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Skip search results from other journals and go to results- 4 JMIR Human Factors
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Factors Determining Acceptance of Internet of Things in Medical Education: Mixed Methods Study
By integrating the technology acceptance model (TAM) and additional external factors, the study seeks to evaluate the effectiveness of Io T as an educational tool from the perspectives of both students and educators. Using the TAM as a metric, along with external variables, the research intends to identify and analyze the factors that influence the acceptance and use of Io T in medical education.
JMIR Hum Factors 2025;12:e58377
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Acceptance of Virtual Reality in Trainees Using a Technology Acceptance Model: Survey Study
The Technology Acceptance Model (TAM) is the leading theoretical framework for evaluating consumer adoption of new technologies [1-3]. The model assesses variables such as perceptions of usefulness, ease of use, and attitudes toward technologies as indicators for intention to use [1,4]. Since the original 1989 model, TAMs have been applied across a wide range of technologies and with high predictive reliability. In 2010, a TAM successfully predicted factors indicative of health informatics acceptance [2].
JMIR Med Educ 2024;10:e60767
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The 2 main ones are the technology acceptance model (TAM) proposed by Davis [26] and the unified theory of acceptability and use of technology (UTAUT) proposed by Venkatesh et al [27].
According to the TAM, the acceptance of technology, that is, the extent to which a product will be used or not, depends on 2 main factors: perceived usefulness (PU) and perceived ease of use (PEOU) [26].
JMIR Hum Factors 2024;11:e58051
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This process will be supported by the technology acceptance model (TAM) as a frame of reference. Although the TAM model has evolved in the last 30 years, the core of TAM remains focused on perceived ease of use and perceived usefulness [13]. Perceived ease of use and perceived usefulness influence attitudes and intentions, which can influence and predict user acceptance and adoption [13].
There is great potential and significant risk to advancing AI technologies in health care.
JMIR Res Protoc 2024;13:e54365
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The first part of this paper analyzes the literature focusing on TAM in relation to the research hypotheses. The second part contains a description of the research methodology used in this study, with emphasis on the validation of the research tool developed for measuring the modified elements of TAM. The following section presents the results regarding the analyzed constructs of the model and the results of structural equation modeling (SEM).
JMIR Hum Factors 2024;11:e47810
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To evaluate the AR program’s acceptability and usability, we employed the System Usability Scale (SUS) and the Technology Acceptance Model (TAM) [20,32,33].
We chose the SUS for its proven reliability and efficiency across various technologies. The SUS is widely used across various domains, including software, websites, and medical devices, to assess overall user experience. Moreover, it has been validated in hospital environments and shown effectiveness with small sample sizes.
JMIR Serious Games 2024;12:e54188
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Among these, Davis’s TAM is significant and effective at predicting users’ intent to use [38].
To increase understanding of the factors affecting behavioral intention, different scholars have modified the original TAM [39-45].
Online J Public Health Inform 2024;16:e51601
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The research model was developed based on the technology acceptance model (TAM) [14]. The TAM measurement scale assesses an individual’s acceptance of technology based on perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance. Though not developed for the health sector, the TAM has been used by health researchers across disciplines to measure the acceptance of digital technologies in health care and education settings [15-17].
JMIR Form Res 2024;8:e50968
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We created the feedback form based on the components of the technology acceptance model (TAM) to assess the use and acceptance of the device. The TAM is used in a variety of disciplines to determine how individuals accept (or not) and use (or not) a given technology. Davis [17] developed this model based on components from the theory of reasoned action [18] and it consists of the following variables: use motivation (with perceived ease of use and perceived usefulness) and behavioral intention [17,19].
JMIR Hum Factors 2024;11:e44619
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Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study
Taking the characteristics shown by m Health apps into consideration, the technology acceptance model (TAM) was chosen for this study [9].
TAM is a computational system, presented by Davis [10], which analyses users’ decision-making processes when adopting a new technology. The TAM was used in this research paper to investigate the adoption of m Health apps. External factors that help describe the user adoption of m Health apps were incorporated into the TAM.
JMIR Mhealth Uhealth 2021;9(9):e27021
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