system, real-time monitoring, graphs, infographics, and the primary purpose, which is a contact tracing system. This application is mandatory in establishments such as fast-food restaurants, banks, and malls.
Objective and methodology
The purpose of this research was to determine the country’s willingness to utilize StaySafe PH. Specifically, this study utilized 12 latent variables from the integrated Protection Motivation Theory (PMT), Unified Theory of Acceptance and Use of Technology (UTAUT2), and System Usability Scale (SUS). Data from 646 respondents in the Philippines were employed through Structural Equation Modelling (SEM), Deep Learning Neural Network (DLNN), and SUS.
Results
Utilizing the SEM, it is found that understanding the COVID-19 vaccine, understanding the COVID-19 Delta variant, perceived vulnerability, perceived severity, performance expectancy, social influence, hedonic motivation, behavioral intention, actual use, and the system usability scale are major determinants of intent to utilize the application. Understanding of the COVID-19 Delta Variant was found to be the most important factor by DLNN, which is congruent with the results of SEM. The SUS score of the application is "D", which implies that the application has poor usability.
Implications
It could be implicated that large concerns stem from the trust issues on privacy, data security, and overall consent in the information needed. This is one area that should be promoted. That is, how the data is stored and kept, utilized, and covered by the system, how the assurance could be provided among consumers, and how the government would manage the information obtained. Building the trust is crucial on the development and deployment of these types of technology. The results in this study can also suggest that individuals in the Philippines expected and were certain that vaccination would help them not contract the virus and thus not be vulnerable, leading to a positive actual use of the application.
Novelty
The current study considered encompassing health-related behaviors using the PMT, integrating with the technology acceptance model, UTAUT2; as well as usability perspective using the SUS. This study was the first one to evaluate and assess a contact tracing application in the Philippines, as well as integrate the frameworks to provide a holistic measurement.

## 研究目的
StaySafe PH 是菲律宾官方用于管控新冠疫情传播、推行统一接触追踪策略的接触追踪软件。该软件具备多项功能，包括社交距离管理系统、当地政府单位（Local Government Unit, LGU）热图与响应系统、实时监控、图表及信息图表，其核心功能为接触追踪系统。该应用在快餐店、银行、商场等场所需强制使用。

## 研究目标与方法
本研究旨在调研菲律宾民众对使用StaySafe PH的意愿。具体而言，本研究整合了保护动机理论（Protection Motivation Theory, PMT）、技术接受与使用统一理论（Unified Theory of Acceptance and Use of Technology, UTAUT2）以及系统可用性量表（System Usability Scale, SUS）中的12个潜变量。本研究共收集菲律宾646名受访者的数据，并采用结构方程模型（Structural Equation Modelling, SEM）、深度学习神经网络（Deep Learning Neural Network, DLNN）以及系统可用性量表开展分析。

## 研究结果
经结构方程模型分析发现，对新冠疫苗的认知、对新冠德尔塔变异株的认知、感知易感性、感知严重性、绩效期望、社会影响、享乐动机、行为意向、实际使用行为以及系统可用性量表得分，均为影响该应用使用意向的核心决定因素。深度学习神经网络分析显示，对新冠德尔塔变异株的认知为最重要的影响因素，这一结果与结构方程模型的分析结果一致。该应用的系统可用性量表得分为"D"，表明其可用性较差。

## 研究启示
研究结果表明，民众的主要担忧源于隐私保护、数据安全以及所需信息的知情同意等方面的信任问题。此领域亟需优化：需明确系统如何存储、使用及保护数据，如何向使用者提供安全保障，以及政府将如何管理所收集的信息。建立用户信任对于此类技术的开发与部署至关重要。本研究结果同时显示，菲律宾民众普遍认为疫苗接种可有效避免感染病毒、降低感染风险，进而推动了该应用的实际使用。

## 研究创新性
本研究采用保护动机理论覆盖健康相关行为维度，并整合技术接受与使用统一理论（UTAUT2）与系统可用性量表（SUS）的分析视角，实现了多维度的综合评估。本研究亦是菲律宾国内首个针对接触追踪应用开展评估，并通过整合多框架实现整体性测量的相关研究。