Evidence mapPaperPMID 41305236Full record

ArticleSensors (Basel, Switzerland)2025

Psychological Barriers and Perceptual Drivers of Sensor-Based Smart Health Technology Adoption.

Dat Hung Ho, Byeong-Hoon Lee, Byungkwon Jeon, Hak-Seon Kim

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Dat Hung HoDepartment of Global Business, Kyungsung University, Busan 48434, Republic of Korea.ORCID 0000-0001-9599-1481
Byeong-Hoon LeeCheil Electric Co., Ltd., Busan 49437, Republic of Korea.
Byungkwon JeonCheil Electric Co., Ltd., Busan 49437, Republic of Korea.
Hak-Seon KimSchool of Hospitality & Tourism Management, Kyungsung University, Busan 48434, Republic of Korea.ORCID 0000-0001-5361-6368

Funding

Ministry of Trade, Industry and Energy P0020673
6 · The paper itself

Abstract

Smart health technologies integrating radar sensors enable non-invasive, real-time health monitoring and are central to future-oriented healthcare systems. However, psychological and perceptual barriers may hinder their adoption. This study extends the Technology Acceptance Model (TAM) by incorporating Perceived Credibility (PC) and Technology Anxiety (TA) to examine user acceptance of radar-based health monitoring systems. A quantitative survey was conducted with 222 participants in Binh Duong Smart City, Vietnam. Structural Equation Modeling (SEM) was used to analyze the relationships among variables. Results reveal that PC is significantly associated with Perceived Usefulness (PU) and Perceived Ease of Use (PEOU), which subsequently affect Attitude Toward Use (ATU) and Intention to Use (ITU). Technology Anxiety acts as a psychological barrier, moderating the impact of PC and PEOU on PU, and negatively influencing ATU and ITU. Furthermore, students reported lower PEOU and ITU compared to non-students, suggesting subgroup-specific challenges in adopting sensor-based health systems. These findings enhance understanding of psychological dynamics in the adoption of sensor-integrated health technologies and provide practical implications for designing user-centered smart health solutions that build trust and reduce anxiety.

Indexed as

Biomedical TechnologyAdolescentAdultAnxietyFemaleHumansMaleMiddle AgedMonitoring, PhysiologicSurveys and QuestionnairesVietnamYoung Adulthealth monitoring devicesperceived credibilityradar sensorsTechnology Acceptance Modeltechnology anxiety

Identifiers

PMID41305236
PMCPMC12656334

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.