Research Article
Design of a Social Chatbot with Gamification for user Profiling and Smoking Trigger Detection
@INPROCEEDINGS{10.1007/978-3-031-34586-9_42, author={Kyana Bosschaerts and Jeroen Stragier and Bram Steenwinckel and Lieven De Marez and Sofie Van Hoecke and Femke Ongenae}, title={Design of a Social Chatbot with Gamification for user Profiling and Smoking Trigger Detection}, proceedings={Pervasive Computing Technologies for Healthcare. 16th EAI International Conference, PervasiveHealth 2022, Thessaloniki, Greece, December 12-14, 2022, Proceedings}, proceedings_a={PERVASIVEHEALTH}, year={2023}, month={6}, keywords={Smoking cessation Social chatbot Gamification User profiling Behavioral change interventions Digital health}, doi={10.1007/978-3-031-34586-9_42} }- Kyana Bosschaerts
Jeroen Stragier
Bram Steenwinckel
Lieven De Marez
Sofie Van Hoecke
Femke Ongenae
Year: 2023
Design of a Social Chatbot with Gamification for user Profiling and Smoking Trigger Detection
PERVASIVEHEALTH
Springer
DOI: 10.1007/978-3-031-34586-9_42
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.
