scholarly journals User Acceptance of Virtual Reality: An Extended Technology Acceptance Model

2020 ◽  
Vol 36 (11) ◽  
pp. 993-1007 ◽  
Author(s):  
Camille Sagnier ◽  
Emilie Loup-Escande ◽  
Domitile Lourdeaux ◽  
Indira Thouvenin ◽  
Gérard Valléry
2020 ◽  
Vol 4 (1) ◽  
pp. 11-22
Author(s):  
Deli Deli

Implementation of Augmented Reality for Earth Layer Structure on Android Based as A Learning Media isa research that aims to help in presenting material to Elementary School children. The research methodchosen in the completion of this study uses the 4D method (Define, Design, Develop and Disseminate) witha data collecting method using Technology Acceptance Model (TAM) built one construct with threedimensions of user assessment level of technology acceptance to support the basis of questionnaire design.AR design supported by 3D models, in order to be able to support the details of each explanation of thematerial contained, thus helping users to understand the material and ease of interaction on the media.The final result obtained in this research is that the application is stated to be able to help the school, it is used as a media display in the classroom so students do not need to imagine themselves, but simply byusing learning media is able to present the material to students.Keywords: Learning Media, 4D Method, User Acceptance Test, Augmented reality, Android.


Author(s):  
Vathiswa M. Booi ◽  
George E.M. Ditsa

There are growing concerns over the user friendliness and other usability issues of South African Universities’ Web Portal Interfaces (UWPIs), which obviously will negate the user acceptance of the UWPIs. The main goal of this study is to develop a framework that could be used to evaluate and provide additional guidelines to improve the Usability and User Acceptance of South African UWPIs. The study applies a triangulation of Ubiquitous computing Evaluation Areas (UEAs) and the Technology Acceptance Model (TAM) as theoretical foundations to derive the research model. Multiple regression and stepwise regression analyses are used. The results suggest that Interaction and Invisibility of UWPIs are the most important measures that have a huge impact on user acceptance and usability, respectively. The results of the study provide guidelines for the design and development of South Africa UWPIs to meet their usability and user acceptance.


Author(s):  
M. McCord

The Technology Acceptance Model (TAM) (Davis, 1989) measures perceived usefulness and perceived ease of use as predictors of a user’s intent to use computer technology, and their actual usage on the job. The measure first appeared in 1989, in an MIS Quarterly article by Fred Davis and in a coauthored article in Management Science(Davis, 1989; Davis, Bagozzi, & Warshaw, 1989). Extending the Theory of Reasoned Action (Ajzen & Fishbein, 1980) to technology, Perceived usefulness (U) is defined as “the degree to which a person believes a particular system would enhance his or her job performance.” Perceived ease of use (EOU) is defined as “the degree to which a person believes that using a particular system would be free of effort.” ‘Usage intentions’ (BI) was measured through self-predicted future usage and ‘user acceptance’ was measured through self-reported current usage. Although information technology is adopted to improve employee performance, these gains are often lost or diminished by users’ unwilling to accept and use the information system. Davis wanted to understand why users rejected or accepted information technologies, to better predict, explain and increase user acceptance. The TAM model has since become one of the most established models for predicting user acceptance.


Author(s):  
Jie Zhao ◽  
Jianfei Wang

The rapid development of short-video social network platforms provides us with an opportunity to conduct health-related advertising and recommendation. However, so far, there are no empirical evidence on whether users are willing to accept health-related short-video advertisements. Here, acceptance refers to purchase intention, meaning that users will read short-video ads, share ads with others, or even open the product link embedded in ads to purchase the product. In this paper, we make the first attempt to model and quantify user acceptance of health-related short-video advertisements. Particularly, we propose a new research model that enhances the Technology Acceptance Model (TAM) with two new designs. First, we propose four new antecedents including social interaction, intrusiveness, informativeness, and relevance into the original TAM to reflect the features of short-video social networks. Second, we introduce two mediator variables including perceived usefulness and attitude so that we can better study how different factors affect user acceptance of health-related short-video ads. We perform a survey on the Internet and conduct an empirical analysis of the surveyed data. The results show that the four antecedents as well as the perceived ease of use have significant influences on perceived usefulness, attitude, and purchase intention. Further, perceived usefulness plays a valid mediating role in attitude and purchase intention. We also found that users’ perceived ease of use on health-related short-video ads cannot significantly predict users’ attitudes toward ads. This is a new finding in social media-oriented ads. Finally, we integrate the empirical findings and present reasonable suggestions for advertisers and marketers to promote health-related short-video ads.


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