title: A qualitative analysis of user experiences with a self-tracker for activity, sleep, and diet.
abstract: BACKGROUND
  The recent increase in chronic diseases and an aging population warrant the necessity of health self-management. As small electronic devices that track one's activity, sleep, and diet, called self-trackers, are being widely distributed, it is prudent to investigate the user experience and the effectiveness of these devices, and use the information toward engineering better devices that would result in increased efficiency and usability.
  
  
  OBJECTIVE
  The aim of this study was to abstract the constructs that constitute the user experiences of the self-tracker for activity, sleep, and diet. Additionally, we aimed to develop and verify the Health Information Technology Acceptance Model-II (HITAM-II) through a qualitative data analysis approach.
  
  
  METHODS
  The study group consisted of 18 female college students who participated in an in-depth interview after completing a 3-month study of utilizing a self-tracker designed to monitor activity, sleep, and diet. The steps followed in the analysis were: (1) extraction of constructs from theoretical frameworks, (2) extraction of constructs from interview data using a qualitative methodology, and (3) abstraction of constructs and modeling of the HITAM-II.
  
  
  RESULTS
  The constructs that constitute the HITAM-II are information technology factors, personal factors, social factors, attitude, behavioral intention, and behavior. These constructs are further divided into subconstructs to additionally support the HITAM-II.
  
  
  CONCLUSIONS
  The HITAM-II was found to successfully describe the health consumer's attitude, behavioral intention, and behavior from another perspective. The result serves as the basis for a unique understanding of the user experiences of HIT.
authors.affiliation: Seoul National University, Seoul, Korea, Republic Of. kim0424@snu.ac.kr.
authors.forename: Jeongeun
authors.initials: J
authors.lastname: Kim
keywords: health consumer; qualitative research; quantified-self; self-tracker