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Perceived Risk and Fashion on the Intention to Adopt Wireless Earbuds in the United States Using a Partial Least Squares-Structural Equation Modeling Approach: Empirical Study

Perceived Risk and Fashion on the Intention to Adopt Wireless Earbuds in the United States Using a Partial Least Squares-Structural Equation Modeling Approach: Empirical Study

Nunes and Arruda Filho [14] examined users’ Google Glass adoption and identified three categories of users: socially satisfied, socially constrained, and early adopters. The early adopters were subcategorized as enthusiasts and visionaries. Dehghani and Kim [15] proposed three key factors, such as screen size, uniqueness, and design, that affected participants’ current and potential future purchase intention of smartwatches.

Edward M Lee, Chandrasekar Subramaniam, Sungjune Park

JMIR Form Res 2025;9:e56887

Correction: Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning–Based Audio Enhancement: Algorithm Development and Validation

Correction: Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning–Based Audio Enhancement: Algorithm Development and Validation

The fourth author’s name has been corrected from: Chu-Hsiang Huang to: Chun-Hsiang Huang Additionally, the affiliation of authors Chun-Hsiang Huang, Chi-Hsin Chen, and Cheng-Yi Fan has been updated from: 3 Department of Emergency Medicine, National Taiwan University Hsin-Chu Hospital, Hsinchu, Taiwan to: 3 Department of Emergency Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan Edward Pei-Chuan Huang’s affiliation has also been updated from: 3 Department of Emergency Medicine, National

Jing-Tong Tzeng, Jeng-Lin Li, Huan-Yu Chen, Chun-Hsiang Huang, Chi-Hsin Chen, Cheng-Yi Fan, Edward Pei-Chuan Huang, Chi-Chun Lee

JMIR AI 2025;4:e76150