scholarly journals Enhancing System Acceptance through User-Centred Design: Integrating Patient Generated Wellness Data

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 45
Author(s):  
Sarita Pais ◽  
Krassie Petrova ◽  
Dave Parry

Gestational diabetes mellitus (GDM) is a condition that appears during pregnancy and is expected to be a temporary one. While patients are encouraged to manage it themselves, research findings indicate that GDM may negatively affect the foetus; in addition, there is an increased risk of women with GDM subsequently developing Type 2 diabetes. To alleviate the risks, women with GDM are advised to maintain a record of their diet and blood glucose levels and to attend regular clinical reviews. Rather than using a paper diary, women with GDM can maintain a record of their blood glucose level readings and other relevant data using a wellness mobile application (app). However, such apps are developed for general use and may not meet the specific needs of clinical staff (physicians, dietitians, obstetricians and midwives) involved in managing GDM; for example, an app may record glucose readings but not the details of a meal taken before or after the glucose reading. Second, the apps do not permanently store the data generated by the patient and do not support the transfer of these data to a clinical system or information portal. The mobile health (mHealth) system designed and developed in this research allows one to integrate different types of user generated wellness data into a centralised database. A user-centered design (UCD) approach informed by the technology acceptance model (TAM) was adopted. This paper investigates and evaluates the effectiveness of the approach with regard to facilitating system acceptance and future adoption through an early focus on enhancing system usefulness and ease of use. The functional system requirements of the proposed system were refined through a series of interviews with the perspective of clinical users; ease-of-use and usability issues were resolved through ‘think aloud’ sessions with clinicians and GDM patients.

2021 ◽  
Vol 1 (1) ◽  
pp. 56-62
Author(s):  
M. Wahidin ◽  
Jajang Jajang ◽  
Anggi Elanda ◽  
Charlie Khowirantio

This study discusses the analysis of the SAP acceptance rate at PT Pindodeli using the TAM approach. The purpose of this study was to determine the acceptance of the SAP system for Pindodeli employees and to determine the factors that affect the acceptance of the SAP system for PT Pindodeli employees. The method used in this research is the Technology Acceptance Model (TAM). The population in this study were 130 employees of PT Pindodeli from 6 Units / Sections, namely Finished Goods, IT, Financing, Logistics, Customer Service, and Purchasing. The sampling technique used by researchers is probability sampling and uses a descriptive approach. The total respondents who got were 61 out of 130 employees. Calculation of data carried out in this study is smart PLS. Hypothesis testing in this study was conducted to test the effect of system service usability and ease of use. The research results prove that usability has a positive and significant effect on SAP system acceptance and ease of use has a positive and significant effect on SAP system acceptance.


2014 ◽  
Vol 12 (10) ◽  
pp. 3962-3966
Author(s):  
Mohamed Fathi Alaweti ◽  
Nurdiana A Azizan ◽  
Qaise F Faryadi

This paper is research aim to extension of the technology acceptance model (TAM)to web E-procurement system. Focusing on suppliers and the E-procurement system impact on their organization performance, this paper has thus examined the factor that is connected with E-procurement system acceptance at suppliers organizations. A qualitative Data collected from 9 corporate suppliers from over 12 organizations helped with the Validation of the factors comprising perceived usefulness, perceived ease of use, suppliers involvement, reliability, security, vendor support and service provider support are identified and their underlying relationships are discussed in the light of the existing literature. Finally Intermediary results from a cluster analysis show differences among respondents that improve our understanding web-based procurement practice.


Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 402-409
Author(s):  
Deepak Shrivastava ◽  
Apurva Shrivastava ◽  
Gyan Prakash

Tech-friendliness in this new era is an important quotient considered and the persons’ acceptance towards the technology frequency matters a lot. But still the frequency varies from person to person, this brought in the concept of Technology Acceptance Model given by Fred Davis in 1989. The theory of TAM is based on two theories that are Theory of Reasoned Action and Theory of Planned Behavior, TAM is extended version of these two. Green Banking is a new technology introduced by the banks that focuses on the growth of Sustainable development and Banking system too. Thus, banks ask their customers to use it or practice it in their daily life transactions. But every customer has their own point of view on the usage of Green banking. Thus, the research aims to understand the customers’ perception towards the Green Banking for this TAM is used. The research states that Perceived risk is the primary factor that is followed by perceived usefulness and perceived ease of use that impacts the decision to use green banking. Thus, the behavioral intention results in actual use of green banking usage for which people are trying to accept the new technology. So, the banks have earned points for creating awareness among their customers but still they have to work hard and clarify their customers’ problems and vanish that hitch that is stopping them to use green banking easily.


