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March 3, 2026Frontiers in Psychology2 citationsOpen Access

Prediction of smartphone overdependence and analysis of its influencing factors among older adults based on machine learning

HKHaiyan KongXWXinyu WangHFHualong Fang

Key Points

  • Smartphone overdependence can be predicted using machine learning techniques, addressing a growing concern.
  • The study identifies key risk factors among older adults, highlighting significant areas for intervention.
  • Artificial intelligence algorithms provide essential insights into behavioral patterns related to smartphone use.
  • These findings underscore the importance of understanding technology's impact on older adults' well-being.

Abstract

Artificial intelligence algorithms have the potential for predictive and explanatory capabilities, identifying the risk of smartphone overdependence among older adults and the associated risk factors. This has significant theoretical and practical implications for understanding and addressing this issue.

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Cite This Study

Kong et al. (2026) studied this question.

synapsesocial.com/papers/69a75b27c6e9836116a21f36https://doi.org/10.3389/fpsyg.2026.1704618
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