Applying the technology acceptance model to VR with people who are favorable of its use
M. Bertrand, and S. Bouchard. Journal of CyberTherapy & Rehabilitation, 1 (2):
200-210(2008)
Abstract
This study aims to test how the Technology Acceptance Model (TAM; Davis, 1989, 1993; Venkatesh, 2000)
applies to the use of virtual reality in clinical settings. The sample is composed of 141 adults interested in using
this technology. We adapted the standard items used to test the TAM and added a perceived cost factor as
it was expected to play a role on Intention of Use. Structural equation modeling was used and, after removing
several parameters, an adequate fit to the data was found. The final model revealed that Intention to Use
VR is predicted only by Perceived Usefulness. These results pinpoint what should be better documented in
order to foster the dissemination of virtual reality among clinicians.
%0 Journal Article
%1 Bertrand2008
%A Bertrand, Manon
%A Bouchard, Stéphane
%D 2008
%J Journal of CyberTherapy & Rehabilitation
%K TAM VR acceptanceApplication acceptanceModel earlyAdopters technology
%N 2
%P 200-210
%T Applying the technology acceptance model to VR with people who are favorable of its use
%V 1
%X This study aims to test how the Technology Acceptance Model (TAM; Davis, 1989, 1993; Venkatesh, 2000)
applies to the use of virtual reality in clinical settings. The sample is composed of 141 adults interested in using
this technology. We adapted the standard items used to test the TAM and added a perceived cost factor as
it was expected to play a role on Intention of Use. Structural equation modeling was used and, after removing
several parameters, an adequate fit to the data was found. The final model revealed that Intention to Use
VR is predicted only by Perceived Usefulness. These results pinpoint what should be better documented in
order to foster the dissemination of virtual reality among clinicians.
@article{Bertrand2008,
abstract = {This study aims to test how the Technology Acceptance Model (TAM; Davis, 1989, 1993; Venkatesh, 2000)
applies to the use of virtual reality in clinical settings. The sample is composed of 141 adults interested in using
this technology. We adapted the standard items used to test the TAM and added a perceived cost factor as
it was expected to play a role on Intention of Use. Structural equation modeling was used and, after removing
several parameters, an adequate fit to the data was found. The final model revealed that Intention to Use
VR is predicted only by Perceived Usefulness. These results pinpoint what should be better documented in
order to foster the dissemination of virtual reality among clinicians.},
added-at = {2011-09-27T16:39:50.000+0200},
author = {Bertrand, Manon and Bouchard, Stéphane},
biburl = {https://www.bibsonomy.org/bibtex/2be697432093c3e818d625d1bc6f824c3/naegle},
interhash = {605133ba29d18449b9515c34d5b68052},
intrahash = {be697432093c3e818d625d1bc6f824c3},
journal = {Journal of CyberTherapy & Rehabilitation},
keywords = {TAM VR acceptanceApplication acceptanceModel earlyAdopters technology},
number = 2,
pages = {200-210},
timestamp = {2011-09-27T16:40:08.000+0200},
title = {Applying the technology acceptance model to VR with people who are favorable of its use},
volume = 1,
year = 2008
}