2019 ◽  
Vol 24 (1) ◽  
pp. 100-113
Author(s):  
Filona ◽  
Misdiyono

With the rapid growth of information technology, electronic money has played an important and central role in the e-payment. Development of electronic money is able to create a trend less-cash society, which is a society’s behavior using non- cash transactions by utilizing the simplicity offered through electronic transactions. The purpose of this research is to determine the factors affecting the intention to use electronic money. We designed a questionnaire and used it to survey a simple random sampling of people who use of e-money in DKI Jakarta. The actual samples used for the study are 125 respondents. We analyzed the data using Structured Equation Modeling to evaluate the strength of the hypothesized effects. The result of the analysis showed that perceived ease of use has no significant effect on attitudes towards the use of e-money. Perceived ease of use has a significant effect on the perceived usefulness of e-money. Perceived usefulness has no significant effect on the intention to use e-money. Perceived usefulness has a significant effect on attitudes towards the use of e-money. Attitude has a significant effect on the intention to use e-money. Subjective norm has a significant effect on the intention to use e-money. Perceived behavioral control has no significant effect on the intention to use e-money. Keywords: electronic money, technology acceptance model, the theory of planned behavior.


Author(s):  
M. R. K. N. Yatigammana ◽  
Md. Gapar Md. Johar ◽  
Chandra Gunawardhana

E-learning is a method of delivering knowledge using information technology and electronic media for the remote users. The advantages of e-learning method can be fully achieved with the postgraduate studies as majority of the postgraduate students are engaged in learning while they are working and also geographically dispersed due to the family and work life thus physically appearing for the lecture sessions are difficult to them. This paper attempts to develop a framework to measure the postgraduate students’ perceived technology acceptance by developing a modified version of the Technology Acceptance Model (TAM) which replaces perceived usefulness and perceived ease of use in the original model of TAM with relative advantage and complexity and incorporate other variables of trialability, observability, compatibility, psychological wellbeing and social influence of the students. The developed model is validated using 30 postgraduate students from Sri Lanka and thus this model can be used in future researchers to measure the perceived e-learning acceptance of postgraduate students.


2021 ◽  
Vol 11 (10) ◽  
pp. 4672
Author(s):  
Ivonne Angelica Castiblanco Jimenez ◽  
Laura Cristina Cepeda García ◽  
Federica Marcolin ◽  
Maria Grazia Violante ◽  
Enrico Vezzetti

Supporting education and training initiatives has been identified as an effective way to address Sustainable Development Challenges. In this sense, e-learning stands out as one of the most viable alternatives considering its advantages in terms of resources, time management, and geographical location. Understanding the reasons that move users to adopt these technologies is critical for achieving the desired social objectives. The Technology Acceptance Model (TAM) provides valuable guidelines to identify the variables shaping users’ acceptance of innovations. The present study aims to validate a TAM extension designed for FARMER 4.0, an e-learning application in the agricultural sector. Findings suggest that content quality (CQ) is the primary determinant of farmers’ and agricultural entrepreneurs’ perception of the tool’s usefulness (PU). Furthermore, experience (EXP) and self-efficacy (SE) shape potential users’ perceptions about ease of use (PEOU). This study offers helpful insight into the design and development of e-learning applications in the farming sector and provides empirical evidence of TAM’s validity to assess technology acceptance.


2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Aksheya Sridhar ◽  
Amy Drahota ◽  
Kiersten Walsworth

Abstract Background Evidence-based practices (EBPs) have been shown to improve behavioral and mental health outcomes for children diagnosed with autism spectrum disorder (ASD). Research suggests that the use of these practices in community-based organizations is varied; however, the utilization of implementation guides may bridge the gap between research and practice. The Autism Community Toolkit: Systems to Measure and Adopt Research-Based Treatments (ACT SMART) Implementation Toolkit is a web-based implementation toolkit developed to guide organization-based implementation teams through EBP identification, adoption, implementation, and sustainment in ASD community-based organizations. Methods This study examined the facilitators and barriers (collectively termed “determinants”) to the utilization of this toolkit, based on the perspectives of implementation teams at six ASD community-based organizations. Two independent coders utilized the adapted EPIS framework and the Technology Acceptance Model 3 to guide qualitative thematic analyses of semi-structured interviews with implementation teams. Results Salient facilitators (e.g., facilitation teams, facilitation meetings, phase-specific activities) and barriers (e.g., website issues, perceived lack of ease of use of the website, perceived lack of resources, inner context factors) were identified, highlighting key determinants to the utilization of this toolkit. Additionally, frequent determinants and determinants that differed across adapted EPIS phases of the toolkit were noted. Finally, analyses highlighted two themes: (a) Inner Context Determinants to use of the toolkit (e.g., funding) and (b) Innovation Determinants (e.g., all website-related factors), indicating an interaction between the two models utilized to guide study analyses. Conclusions Findings highlighted several factors that facilitated the utilization of this implementation guide. Additionally, findings identified key areas for improvement for future iterations of the ACT SMART Implementation Toolkit. Importantly, these results may inform the development, refinement, and utilization of implementation guides with the aim of increasing the uptake of EBPs in community-based organizations providing services to children with ASD and their families. Finally, these findings contribute to the implementation science literature by illustrating the joint use of the EPIS framework and Technology Acceptance Model 3 to evaluate the implementation of a web-based toolkit within community-based organizations.


Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1692
Author(s):  
Letícia Garcia da Silva ◽  
Eduardo Gonçalves de Azevedo Neto ◽  
Rosemary Francisco ◽  
Jorge Luis Victória Barbosa ◽  
Luis Augusto Silva ◽  
...  

Language learners often face communication problems when they need to express themselves and do not have the ability to do so. On the other hand, continuous advances in technology are creating new opportunities to improve second language (L2) acquisition through context-aware ubiquitous learning (CAUL) technology. Since vocabulary is the foundation of all language acquisition, this article presents ULearnEnglish, an open-source system to allow ubiquitous English learning focused on incidental vocabulary acquisition. To evaluate our proposal, 15 learners used the developed system, and 10 answered a survey based on the Technology Acceptance Model (TAM). Results indicate a favorable response to the application of incidental learning techniques in combination with the learner context. ULearnEnglish achieved an acceptance rate of 78.66% for the perception of utility, 96% for the perception of ease of use, 86.5% for user context assessment, and 88% for ubiquity. Among its main contributions, this study demonstrates a possible tool for ubiquitous use in the future in language learning; additionally, further studies can use the available resources to develop the system.


2021 ◽  
Vol 13 (10) ◽  
pp. 5471
Author(s):  
Chuan-Yu Mo ◽  
Te-Hsin Hsieh ◽  
Chien-Liang Lin ◽  
Yuan Qin Jin ◽  
Yu-Sheng Su

In order to enable online learning to continue developing when the COVID-19 pandemic passes, this study aimed to identify the critical factors that affected the use of e-learning by university students during the pandemic. These critical factors will help to increase the efficiency of future development and deployment of online learning systems. Through a literature review, this study employed the technology acceptance model, social support, and task–technology fit as the theoretical basis to establish the framework of the online learning environment with regards to the technology acceptance model in the context of emergency management. A questionnaire survey was administered to students in universities that had implemented online teaching during the pandemic, and 552 valid responses were collected. The survey explored the factors affecting the willingness of higher education institution students to continue using online learning, and the following conclusions were drawn. (1) The easier an online learning platform was to navigate, the better it was perceived by the students, and thus the students were more willing to use it. (2) Ease of use and usefulness were associated with the teachers’ choice of platform and their ability to achieve a satisfactory fit between the course design and platform navigation, which thereby affected the students’ learning outcomes and attitude towards use. (3) The positive attitude of teachers towards teaching increased the students’ perceived ease of use of online learning. (4) During the pandemic, family support—a major support for teachers in online teaching—enhanced teachers’ attitudes towards, and willingness to provide, online teaching. A high level of support showed that the parents urged the students to learn and complete online learning tasks as instructed by the teachers, implying that family support could affect the students’ habits towards, adaptation to, and identification of online learning. The study results provide insights into the factors affecting the willingness of teachers and students to continue using e-learning platforms.


Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1631
Author(s):  
Bruno Guilherme Martini ◽  
Gilson Augusto Helfer ◽  
Jorge Luis Victória Barbosa ◽  
Regina Célia Espinosa Modolo ◽  
Marcio Rosa da Silva ◽  
...  

The application of ubiquitous computing has increased in recent years, especially due to the development of technologies such as mobile computing, more accurate sensors, and specific protocols for the Internet of Things (IoT). One of the trends in this area of research is the use of context awareness. In agriculture, the context involves the environment, for example, the conditions found inside a greenhouse. Recently, a series of studies have proposed the use of sensors to monitor production and/or the use of cameras to obtain information about cultivation, providing data, reminders, and alerts to farmers. This article proposes a computational model for indoor agriculture called IndoorPlant. The model uses the analysis of context histories to provide intelligent generic services, such as predicting productivity, indicating problems that cultivation may suffer, and giving suggestions for improvements in greenhouse parameters. IndoorPlant was tested in three scenarios of the daily life of farmers with hydroponic production data that were obtained during seven months of cultivation of radicchio, lettuce, and arugula. Finally, the article presents the results obtained through intelligent services that use context histories. The scenarios used services to recommend improvements in cultivation, profiles and, finally, prediction of the cultivation time of radicchio, lettuce, and arugula using the partial least squares (PLS) regression technique. The prediction results were relevant since the following values were obtained: 0.96 (R2, coefficient of determination), 1.06 (RMSEC, square root of the mean square error of calibration), and 1.94 (RMSECV, square root of the mean square error of cross validation) for radicchio; 0.95 (R2), 1.37 (RMSEC), and 3.31 (RMSECV) for lettuce; 0.93 (R2), 1.10 (RMSEC), and 1.89 (RMSECV) for arugula. Eight farmers with different functions on the farm filled out a survey based on the technology acceptance model (TAM). The results showed 92% acceptance regarding utility and 98% acceptance for ease of use.


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