Public Adoption and Trust in the Covid-19 Contact Tracing App in the UK: A survey (Preprint)

2021 ◽  
Author(s):  
Liz Dowthwaite ◽  
Joel Fischer ◽  
Elvira Perez Vallejos ◽  
Virginia Portillo ◽  
Elena Nichele ◽  
...  
Keyword(s):  
Older Adults ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Online Survey ◽  
Contact Tracing ◽  
Barriers To Adoption ◽  
Acceptance Model ◽  
The Uk ◽  
Deployed Systems ◽  
Minority Ethnic

BACKGROUND Digital contact tracing is employed to monitor and manage the spread of Covid-19. However, to be effective the system must be adopted by a substantial proportion of the population. Studies of (mostly hypothetical) contact tracing apps show generally high acceptance, but little is known about the drivers and barriers to adoption of deployed systems. OBJECTIVE The aim of this study is to investigate adoption and attitudes towards the NHS Covid-19 smartphone app, the digital contact tracing solution in the UK. METHODS An online survey based on the technology acceptance model (TAM2) with the added factor of trust was carried out with a representative sample of the UK population. Statistical analysis shows adoption rates, attitudes towards and trust in the app, compliance with self-isolation advice, and highlights differences for vulnerable populations (older adults and members of black, Asian, and minority ethnic (BAME) communities). RESULTS Around half of the 1001 respondents had downloaded and kept the app, but more than a third either did not intend to download it or had deleted it. Significantly more BAME respondents had deleted the app, and significantly more older adults did not intend to download it. Reasons for uptake were broadly to help the NHS and other people, especially among older adults, although significantly fewer BAME agreed that they did so to help the NHS. Reported compliance with received notifications to self-isolate was high, but significantly lower than reported intended compliance without received notifications. Of those who had ever used the app, only a fifth understood that the decision to send self-isolation notification is automated by the app. There were a range of significantly more negative views among BAME participants, including lower trust in the NHS, whilst older adults were often significantly more positive. Respondents without the app reported significantly lower trust and more negative views towards the app and were less likely to report they understood how the app works. CONCLUSIONS Whilst compliance of the ~50% who have the app is fairly high, there are issues surrounding trust and understanding that hinder adoption and therefore the effectiveness of digital contact tracing, particularly amongst BAME communities. The study highlights that more needs to be done to improve adoption among groups who are more vulnerable to the effects of the virus to enhance uptake and acceptance of contact tracing apps.

scholarly journals Developing a Healthcare Technology Acceptance Model (H-TAM) for Older Adults with Hypertension

2021 ◽  
pp. 1-21
Author(s):  
Maurita T. Harris ◽  
Wendy A. Rogers
Keyword(s):  
Older Adults ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Self Management ◽  
Healthcare Technology ◽  
Perceived Need ◽  
Healthcare Technologies ◽  
Acceptance Model

Abstract Older adults with a chronic health condition (e.g. hypertension) use various self-management methods. Healthcare technologies have the potential to support health self-management. However, it is necessary to understand the acceptance of these technologies as a precursor to older adults’ adoption and integration into their health plan. Our focus was on the factors older adults with hypertension initially consider when introduced to three new healthcare technologies that might support their health self-management. We compared their considerations for a blood pressure monitor, an electronic pillbox and a multifunction robot to simulate incrementally more complex technologies. Twenty-three participants (aged 65–84) completed four questionnaires and a semi-structured interview. The interview transcripts were analysed using a thematic analysis approach. We identified the factors that were frequently mentioned among the participants for each of the three healthcare technologies. The factors that older adults initially considered were familiarity, perceived benefits, perceived ease of use, perceived need for oneself, relative advantage, complexity and perceived need for others. Upon further reflection, participants considered advice acceptance, compatibility, convenience, facilitating conditions, perceived usefulness, privacy, subjective norm, and trust. We integrated the factors that older adults considered into the Healthcare Technology Acceptance Model (H-TAM), which elucidates the complexity of healthcare technology acceptance and provides guidance for future explorations.

Assessment of A Mobile Educational Coaching App

2018 ◽  
Vol 14 (1) ◽  
pp. 22-43
Author(s):  
Niousha Shahidi ◽  
Vesselina Tossan ◽  
Silvia Cacho-Elizondo
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Online Survey ◽  
Causal Structure ◽  
Convenience Sample ◽  
Equation Modelling ◽  
Educational Coaching ◽  
Acceptance Model ◽  
Type Of School

This article explores which antecedents explain intentions to adopt a mobile coaching app. To that end, this study describes a coaching service designed to guide/encourage students throughout their studies in order to validate a new model of planned behavior based on the Technology Acceptance Model and the Goal-Directed Behavioral theory. The methodology included a short qualitative study and an online survey to examine the theoretical model which is based on scales tested in previous studies. The convenience sample is composed of students (Bachelor and Master/MBA) with the results analyzed using structural equation modelling to test the proposed model's causal structure. The results show different adoption patterns by gender and type of school.

