CORRECTION article
Front. Psychol.
Sec. Addictive Behaviors
Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1700281
Correction: Development and validation of the conversational AI dependence scale for Chinese college students
Provisionally accepted
- 1Shaanxi University of Technology, Hanzhong, China
- 2Anhui University of Chinese Medicine, Hefei, China
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Error in table Table (caption) order The table [1] column headers were in the wrong order in the PDF/HTML version of this paper. The correct order of the column headers should be: Item, Negative impacts, Mood modification, Withdrawal symptoms, Uncontrollability, Communality. The order has now been corrected. The original version of this article has been updated. TABLE 1 The four characteristic dimensions of the CAIDS Item Negative impacts Mood modification Withdrawal symptoms Uncontrollability Communality 33 .79 .72 34 .78 .78 36 .74 .73 47 .68 .63 25 .66 .67 9 .65 .68 11 .82 .84 14 .80 .77 12 .79 .83 15 .73 .73 27 .81 .83 28 .78 .81 30 .71 .77 29 .70 .75 44 .59 .59 4 .77 .76 1 .74 .74 3 .73 .76 5 .70 .70 6 .66 .69 Eigenvalues 3.95 3.70 3.69 3.53 Contribution rate 19.75% 18.51% 18.48% 17.67% Accumulating contribution rate 19.75% 38.25% 56.73% 74.41% N = 547.
Keywords: Conversational artificial intelligence dependence, Validation, scale, Psychometric, Chinese college students
Received: 06 Sep 2025; Accepted: 24 Sep 2025.
Copyright: © 2025 Chen, Wang, Yuan and Zhao. 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) or licensor 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.
* Correspondence: Yuanyuan Chen, chenyuanyuan@snut.edu.cn
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