Abstract
Although behavioural change support systems have proven to be effective in changing user’s behaviour, the need to design effective persuasive systems that optimize persuasive experiences of users continue to remain a challenge. This study seeks to contribute to existing literature that aims at addressing this challenge. Using stratified random sampling technique, 23 health and fitness iOS and Android apps were selected. User reviews of each app were downloaded and compared with the corresponding persuasive systems features using cluster analysis. The findings demonstrated that more system features do not produce higher positive sentiment. It was also observed that apps with more social support features were associated with higher frequencies of fear, sadness and anger related sentiments.
Original language | English |
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Pages (from-to) | 25-39 |
Number of pages | 15 |
Journal | CEUR Workshop Proceedings |
Volume | 2885 |
Publication status | Published - 2021 |
Externally published | Yes |
Event | 9th International Workshop on Behavior Change Support Systems, BCSS 2021 - Bournemouth Duration: 12 Apr 2021 → … |
Keywords
- Fitness apps
- Health
- Health Behaviour Change Support System
- Mobile Health
- Persuasive and Sentiments
- Sentiment analysis