Acceptability of an A2R Application: Analysis of Correlations between Factors in a TAM

Abstract:

Adaptive Augmented Reality (A2R) presents the environment and useful information for the user decision making, this is in real time. Nowadays, there is a gap in A2R acceptance research, although A2R is an emergent technology, specific studies of A2R acceptance has not been conducted yet. In contrast, Augmented Reality (AR) acceptance and recommendation acceptance has actually been addressed in several works. Thus, to analyze A2R acceptance, an A2R prototype was developed relying on hybrid and mobile technology. This application guides visitants to locate remarkable places at the historic center of Quito. The guide proposes places according to the user's preferences or interests gathered from a social network. Based on this prototype, an experiment with a sample of young people between 18 and 25 years old was carried out in order to determine the acceptance of A2R technology. An adaptation of Davis, Leues and Vecandesh's Technology acceptance models was applied. This study analyzed the correlations among different variables such as perceived adaptability, perceived enjoyment, perceived easy of use, perceived usefulness and attitude towards using. The results show that the perceived adaptability, perceived ease of use, perceived usefulness and perceived enjoyment are crucial in the success of A2R application.

Año de publicación:

2016

Keywords:

• H [Human-centered computing H.1 HCI design and evaluation methods H.2 Interaction paradigmsUser studies Computing methodologies Mixed/augmented reality]: -

Fuente:

scopus

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