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Applying Human-Centered Design to Develop Smartphone-Based Intervention Messages to Help Young Adults Quit Using
Thi Phuong Thao Tran1,2, Christine Tran3,4, Pamela M Ling4,5
1School of Public Health, Georgia State University, Atlanta, GA, United States.
This study developed smartphone messages for young adults to quit smoking and vaping using human-centered design. Remote testing significantly improved message comprehension, usefulness, tone, and design for effective dual tobacco cessation.
Area of Science:
- Public Health
- Digital Health
- Behavioral Science
Background:
- Young adults commonly engage in dual tobacco use (e-cigarettes and cigarettes), yet few cessation interventions exist.
- Human-centered design (HCD) approaches are underutilized in developing interventions for dual tobacco cessation.
Purpose of the Study:
- To apply an HCD approach to develop smartphone-based intervention messages for dual tobacco cessation among young adults.
- To refine messages based on user feedback to enhance their effectiveness.
Main Methods:
- Developed intervention messages using HCD principles, cessation theories, and prior research.
- Conducted three rounds of asynchronous online message testing with 35 young adults (18-29 years) motivated to quit.
- Collected quantitative ratings (comprehension, usefulness, tone, design) and qualitative feedback on message elements.
Main Results:
- Significant improvements were observed in overall message ratings after refinement (3.6 to 4.6).
- Specific improvements noted in comprehension (4.0 to 4.9), usefulness (3.0 to 4.4), tone (3.8 to 4.8), and design (3.4 to 4.4).
- Qualitative feedback identified effective design elements (clear layout, minimal imagery) and areas for improvement (color, text length, wording).
Conclusions:
- HCD, combined with remote message testing, effectively developed appealing and relevant smartphone intervention messages for dual tobacco cessation.
- Remote testing facilitates rapid prototyping and user feedback for timely intervention refinement.
- This methodology can inform future digital health interventions for emerging behaviors in young adults.
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