@inproceedings{39c0b4d7c24b43afa5660b9852096b1e,
title = "Healthy hankerings: Motivating adolescents to combat obesity with a mobile application",
abstract = "Obesity has become a major public health issue in most countries around the world. In addition, adolescent obesity is increasing in an alarming rate all over the world. Many attempts have been made to address this issue that ranges from doing exercise to following a diet plan to playing games. While the existence of the above works indicates the past and ongoing efforts to combat adolescent obesity, they are clearly not enough since it is still rising. Researchers have found that adolescent obesity controlling has a lot to do with combating unhealthy cravings that needs strong will power and motivation at such an age. Often, young people and their caregiver struggle to find healthy and nutritious recipes that would fulfill the craving of young people. In order to motivate unfit adolescents towards healthy eating, our research tries to provide them with alternative tasty yet healthier food options using a mobile application. In this paper, we present the design and development details of a mobile application, Healthy Hankerings, which has the potential to help deal with adolescent obesity by motivating its users to choose a healthier food option when they have craving for unhealthy or junk food. To find a healthy recipe, the application uses a recognition algorithm, a decision tree based learning algorithm that considers user{\textquoteright}s meal intake history and current cravings. To evaluate our application, we also present the usability study of the prototype in this paper.",
keywords = "Decision tree, Healthcare, Mobile application, Obesity, Yummly database",
author = "Farzana Rahman and Paul Henninger and David Kegley and Keegan Sullivan and James Yoo",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 20th International Conference on Human-Computer Interaction, HCI 2018 ; Conference date: 15-07-2018 Through 20-07-2018",
year = "2018",
doi = "10.1007/978-3-319-91244-8_15",
language = "English (US)",
isbn = "9783319912431",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "185--194",
editor = "Masaaki Kurosu",
booktitle = "Human-Computer Interaction. Theories, Methods, and Human Issues - 20th International Conference, HCI International 2018, Proceedings",
}