Short answer
Implement customization features in mHealth apps, but ensure they are tailored or adaptable to users with a high need for autonomy to maximize effectiveness in promoting physical activity.
- Field
- User-Centred Design
- Source
- Digital Health (2019)
- Method
- Experimental design
- Sample
- 203 participants
- Evidence
- Moderate effect
Personalizing mobile health applications can increase users' intention to engage in physical activity, but only for individuals who highly value personal control and self-direction. This user-centred design research insight is drawn from a 2019 study published in Digital Health. Using Experimental design with 203 participants, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Implement customization features in mHealth apps, but ensure they are tailored or adaptable to users with a high need for autonomy to maximize effectiveness in promoting physical activity.
Customization in mHealth apps is only effective for users with a high need for autonomy.
Personalizing mobile health applications can increase users' intention to engage in physical activity, but only for individuals who highly value personal control and self-direction.
Digital Health · 2019
Key Findings
- 01Customization in mobile health apps did not universally increase perceived active control, autonomous motivation, or intention to engage in physical activity.
- 02Customization led to higher intentions to engage in physical activity specifically for users with a greater need for autonomy.
Application
Design takeaway
Implement customization features in mHealth apps, but ensure they are tailored or adaptable to users with a high need for autonomy to maximize effectiveness in promoting physical activity.
How to apply
When designing a fitness app, offer users choices in goal setting, notification preferences, and interface themes, and observe if engagement differs between users who actively select these options versus those who don't.
Project actions
- 01When researching user preferences for an app, ask questions about how much control they like to have over their digital tools.
- 02Consider how different levels of customization might impact user engagement in your design prototypes.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Employs an experimental design to establish causality.
- +Investigates a specific psychological moderator (need for autonomy) that is often overlooked in design.
Limitations
The study's findings are specific to mHealth apps and physical activity; customization effects might differ in other domains. The 'need for autonomy' is a complex psychological construct that may be influenced by many factors.
Reliability & validity
The use of structural equation modelling and an experimental design enhances the internal validity. Reliability of measures for psychological constructs would be important to consider.
Think critically
How might the *type* of customization offered (e.g., aesthetic vs. functional) influence its effectiveness for users with varying needs for autonomy?
Design Principles
"User interface customization should be sensitive to individual differences in psychological needs, particularly the need for autonomy, to foster engagement and behaviour change."
This insight highlights that a one-size-fits-all approach to customization in digital health tools may not yield desired behavioural outcomes. Designers must consider individual user psychological needs, specifically the drive for autonomy, when developing features intended to motivate health-related behaviours.
What This Means for Your Design
Making health apps customizable is only helpful for people who really like to have control over their choices; others don't see much benefit.
How to use in your project
- 1.Reference this study when discussing the rationale for specific user interface design choices, particularly those involving personalization or user control.
Add to My Project
Quick Cite
Paragraph starter
Research indicates that the effectiveness of customization in digital health applications is contingent on user psychology. Specifically, a study by Bol et al. (2019) found that while customization did not universally enhance motivation or intention to engage in physical activity, it significantly increased these intentions for individuals with a high need for autonomy, suggesting that personalized design choices must consider individual differences in the desire for self-determination.
Source
Digital Health
Customization in mobile health apps: explaining effects on physical activity intentions by the need for autonomy
journal · 2019
View sourceQuestions About This Research
- What does the research say about customization in mhealth apps is only effective for users with a high need for autonomy?
- Implement customization features in mHealth apps, but ensure they are tailored or adaptable to users with a high need for autonomy to maximize effectiveness in promoting physical activity. Evidence: Digital Health (2019).
- Why does "Customization in mHealth apps is only effective for users with a high need for autonomy." matter for design?
- This insight highlights that a one-size-fits-all approach to customization in digital health tools may not yield desired behavioural outcomes. Designers must consider individual user psychological needs, specifically the drive for autonomy, when developing features intended to motivate health-related behaviours.
- How can designers apply this research?
- Implement customization features in mHealth apps, but ensure they are tailored or adaptable to users with a high need for autonomy to maximize effectiveness in promoting physical activity.
- What were the main findings?
- Customization in mobile health apps did not universally increase perceived active control, autonomous motivation, or intention to engage in physical activity.. Customization led to higher intentions to engage in physical activity specifically for users with a greater need for autonomy.
- What research method was used?
- Experimental design with 203 participants.
- How strong is the evidence?
- Evidence strength is rated Moderate effect, based on a 2019 journal from Digital Health.
- What should I do differently in my next project?
- When designing a fitness app, offer users choices in goal setting, notification preferences, and interface themes, and observe if engagement differs between users who actively select these options versus those who don't.
- What are the limitations?
- The study used a convenience sample, and the findings may not generalize to all populations. The specific customization features implemented were not detailed, potentially influencing outcomes.