Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


Dipesh_kadariya_masters_thesis_2019.pdf (7.85 MB)

ETD Abstract Container

Abstract Header

kBot: Knowledge-Enabled Personalized Chatbot for Self-Management of Asthma in Pediatric Population

Kadariya, Dipesh
http://orcid.org/0000-0001-7666-8056
http://rave.ohiolink.edu/etdc/view?acc_num=wright1565944979193573

Abstract Details

2019, Master of Science (MS), Wright State University, Computer Science.
Asthma, chronic pulmonary disease, is one of the major health issues in the United States. Given its chronic nature, the demand for continuous monitoring of patient’s adherence to the medication care plan, assessment of their environment triggers, and management of asthma control level can be challenging in traditional clinical settings and taxing on clinical professionals. A shift from a reactive to a proactive asthma care can improve health outcomes and reduce expenses. On the technology spectrum, smart conversational systems and Internet-of-Things (IoTs) are rapidly gaining popularity in the healthcare industry. By leveraging such technological prevalence, it is feasible to design a system that is capable of monitoring asthmatic patients for a prolonged period and empowering them to manage their health better. In this thesis, we describe kBot, a knowledge-driven personalized chatbot system designed to continuously track medication adherence of pediatric asthmatic patients (age 8 to 15) and monitor relevant health and environmental data. The outcome is to help asthma patients self manage their asthma progression by generating trigger alerts and educate them with various self-management strategies. kBOT takes the form of an Android application with a frontend chat interface capable of conversing both text and voice-based conversations and a backend cloud-based server application that handles data collection, processing, and dialogue management. The domain knowledge component is pieced together from the Asthma and Allergy Foundation of America, Mayoclinic, and Verywell Health as well as our clinical collaborator. Whereas, the personalization aspect is derived from the patient’s history of asthma collected from the questionnaires and day-to-day conversations. The system has been evaluated by eight asthma clinicians and eight computer science researchers for chatbot quality, technology acceptance, and system usability. kBOT achieved an overall technology acceptance score of greater than 8 on an 11-point Likert scale and a mean System Usability Score (SUS) greater than 80 from both evaluation groups.
Amit Sheth, Ph.D. (Advisor)
Krishnaprasad Thirunarayan, Ph.D. (Committee Member)
Valerie Shalin, Ph.D. (Committee Member)
Maninder Kalra, M.D., Ph.D. (Committee Member)
58 p.
Computer Science; Health Care Management; Information Technology
Virtual Assistant; Conversational Agent; Chatbot for Healthcare; Patient Generated Health Data; IoT for Personalized Health; Pediatric Asthma Management; Self Management; Personalized chatbot

Recommended Citations

Citations

  • Kadariya, D. (2019). kBot: Knowledge-Enabled Personalized Chatbot for Self-Management of Asthma in Pediatric Population [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1565944979193573

    APA Style (7th edition)

  • Kadariya, Dipesh. kBot: Knowledge-Enabled Personalized Chatbot for Self-Management of Asthma in Pediatric Population. 2019. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1565944979193573.

    MLA Style (8th edition)

  • Kadariya, Dipesh. "kBot: Knowledge-Enabled Personalized Chatbot for Self-Management of Asthma in Pediatric Population." Master's thesis, Wright State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1565944979193573

    Chicago Manual of Style (17th edition)

wright1565944979193573
732
© 2019, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.