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Design of a social chatbot with gamification for user profiling and smoking trigger detection

Kyana Bosschaerts (UGent) , Jeroen Stragier, Bram Steenwinckel (UGent) , Lieven De Marez (UGent) , Sofie Van Hoecke (UGent) and Femke Ongenae (UGent)
(2023) PERVASIVE COMPUTING TECHNOLOGIES FOR HEALTHCARE, PERVASIVEHEALTH 2022. In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 488. p.636-650
Author
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.
Keywords
Smoking cessation, Social chatbot, Gamification, User profiling, Behavioral change interventions, Digital health, ASSOCIATIONS

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MLA
Bosschaerts, Kyana, et al. “Design of a Social Chatbot with Gamification for User Profiling and Smoking Trigger Detection.” PERVASIVE COMPUTING TECHNOLOGIES FOR HEALTHCARE, PERVASIVEHEALTH 2022, 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, PERVASIVEHEALTH 2022, 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, PERVASIVEHEALTH 2022, 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, PERVASIVEHEALTH 2022, 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, PERVASIVEHEALTH 2022. 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, PERVASIVEHEALTH 2022, 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, PERVASIVEHEALTH 2022}},
  isbn         = {{9783031345852}},
  issn         = {{1867-8211}},
  keywords     = {{Smoking cessation,Social chatbot,Gamification,User profiling,Behavioral change interventions,Digital health,ASSOCIATIONS}},
  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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