Design of a social chatbot with gamification for user profiling and smoking trigger detection
- Author
- Kyana Bosschaerts (UGent) , Jeroen Stragier, Bram Steenwinckel (UGent) , Lieven De Marez (UGent) , Sofie Van Hoecke (UGent) and Femke Ongenae (UGent)
- Organization
- Project
- Abstract
- User profiling is essential to help smokers quit smoking, but filling out a questionnaire is tedious and therefore, a lot of smokers drop out even though this personalisation can help them greatly in their journey to quit smoking. In this project a chatbot is designed that acquires the necessary data for personalisation through games. Combined with smoking event registrations, the application can detect smoking triggers. 12 participants tested the chatbot for 15 d by talking to it and registering their smoking events. Results show that the chatbot reaches the requirements of a social chatbot, gathers for most games good quality data, and detected smoking triggers are accurate, making the chatbot a great alternative for smokers with an interest in games.
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01GQ7AFCX6DDV96R4CY31B99SM
- MLA
- Bosschaerts, Kyana, et al. “Design of a Social Chatbot with Gamification for User Profiling and Smoking Trigger Detection.” Pervasive Computing Technologies for Healthcare, 16th EAI International Conference, PervasiveHealth 2022, Proceedings, vol. 488, Springer, 2023, pp. 636–50, doi:10.1007/978-3-031-34586-9_42.
- APA
- Bosschaerts, K., Stragier, J., Steenwinckel, B., De Marez, L., Van Hoecke, S., & Ongenae, F. (2023). Design of a social chatbot with gamification for user profiling and smoking trigger detection. Pervasive Computing Technologies for Healthcare, 16th EAI International Conference, PervasiveHealth 2022, Proceedings, 488, 636–650. https://doi.org/10.1007/978-3-031-34586-9_42
- Chicago author-date
- Bosschaerts, Kyana, Jeroen Stragier, Bram Steenwinckel, Lieven De Marez, Sofie Van Hoecke, and Femke Ongenae. 2023. “Design of a Social Chatbot with Gamification for User Profiling and Smoking Trigger Detection.” In Pervasive Computing Technologies for Healthcare, 16th EAI International Conference, PervasiveHealth 2022, Proceedings, 488:636–50. Springer. https://doi.org/10.1007/978-3-031-34586-9_42.
- Chicago author-date (all authors)
- Bosschaerts, Kyana, Jeroen Stragier, Bram Steenwinckel, Lieven De Marez, Sofie Van Hoecke, and Femke Ongenae. 2023. “Design of a Social Chatbot with Gamification for User Profiling and Smoking Trigger Detection.” In Pervasive Computing Technologies for Healthcare, 16th EAI International Conference, PervasiveHealth 2022, Proceedings, 488:636–650. Springer. doi:10.1007/978-3-031-34586-9_42.
- Vancouver
- 1.Bosschaerts K, Stragier J, Steenwinckel B, De Marez L, Van Hoecke S, Ongenae F. Design of a social chatbot with gamification for user profiling and smoking trigger detection. In: Pervasive Computing Technologies for Healthcare, 16th EAI International Conference, PervasiveHealth 2022, Proceedings. Springer; 2023. p. 636–50.
- IEEE
- [1]K. Bosschaerts, J. Stragier, B. Steenwinckel, L. De Marez, S. Van Hoecke, and F. Ongenae, “Design of a social chatbot with gamification for user profiling and smoking trigger detection,” in Pervasive Computing Technologies for Healthcare, 16th EAI International Conference, PervasiveHealth 2022, Proceedings, Thessaloniki, Greece, 2023, vol. 488, pp. 636–650.
@inproceedings{01GQ7AFCX6DDV96R4CY31B99SM,
abstract = {{User profiling is essential to help smokers quit smoking, but filling out a questionnaire is tedious and therefore, a lot of smokers drop out even though this personalisation can help them greatly in their journey to quit smoking. In this project a chatbot is designed that acquires the necessary data for personalisation through games. Combined with smoking event registrations, the application can detect smoking triggers. 12 participants tested the chatbot for 15 d by talking to it and registering their smoking events. Results show that the chatbot reaches the requirements of a social chatbot, gathers for most games good quality data, and detected smoking triggers are accurate, making the chatbot a great alternative for smokers with an interest in games.}},
author = {{Bosschaerts, Kyana and Stragier, Jeroen and Steenwinckel, Bram and De Marez, Lieven and Van Hoecke, Sofie and Ongenae, Femke}},
booktitle = {{Pervasive Computing Technologies for Healthcare, 16th EAI International Conference, PervasiveHealth 2022, Proceedings}},
isbn = {{9783031345869}},
issn = {{1867-822X}},
language = {{eng}},
location = {{Thessaloniki, Greece}},
pages = {{636--650}},
publisher = {{Springer}},
title = {{Design of a social chatbot with gamification for user profiling and smoking trigger detection}},
url = {{http://doi.org/10.1007/978-3-031-34586-9_42}},
volume = {{488}},
year = {{2023}},
}
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