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Factors Influencing Behavioral Intention for Mobile Applications of Health Care Escort Service
Fan Xu,Zheyuan Zhang,유단단 한국멀티미디어학회 2023 The journal of multimedia information system Vol.10 No.2
Mobile applications of health care escort services (MA-HCES) are applications for booking escorts that accompany patients and offer a range of services during medical visits, including home delivery, queue registration, and face-to-face consultations. Young single-person households are the users of MA-HCES, making it necessary to investigate their behavioral intention to use MA-HCES. This study aims to develop and validate a research model based on the Theory of Planned Behavior (TPB) to identify factors influencing the behavioral intention of this group toward MA-HCES. The research model includes subjective norms, perceived behavioral control, attitude, emotional preference, behavioral intention, and privacy concerns. These factors respectively represent the social pressures felt by individuals when performing the behavior, their perceived ease or difficulty of the behavior, their overall evaluation of the behavior, the emotions that drive the behavior, the inclination to perform the behavior, and their concerns about the extent of personal privacy exposure to others. Data were collected through a survey of 322 young single-person households, and a structural equation model (SEM) was employed to test the research model. The results indicate that subjective norms, perceived behavioral control, attitude, and affective preference positively influence behavioral intention. Subjective norms and emotional preference also have positive influence on attitude. Privacy concerns have a negative influence on attitude but do not influence behavioral intention. This study establishes an innovative model that can predict the behavioral intention of young singleperson households to use MA-HCES, contributing to both practice and theory.
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Ming Chen,Liang Jin,Zheng Wan,Zheyuan Deng,Bo Zhang,Yajun Chen,Kaizhi Huang 한국통신학회 2024 Journal of communications and networks Vol.26 No.6
In this study, we designed a single-channel direction-of-arrival (DOA) estimation and signal separation algorithm based on a grouping scheme for the time-varying metasurfaces (TVMs) for integrated sensing and communication systems. In this scheme, the harmonic effect of the TVM was used to transform the received single-channel signal into a multi-channel signal through an orthogonal Fourier coefficient matrix. After achieving multi-channel DOA estimation, the corresponding weighted beam pointing was designed for signal separation. By applying a periodic modulation function on the TVM to modulate the incident signal, the signal was mapped to a multi-dimensional received space to recover the multi-channel received signal. Thus, conventional multi-channel algorithms could be used on the single-channel signal for DOA estimation. Next, we designed a sub-surface weighted beam pointing to maximize the received signal signal-to-interference-plus-noise ratio. Simulation results revealed that the proposed scheme of DOA estimation can exhibit performances comparable to that of the conventional multi-channel antenna array. Moreover, the signal separation scheme designed based on this method was robust and could maintain good signal separation ability under a low signal-to-noise ratio.
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