The Acceptance Behavior of New Media Entertainment Among Older Adults: Living Arrangement as a Mediator

2019 ◽  
Vol 91 (3) ◽  
pp. 274-298
Author(s):  
Dawei Liu ◽  
Anqi Liu ◽  
Wanying Tu
Keyword(s):  
Older Adults ◽  
New Media ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Living Arrangement ◽  
Value Orientations ◽  
Perceived Usefulness ◽  
Factors Affecting ◽  
Business Practitioners ◽  
Acceptance Model

New media entertainment is currently being spotlighted by business practitioners and researchers. This article highlighted this issue of elder online users and explored the factors affecting their acceptance decisions in new media entertainment. Older adults prefer to status and value orientations, so their online acceptance of new media entertainment is significantly influenced by the perceived usefulness and social benefits. In addition, types of living arrangement significantly affect technology acceptance model of older adults.

scholarly journals Blockchain Technology Adoption in Smart Learning Environments

2021 ◽  
Vol 13 (4) ◽  
pp. 1801 ◽  
Author(s):  
Nazir Ullah ◽  
Waleed Mugahed Al-Rahmi ◽  
Ahmed Ibrahim Alzahrani ◽  
Osama Alfarraj ◽  
Fahad Mohammed Alblehai
Keyword(s):  
Technology Acceptance ◽  
Learning Environments ◽  
Technology Acceptance Model ◽  
Online Survey ◽  
Equation Modeling ◽  
Smart Learning Environment ◽  
Smart Learning ◽  
Smart Learning Environments ◽  
Blockchain Technology ◽  
Acceptance Model

The conventional education system in developing countries has been enhanced recently by implementing the latest technology of distributed ledger. Disruptive technology is a fundamental requirement for greater accountability and visibility. We explored the key factors affecting the intentions of educational institutions to use blockchain technology for e-learning. This study proposed an expanded model of Technology Acceptance Model by integrating the diffusion of innovation theory. Based on an online survey, the conceptual model was tested and validated using structural equation modeling. The results showed that compatibility had a significant impact on blockchain use in smart learning environments. Other significant effects were also found on adoption of blockchain technology. This study offers an expanded Technology Acceptance Model for implementing blockchain that could assist decision makers in building a smart learning environment for the educational institutes for the emerging economies.

scholarly journals What Is the Current Development Status of Wearable Device in Industrial 4.0? Using Technology Acceptance Model to Explore the Willingness and Pattern of Usage of the Consumers

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Cheng Liu ◽  
Chin-Shyang Shyu ◽  
Tsung-Yu Chou ◽  
Chao-Chien Chen ◽  
Chien-Hung Wu
Keyword(s):  
Social Support ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Online Survey ◽  
Perceived Usefulness ◽  
Wearable Device ◽  
Background Information ◽  
Perceived Utility ◽  
Acceptance Model ◽  
Positive Effect

The object of the study is to use the technology acceptance model to explore the willingness and pattern of usage of the consumers. 205 valid questionnaires were collected by using the Google online survey platform. Using IBM SPSS and AMOS Statistics 20.0 software, first background information was analyzed, then CFA was used to analyze the relationship between variables, and SEM was used to verify the rationality of the measurement model. The result discovered that there is a positive effect on perceived usefulness by perceived utility of usage by the users. There is a positive effect on usage intention by perceived utility. There is a positive effect on perceived curiosity by perceived utility. There is a positive effect on usage intention by perceived usefulness, and there is a positive effect on usage willingness by social support for the wearable device users. However, there is no positive effect on usage willingness by perceived curiosity. Conclusion. If the industry can provide consumers with a good experience, it will help enhance consumer attitudes, increase consumer willingness, and continue to enhance consumer curiosity. Simply satisfying consumers' curiosity cannot increase consumer willingness, but social support will affect consumers' willingness to use.

scholarly journals Internet-Based Medical Service Use and Eudaimonic Well-Being of Urban Older Adults: A Peer Support and Technology Acceptance Model

2021 ◽  
Vol 18 (22) ◽  
pp. 12062
Author(s):  
Wenjia Li ◽  
Shengwei Shen ◽  
Jidong Yang ◽  
Qinghe Tang
Keyword(s):  
Older Adults ◽  
Technology Acceptance ◽  
Peer Support ◽  
Technology Acceptance Model ◽  
Well Being ◽  
Perceived Usefulness ◽  
Internet Technology ◽  
Internet Services ◽  
Acceptance Model ◽  
The Impact

Currently, internet services are developing rapidly, and the relationship between specific types of internet services and the well-being of older adults is still unclear. This study took a total of 353 urban older adults aged 60 years and above as research objects to explore the impact of the use behavior toward internet-based medical services (IBMS) on their well-being through an online questionnaire. This study integrated well-being theory and peer support theory, constructed an extended structural equation model of technology acceptance based on the technology acceptance model (TAM), and analyzed the variable path relationship. The results confirm the proposed model: older adults improved their eudaimonic well-being through using IBMS; perceived usefulness significantly affected the older adults’ attitudes towards IBMS; perceived ease of use significantly affected the use of IBMS through mediation; peer support significantly affected older adults’ attitudes, willingness, actual use, and well-being in the process. This study proposes that facilitating IBMS use for older adults in the development and design of internet technology programs should be considered in order to provide them with benefits. Moreover, paying attention to peer support among older adults plays an important role in the acceptance of new technologies and improving their well-being. The “peer support” of this study expanded and contributed to the research on the impact on older adults’ well-being and the construction of a technology acceptance model. The peer support in this study extended the influence factor of eudaimonic well-being and contributed to the further development of the TAM.

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