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Can Personalization Persuade? Study of Notification Adaptation in Mobile Behavior Change Intervention Application.
Amadej Jankovič1, Tine Kolenik2,3, Veljko Pejović1
1Faculty of Computer and Information Science, University of Ljubljana, 1000 Ljubljana, Slovenia.
Behavioral Sciences (Basel, Switzerland)
|May 27, 2022
Summary
Personalized mobile notifications show varied effectiveness for behavior change. Tailored messages may impact individuals differently, highlighting the need for personalized approaches in mobile health interventions.
Area of Science:
- Human-Computer Interaction
- Behavioral Science
- Mobile Health
Background:
- Smartphones facilitate large-scale behavior change interventions through mobile applications.
- Mobile notifications are crucial for timely and relevant information delivery within these apps.
Purpose of the Study:
- To investigate the persuasiveness of tailored versus non-tailored mobile notifications in a real-world behavior change app.
- To explore how personalization based on Big Five personality traits influences notification effectiveness.
Main Methods:
- A mobile app intervention was developed for users to set goals and tasks.
- Users received notifications categorized as tailored or non-tailored, personalized by Big Five personality traits.
- Analysis was conducted on both group and individual levels.
Main Results:
- No significant differences in persuasiveness were observed when analyzing users as a single group.
- Individual-level analysis revealed varied effectiveness of tailored messages, with seven users showing interesting interactions between personality traits and notifications.
- Personality-tailored messaging outcomes differed between dynamic mobile and static domains.
Conclusions:
- There is no universal mapping for personality-tailored messaging across different domains.
- Persuasiveness of individual messages does not guarantee user action; the context and individual response are key.
- The relationship between personalization and persuasiveness in mobile interventions is nuanced and requires further individual-level exploration.
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