Mayank Date

ORCID: 0009-0001-0863-5428
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About
Contact & Profiles
Research Areas
  • Impact of Technology on Adolescents
  • Child Development and Digital Technology
  • Technology Adoption and User Behaviour
  • Explainable Artificial Intelligence (XAI)
  • Cyberloafing and Workplace Behavior
  • Artificial Intelligence in Healthcare and Education
  • ICT Impact and Policies
  • Digital Mental Health Interventions

Johns Hopkins University
2024

<sec> <title>BACKGROUND</title> In Saudi Arabia, the use of digital media and technology, such as Internet smartphones, has experienced significant growth. This contributed to concerns about problematic its negative impacts on wellbeing, especially among young people. However, there is a paucity research stakeholder perspectives regarding intervention strategies address these issues. </sec> <title>OBJECTIVE</title> The goal study was gather insights from range societal stakeholders,...

10.2196/preprints.58480 preprint EN 2024-03-19

<sec> <title>BACKGROUND</title> Annotated bibliographies comprise summaries of relevant literature, and training, experience, time is required to create useful annotations. However, generated by artificial intelligence (AI) can contain serious errors. </sec> <title>OBJECTIVE</title> We compared the quality human- AI-generated annotations directly determine strengths weaknesses both. <title>METHODS</title> five criteria (word count, readability, capture main points, presence errors, broader...

10.2196/preprints.69707 preprint EN cc-by 2024-12-05

<sec> <title>BACKGROUND</title> Increasing digital technology and media use among young people has raised concerns about problematic negative consequences. The formal recognition of a addiction (eg, gaming disorder) requires an understanding the landscape interventions designed to prevent this disorder related addictions. </sec> <title>OBJECTIVE</title> We conducted rapid systematic review investigate current evidence on approaches promote well-being, defined as healthy absence problems...

10.2196/preprints.59968 preprint EN 2024-04-30
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