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Call to Action: Investigating Interaction Delay in Smartphone Notifications.
Michael Stach1,2, Lena Mulansky1,2, Manfred Reichert3
1Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany.
Sensors (Basel, Switzerland)
|April 27, 2024
Summary
This study analyzed 10 million smartphone notifications to understand user interaction delays. Developers should tailor notification strategies using user and device data for more effective engagement.
Area of Science:
- Human-Computer Interaction
- Mobile Computing
- User Experience Research
Background:
- Notifications are crucial for mobile user experience.
- Apps vary in their need for immediate versus scheduled notifications.
- Optimizing notification timing reduces user interaction delay.
Purpose of the Study:
- Identify factors influencing user interaction delay with smartphone notifications.
- Analyze the impact of user demographics, personality, and device state on response times.
- Provide data-driven recommendations for improving notification strategies.
Main Methods:
- Analyzed approximately 10 million real-world notifications from 922 users.
- Computed user response times in relation to demographics, Big Five personality traits, and device charging status.
- Examined notification patterns and interaction delays throughout the day and across app categories.
Main Results:
- Notification frequency peaks in late morning and afternoon, decreasing in the evening.
- Lowest average interaction delays occur during daytime hours.
- User's sex and age significantly correlate with notification response times.
- App category influences notification timing tendencies throughout the day.
Conclusions:
- User and device context are critical for effective notification delivery.
- Developers can enhance user engagement by incorporating contextual information into notification strategies.
- Personalized and context-aware notifications lead to shorter interaction delays.
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