METHODS: This study adopted a cross-sectional design and collected data using self-administered questionnaires. The hypotheses were analyzed using the smart partial least squares (Smart-PLS) structural equation modeling method with a dataset containing 503 valid responses. Subsequently, comprehensive data analysis was conducted.

METHODS: This study applied the cognition-affect-conation model to evaluate the perceived value, arousal, pleasure, trust, satisfaction, and continuous use intention. A mobile device was used to obtain health science information from 236 Chinese residents via an online survey and the data were analyzed using partial least squares (PLS)-structural equation modeling.

RESULTS: The results showed that Chinese residents' perceived value of health science information obtained using the mobile device directly affect the degree of arousal (β = 0.412, P < 0.001), pleasure (β = 0.215, P < 0.01), and trust (β = 0.339, P < 0.001). The degree of arousal (β = 0.121, P < 0.01), pleasure (β = 0.188, P < 0.01), and trust (β = 0.619, P < 0.001) directly affected Chinese residents' satisfaction, which further affected their continuous use intention (β = 0.513, P < 0.001). Similarly, trust directly affected Chinese residents' continuous use intention (β = 0.323, P < 0.001). The degree of arousal directly affected their degree of pleasure (β = 0.304, P < 0.001), and pleasure also imposed a direct effect on trust (β = 0.293, P < 0.001).