The longitudinal relationships between Internet adaptability and usage behavior on AI-driven healthcare platforms
A cross-lagged panel network analysis
Bibliographic Data
| ID | 21282937 |
|---|---|
| Authors | Li Zhao (0009-0004-7836-6878, Capital University of Economics and Business), Feixue Sui (Shandong Agricultural University, corresponding author) |
| Year | 2026 |
| Volume | 264 |
| Pages | 106361 |
| Publication date | 2026-04-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Acta Psychologica (JOURNAL) |
| Journal identifiers | ISSN: 0001-6918 • E-ISSN: 1873-6297 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.actpsy.2026.106361 |
| PMID | 41655348 |
| OpenAlex | W7128294835 |
| Language | EN |
| References cited | 61 |
Internet adaptability on artificial intelligence (AI) healthcare platforms is a key factor influencing users' continued usage and the effectiveness of platform outcomes. It has emerged as a major challenge in the era of digital healthcare transformation. However, it remains unclear to what extent users' Internet adaptability and platform usage behaviors interact, predict each other, and sustain a dynamic pattern of co-evolution. Therefore, this study employed cross-lagged panel network (CLPN) analysis with a multi-wave longitudinal design to uncover the network structure and dynamic interaction mechanisms underlying the co-occurrence of users' network adaptability and usage behaviors on AI-driven healthcare platforms. The results show that (1) In the cross-sectional network, there was a relatively dispersed structure during the early stage. As user experience accumulated, the network became increasingly centralized around a few core pathways, with self-efficacy and disease prevention emerging as key nodes. (2) According to the CLPN analysis, network adaptability factors (such as information protection, learning ability, and self-control) significantly promoted later usage behavior on AI-driven healthcare platforms (particularly self-diagnosis and disease prevention), forming a causal chain from adaptation to usage. (3) There are gender differences in the predictive effects of various dimensions of Internet adaptability on platform usage behaviors. Female users tend to adopt a socially oriented and holistic approach to health information processing, whereas male users are more inclined towards a tool-oriented and functional usage pattern. Interpreting user behavior evolution in intelligent healthcare environments, this research provides theoretical insights for the personalized design and precision service of AI-driven healthcare platforms
Adaptability · Adaptation (eye) · Health care · Healthcare service · Key (lock) · Service (business) · The Internet · Digital Mental Health Interventions · Technology Adoption and User Behaviour · Technology Use by Older Adults
Being Immersed in Social Networking Environment
Gender Differences in Searching for Health Information on the Internet and the Virtual Patient-Physician Relationship in Germany
Comorbidity
Why people use social media
A network theory of mental disorders
Consumer health information seeking in social media
Psychometric Network Models from Time-Series and Panel Data
Understanding consumer health information-seeking behavior from the perspective of the risk perception attitude framework and social support in mobile social media websites
Understanding the effects of gratifications on the continuance intention to use WeChat in China
Consumer Acceptance and Use of Information Technology
A tutorial on regularized partial correlation networks.
Network Analysis
Digital social media expression and social adaptability of the older adult driven by artificial intelligence
Perceived Parental Monitoring of Smartphones and Problematic Smartphone Use in Adolescents
The Primacy of Gender
Online Health Information Seeking
AI-powered learning application use and gratification
The roles of trust, personalization, loss of privacy, and anthropomorphism in public acceptance of smart healthcare services
Digital health platforms for the elderly? Key adoption and usage barriers and ways to address them
Healthcare workers' adoption of and satisfaction with artificial intelligence
Navigating AI unpredictability
How student perceptions about online learning difficulty influenced their satisfaction during Canada's Covid‐19 response
How Online Privacy Literacy Supports Self-Data Protection and Self-Determination in the Age of Information
Ritualized and Instrumental Television Viewing
Uses and Grats 2.0
A Social Cognitive Theory of Internet Uses and Gratifications
The adolescent Internet Adaptability Scale
Self-efficacy
A Cross-lagged Panel Network Analysis of the Relationship Between Emotion Regulation Difficulties and Problematic TikTok Use
Is preference for mHealth intervention delivery platform associated with delivery platform familiarity
I never thought I could get health information from the Internet!”
Everybody wants some
Artificial intelligence innovation in healthcare
Older adults’ mental health information preferences
The longitudinal relationship between the achievement of successful aging and its influencing factors
Uses and Gratifications Research
Adaptability and affordances in new media
| Highly cited | No |
|---|