An Acceptance Model for the Adoption of Smart Glasses Technology by Healthcare Professionals

Güngör, Dilek Özdemir; Göken, Müge; Başoğlu, Nuri; Shaygan, Amir; Dabić, Marina; Daim, Tuğrul U.

doi:10.1007/978-3-030-27285-2_6

Cited by 7 publications

(4 citation statements)

References 69 publications

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“…Over the last few years, numerous studies have investigated the use of smart glasses (with [33][34][35][36][37][38][39][40][41][42][43][44][45][46] and without augmented reality [5][6][7][8][9][10][11][12][13][14][15][16]) in healthcare. Given that our study participants lived in rural/remote areas with an expected digital divide issue [47][48][49], the more advanced use of smart glasses, i.e., augmented reality with superimposing virtual objects on video of real world was not used for our XROs to obtain remote support in their radiography practice from their supervising radiographers [33][34][35][36][37][38][39][40][41][42][43][44][45][46]. Among the recent studies on the use of smart glasses without any augmented reality [5][6][7]...…”

Section: Discussionmentioning

confidence: 99%

Use of Smart Glasses (Assisted Reality) for Western Australian X-ray Operators’ Continuing Professional Development: A Pilot Study

Ng,

Baldock,

Newman

2024

Healthcare

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Previous studies have explored use of smart glasses in telemedicine, but no study has investigated its use in teleradiography. The purpose of this study was to implement a six-month pilot program for Western Australian X-ray operators (XROs) to use smart glasses to obtain assisted reality support in their radiography practice from their supervising radiographers, and evaluate its effectiveness in terms of XROs’ competence improvement and equipment usability. Pretest–posttest design with evaluation of the XROs’ competence (including their X-ray image quality) and smart glasses usability by XROs in two remote centers and their supervising radiographers from two sites before and after the program using four questionnaire sets and X-ray image quality review was employed in this experimental study. Paired t-test was used for comparing mean values of the pre- and post-intervention pairs of 11-point scale questionnaire and image quality review items to determine any XROs’ radiography competence improvements. Content analysis was used to analyze open questions about the equipment usability. Our study’s findings based on 13 participants (11 XROs and 2 supervising radiographers) and 2053 X-ray images show that the assisted reality support helped to improve the XROs’ radiography competence (specifically X-ray image quality), with mean post-intervention competence values of 6.16–7.39 (out of 10) and statistical significances (p < 0.001–0.05), and the equipment was considered effective for this purpose but not easy to use.

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Section: Discussionmentioning

confidence: 99%

Use of Smart Glasses (Assisted Reality) for Western Australian X-ray Operators’ Continuing Professional Development: A Pilot Study

Ng,

Baldock,

Newman

2024

Healthcare

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“…Smart glasses are portable wearable devices with the latest design of hands‐free augmented reality 48,84,85 . This design involves direct contact with the skin at the face and head, which can have detrimental effects at a high temperature.…”

Section: Thermal Principle and Measurement Methodsmentioning

confidence: 99%

Thermal management of wearable and implantable electronic healthcare devices: Perspective and measurement approach

2020

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Summary The performance of electronic devices, mostly in medical applications, has been investigated to determine whether they meet the requirements of healthcare monitoring and patient's satisfaction. Mobile health monitoring is preferable at present given the current innovations in handheld, wearable, and implantable devices. However, these applications require appropriate thermal management because they are attached directly to the human body and operate for a long period. Moreover, a sophisticated design with functional mobility necessitates proper thermal circulation during the process. This review provides the current research direction for cooling systems, the thermal working principle of wearable and implantable devices, and its implementation on design architecture. Then, the importance of internal and external functional properties in thermal management and their effects on device performance are discussed. Operating temperature is among the most important elements in monitoring thermal performance due to the tendency of tissue and component damages to occur after an increment of only 1°C or 2°C in temperature. Challenges and available solutions for thermal management are listed in detail to improve cooling methods and service to the healthcare field.

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“…The third relation suggested is between Effort Expectancy (EE) > Attitude (AT) [94,95]. The fourth relation frequently estimated in the literature is between the constructs Attitude 138 (AT) > Behavioral Intention (BI) [96,97]. The fifth relation added is between Privacy Risks (RP) > Behavioral Intention (BI), also often estimated in the m-health literature [90,98].…”

Section: Proposed Modelmentioning

confidence: 96%

Getting Connected to M-Health Technologies through a Meta-Analysis

Calegari

Tortorella

Fettermann

2023

IJERPH

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The demand for mobile e-health technologies (m-health) continues with constant growth, stimulating the technological advancement of such devices. However, the customer needs to perceive the utility of these devices to incorporate them into their daily lives. Hence, this study aims to identify users’ perceptions regarding the acceptance of m-health technologies based on a synthesis of meta-analysis studies on the subject in the literature. Using the relations and constructs proposed in the UTAUT2 (Unified Theory of Acceptance and Use of Technology 2) technology acceptance model, the methodological approach utilized a meta-analysis to raise the effect of the main factors on the Behavioral Intention to Use m-health technologies. Furthermore, the model proposed also estimated the moderation effect of gender, age, and timeline variables on the UTAUT2 relations. In total, the meta-analysis utilized 84 different articles, which presented 376 estimations based on a sample of 31,609 respondents. The results indicate an overall compilation of the relations, as well as the primary factors and moderating variables that determine users’ acceptance of the studied m-health systems.

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An Acceptance Model for the Adoption of Smart Glasses Technology by Healthcare Professionals

Cited by 7 publications

References 69 publications

Use of Smart Glasses (Assisted Reality) for Western Australian X-ray Operators’ Continuing Professional Development: A Pilot Study

Use of Smart Glasses (Assisted Reality) for Western Australian X-ray Operators’ Continuing Professional Development: A Pilot Study

Thermal management of wearable and implantable electronic healthcare devices: Perspective and measurement approach

Getting Connected to M-Health Technologies through a Meta-Analysis

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