Abstract

In the 21st century, health care systems worldwide are facing many challenges as a result of the growing concern of diseases in humans, such as intestine, breathing, paralysis, nutritional value, and urogenital disorders. The use of the mobile technology in the field of healthcare system not only reduces the cost but also facilitates quality of the long-term health care, intelligent automation and rationalization of patient health monitoring wherever needed. While regular monitoring of the readings of the vital signs is critical, it is often overlooked because of the busy life schedule. There is a number of apps for health monitoring systems, but users are generally not satisfied with these applications because of the lack of custom graphical visualization of parameters representations like daily, weekly or yearly graphs, and the relationship between the vital signs. In this research study, we identify a principal issue in the health monitoring application, which is the custom graphical visualization of parameters representations of the health monitoring application. To solve the identified problems in this research study, we focus on the design and implementation of custom graphical visualization of parameters for health monitoring applications. The model emphasizes on the monitor, save and retrieve logs. System usability scale has been modified and evaluated for usability, learnability, and customization of the graph. In this research study, we took N=20 in observation for collecting the readings of Heart Rate, Skin Temperature, Respiration, and Glucose Rate. A total number of responses collected were R=60 from the age group of 24 to 40 years. Comparisons were made between three different Android based health monitoring applications, i.e., S-Health, Health Monitoring and the developed applications. The usability and learnability responses for the developed application as compared to other two applications are significantly high. The overall System Usability Score for the developed application was significantly high.

Highlights

  • In the past few years, significant research has been done in the field of Human Computer Interaction (HCI), such as improvement in the usability, efficiency, and learnability of the systems

  • The motivation behind this study is to provide custom graphical representation of parameters of health monitoring application

  • The application mainly focus on providing the user with the option of adding various variables and health parameters constraints (Heart Rate, Skin temperature, Glucose Meter readings and Respiration rate)

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Summary

Introduction

In the past few years, significant research has been done in the field of Human Computer Interaction (HCI), such as improvement in the usability, efficiency, and learnability of the systems. Klasnja et al [1] focus on how behaviors can be changed and monitored in human-computer interaction (HCI) technology. HCI intervention strategy focused on the effectiveness of the measuring (e.g., self-monitoring, conditioning) systems that help in studying the experiences of people with a better understanding of technology. In the last several years, HCI used to support health behavior change is an explosion of HCI research technology. Fragopoulos et al [2] researcher said that with growing ratio of the patients in these days, the cost of the health facilities is massively increasing which causes the patient frustration and anxiety and their common issues become more chronic to deal with the disease. Observing the health complaint of human being in the home and outside the home has been largely mentioned to hold this task

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