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Factors Determining Acceptance of Internet of Things in Medical Education: Mixed Methods Study

Factors Determining Acceptance of Internet of Things in Medical Education: Mixed Methods Study

It has been said that it is important to measure these variables and analyze their relationship to TAM to assess the efficiency of Io T in classrooms. Past research and literature have mostly focused on preservice teachers, and there is a need to conduct more studies involving in-service teachers to enhance the practicality of the TAM model [46,47].

Khadija Alhumaid, Kevin Ayoubi, Maha Khalifa, Said Salloum

JMIR Hum Factors 2025;12:e58377

Long-Term Experiences of Health Care Providers Using Iris Scanning as an Identification Tool in a Vaccine Trial in the Democratic Republic of the Congo: Qualitative Study

Long-Term Experiences of Health Care Providers Using Iris Scanning as an Identification Tool in a Vaccine Trial in the Democratic Republic of the Congo: Qualitative Study

They said your eye is sick if you use this device, your eye will be completely damaged, which is why I was afraid. Otherwise, there wasn’t much to it. No, in the neighbourhoods there hadn’t been any rumours, but it was about the vaccine and blood sampling that people were talking nonsense about, not about the iris scan.

Trésor Zola Matuvanga, Antea Paviotti, Freddy Bikioli Bolombo, Gwen Lemey, Ynke Larivière, Maha Salloum, Bernard Isekah Osang'ir, Emmanuel Esanga Longomo, Solange Milolo, Junior Matangila, Vivi Maketa, Patrick Mitashi, Pierre Van Damme, Hypolite Muhindo-Mavoko, Jean-Pierre Van geertruyden

JMIR Form Res 2025;9:e54921

Evaluation of a Guided Chatbot Intervention for Young People in Jordan: Feasibility Randomized Controlled Trial

Evaluation of a Guided Chatbot Intervention for Young People in Jordan: Feasibility Randomized Controlled Trial

All STARS completers said the 15-minute call duration was suitable. Reasons for not completing the intervention included factors such as technical difficulties; concerns about the privacy of the chatbot lessons; the intervention being too “simple” to address problems; and external factors, such as feeling too stressed and having a health issue.

Anne Marijn de Graaff, Rand Habashneh, Sarah Fanatseh, Dharani Keyan, Aemal Akhtar, Adnan Abualhaija, Muhannad Faroun, Ibrahim Said Aqel, Latefa Dardas, Chiara Servili, Mark van Ommeren, Richard Bryant, Kenneth Carswell

JMIR Ment Health 2025;12:e63515

Balancing Between Privacy and Utility for Affect Recognition Using Multitask Learning in Differential Privacy–Added Federated Learning Settings: Quantitative Study

Balancing Between Privacy and Utility for Affect Recognition Using Multitask Learning in Differential Privacy–Added Federated Learning Settings: Quantitative Study

Having said that, the paper is not without limitations. Although we tested our algorithms with state-of-the-art datasets (WESAD 15 participants and VERBIO 55 participants), especially for the biometric task, larger datasets with a more heterogenous and higher number of participants should be used. Furthermore, these datasets were recorded in a controlled environment. Real-life or in-the-wild datasets will create more challenges and might require more advanced and complex architectures.

Mohamed Benouis, Elisabeth Andre, Yekta Said Can

JMIR Ment Health 2024;11:e60003