A Review of Empirical Studies on User Acceptance of Driver Assistance Systems

2015 ◽  
Vol 3 (3) ◽  
pp. 39-46
Author(s):  
Mohd Hafzi Md Isa ◽  
Baba Md Deros ◽  
Khairil Anwar Abu Kassim
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Policy Making ◽  
Empirical Studies ◽  
User Acceptance ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Behavioural Science ◽  
Assistance Systems ◽  
Acceptance Model

Objective - This paper presents a review of empirical research on technology acceptance with regards to driver assistance systems referred from 17 published studies. In addition to evaluating various behavioural science theories and models such as Technology Acceptance Model (TAM), other proposed variables that influence acceptance and usage of such technologies, potential limitations and gaps have also been analysed and evaluated. Methodology/Technique - Multiple electronic databases have been thoroughly searched for relevant empirical studies based on specified criteria and defined keywords. Findings - The results indicate that TAM indeed is a very useful model and mostly used; however, to better understand the user acceptance toward driver assistance systems, additional factors need to be included in order to complement the existing constructs in TAM. Novelty - it is essential to understand the concept of technology acceptance as it can assist in setting up priorities during the initial stages of product development and policy making Type of Paper - Conceptual Keywords: acceptance; driver assistance systems; car technology acceptance model; CTAM; technology acceptance model; TAM.

scholarly journals Implementation of Augmented Reality for Earth Layer Structure on Android Based as a Learning Media

2020 ◽  
Vol 4 (1) ◽  
pp. 11-22
Author(s):  
Deli Deli
Keyword(s):  
Augmented Reality ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Elementary School Children ◽  
Layer Structure ◽  
3D Models ◽  
User Acceptance ◽  
Acceptance Test ◽  
Acceptance Model ◽  
User Assessment

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.

Evaluation of South African Universities’ Web Portal Interfaces using a Triangulation of Ubiquitous Computing Evaluation Areas and Technology Acceptance Model

2014 ◽  
pp. 150-172 ◽  
Author(s):  
Vathiswa M. Booi ◽  
George E.M. Ditsa
Keyword(s):  
Ubiquitous Computing ◽  
Technology Acceptance ◽  
South African ◽  
Technology Acceptance Model ◽  
User Acceptance ◽  
Web Portal ◽  
User Friendliness ◽  
South African Universities ◽  
Huge Impact ◽  
Acceptance Model

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.

The Technology Acceptance Model

2008 ◽  
pp. 1088-1100 ◽  
Author(s):  
Qingxiong Ma ◽  
Liping Liu
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Meta Analysis ◽  
Statistical Significance ◽  
Empirical Studies ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Applied Model ◽  
Acceptance Model

The technology acceptance model proposes that perceived ease of use and perceived usefulness predict the acceptance of information technology. Since its inception, the model has been tested with various applications in tens of studies and has become the most widely applied model of user acceptance and usage. Nevertheless, the reported findings on the model are mixed in terms of statistical significance, direction, and magnitude. In this study, we conducted a meta-analysis based on 26 selected empirical studies in order to synthesize the empirical evidence. The results suggest that both the correlation between usefulness and acceptance, and that between usefulness and ease of use are somewhat strong. However, the relationship between ease of use and acceptance is weak, and its significance does not pass the fail-safe test.

Technology Acceptance Model

2007 ◽  
pp. 306-308
Author(s):  
M. McCord
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Information Technologies ◽  
Employee Performance ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Intent To Use ◽  
Acceptance Model

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.

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
Keyword(s):  
Virtual Reality ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
User Acceptance ◽  
Acceptance Model
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