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. 2026 May 22;17:1832572. doi: 10.3389/fpsyg.2026.1832572

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Copyright © 2026 Xu and Xia.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Three grouped bar charts display SFS regression coefficients for Static, Dynamic, and Interactive groups, comparing technology acceptance, social support, network density, age, gender, and income. Tech acceptance consistently shows the strongest effect. Social support and network density coefficients, indicated by orange and green bars, increase from top to bottom charts. Income displays significant impact only in Dynamic and Interactive groups. Significance is denoted by asterisks, and R-squared values increase from 0.37 to 0.68 across groups, with the Interactive group demonstrating the highest model power. Age and gender reveal no significant effects in any group. — Regression coefficients and 95% confidence intervals of social function scores (SFS) for each experimental group.