An evaluation model for analysing persuasive systems in mobile healthcare

Boontarig, Waransanang; Quirchmayr, Gerald; Chutimasakul, Wichian; Papasratorn, Borworn

doi:10.1109/cits.2014.6878976

Cited by 9 publications

(4 citation statements)

References 12 publications

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“…The genetic algorithm was proposed by the Americans in 1962 as a parallel random search optimization method that mimics the theory of genetic and biological evolution in nature. [31][32][33][34][35] Similar to the biological evolution principle of "survival of the fittest, survival of the fittest" in nature, the genetic algorithm is in the coding series group formed by the introduction of optimization parameters, according to the selected adaptation function and through the selection, cross and variation of the genetic screening of individuals, so that the adaptation value of the individual is retained, the adaptation of the poor individual severed, The new group inherits the information of the previous generation and is superior to the previous generation. This loops repeatedly until the condition is met.…”

Section: Design Of Data Processing Algorithmmentioning

confidence: 99%

Research and optimization of sports injury medical system under the background of Internet of things

2020

Trans Emerging Tel Tech

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With the popularization of Internet of things (IoT) knowledge and the wide dissemination of technology, IoT technology medical and health industry has brought far-reaching influence. This article studies the application of IoT technology in sports injury medical system, and expounds the application of telemedicine, mobile diagnosis, and user data management in medical system supported by IoT technology. First, the application layer, network layer, and perceptual layer structure of the IoT are used to plan the overall hierarchy of the sports injury medical system, and then the system is divided into three modules, which are the user physiological parameter acquisition module, the user physiological parameter processing module, and the motion damage diagnosis result module. Finally, the performance of the system is detected from packet loss rate and concurrency quantity, and it is concluded that the medical system of sports injury can meet the requirements of field diagnosis based on the background of IoT, and the user's satisfaction is found to be greatly improved by the results of user's investigation. 1 INTRODUCTION The so-called Internet of things (IoT) refers to a variety of information sensing equipment, such as RFID devices, infrared sensors, global positioning system, laser scanners, and other equipment implanted in a variety of items, and then the realization of intelligent items. 1-3 Combine these information sensing devices with the Internet to form a vast network of interconnection and information sharing between objects, computers and people. For medical units, the application of IoT technology will vigorously promote the development of hospital information, but also the trend of future development, in the continuous improvement of medical procedures, improve the quality of medical care, to ensure the safety of patients, the realization of telemedicine, special population health care, strengthen medical device management, drug security, and many other aspects will play an extremely important role. 4-6 At the end of 2008, Korea introduced the concept of "smart healthcare," 7,8 which envisages the introduction of IoT related technologies in the medical field, the interconnection, sharing, collaboration, and public health prevention of medical information, and believes that IoT technology will be more widely used in medical platforms, electronic health file systems, and other fields. The European Commission 8 launched an IoT strategy in the form of a policy article, proposing to give Europe a global lead in the development of intelligent Internet-based infrastructure, and to invest billion euros through R&D programs to launch a number of related R&D projects, in addition to improving the level of network intelligence, more billion euros a year over the years to further strengthen R&D efforts, while allocating billion euros to the construction of IoT related short-term projects, including medical related projects. In addition, different scholars have also

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Section: Design Of Data Processing Algorithmmentioning

confidence: 99%

Research and optimization of sports injury medical system under the background of Internet of things

2020

Trans Emerging Tel Tech

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“…Providing health care services via an IT solution such as mobile systems would be advantageous in many aspects including accessing health medical records at any given time and keeping record of health care big data (Boontarig, Quirchmayr, Chutimasakul, & Papasratorn, 2014). These will enable patients and health care providers to have access to health information in real time, thereby enabling making improved decisions.…”

Section: Literature Reviewmentioning

confidence: 99%

The use of mobile systems to access health care big data in the Namibian environment

Shaanika

Iyamu

2019

E J Info Sys Dev Countries

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As the need for health care services increases, some health facilities in many developing countries such as Namibia are challenged with accessing its big data. Despite the success of mobile systems, its use to access health care big data is challenging, which have impact on manageability and improvement of service delivery. The main problem is that the factors that influence interaction between mobile systems and health care big data are not empirically known within the Namibian context. The Namibian Ministry of Health (MoH) was therefore used as a case in this study. Qualitative methods and an interpretivist approach were employed, and structuration theory was used to underpin the study, which means the theory guided the analysis of the data. From the analysis, five factors were found to influence interaction in the use of mobile systems to access health care big data. On the basis of these factors, a model is proposed, which is a contribution to improving health care service delivery in the country through its practical implications: guiding interactions among health care stakeholders and developing policy for accessing patients' big data.

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“…A more strategic approach is desirable, concerning planning, development and the evaluation, to increase the impact of mobile health systems especially for elderly. This would increase the success rate of the technology [8]. Persuasive Technology was defined as technology that attempts to change people's attitude or behaviour or both without coercion [9].…”

Section: A Background Workmentioning

confidence: 99%

“…For this group of users, who are currently dealing with increasing physical impairments due to aging, the application may need to tailor the content based on their physical limitations and suggest relevant physical activities that were feasible for them to perform [12]. Fogg [8] suggests a three-function triad to design computers as persuasive technology. Additionally, when information sources must be very accurate, credibility should be a key determining.…”

Section: A Background Workmentioning

confidence: 99%

Mobile Application on Healthy Diet for Elderly based on Persuasive Design

Salim

Ali

Noah³

2017

International Journal on Advanced Science, Engineering and Information Technology

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Diet was known for many years to play a key role as a risk factor for chronic diseases especially for elderly. The capability to interact effectively on health information application among elderly is becoming essential. Mobile technology can monitor diet and lifestyle of the elderly. We developed Nutrihealth application that comprises information on Body Mass Index (BMI), suggested menus, and calories intake. Persuasive techniques were implemented in the design of Nutrihealth mobile apps, to increase user engagement and behaviour change in healthy diet. The work starts with an initial study to select suitable persuasive techniques for elderly. The aim of this work is to evaluate the mobile application that implements a persuasive design. A technology acceptance model named Unified Theory of Acceptance and Use of Technology (UTAUT) has been used in the evaluation phase. Nine (9) elderly participants take part in the in-depth usage study in which they were asked to use the mobile apps for 3-days. The findings show majority of participants (90%) gave positive opinion on the design of the persuasive mobile apps. There is also an improvement in their calories intake during the 3-days study.

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An evaluation model for analysing persuasive systems in mobile healthcare

Cited by 9 publications

References 12 publications

Research and optimization of sports injury medical system under the background of Internet of things

Research and optimization of sports injury medical system under the background of Internet of things

The use of mobile systems to access health care big data in the Namibian environment

Mobile Application on Healthy Diet for Elderly based on Persuasive Design

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