Home // AMBIENT 2017, The Seventh International Conference on Ambient Computing, Applications, Services and Technologies // View article
Towards Technology Acceptance Assessment in Ambient Intelligence Environments
Authors:
Stavroula Ntoa
Margherita Antona
Constantine Stephanidis
Keywords: Technology Acceptance; Models classification; Ambient Intelligence;
Abstract:
This paper discusses technology acceptance in the context of Ambient Intelligence (AmI) environments. Determining what would make a technology acceptable by users was widely recognized as a significant field of research since the seventies. Ever since several models have been developed, while recent advances in technology have led to increased research interest in assessing technology acceptance in a variety of domains. This has resulted in a plethora of studies and an extensive number of parameters that can be considered important towards predicting the acceptance of a given technology by its target audience. An important concern is how to practically employ these models for the assessment of AmI environments, given their high complexity and the wide range of potential contexts and target users. To this end, this paper carries out a review of the most important models and their evolution over time, as well as a review of studies extending these models in a variety of domains beyond the workplace. Furthermore, a classification of the parameters studied across these models is carried out, identifying a common feature across existing technology acceptance studies, namely that all assessments are based on self-reported metrics. This highlights the need for a synergistic evaluation approach, where assessment will move beyond self-reported or observed metrics and will be supported and assisted by the AmI environment itself.
Pages: 38 to 47
Copyright: Copyright (c) IARIA, 2017
Publication date: November 12, 2017
Published in: conference
ISSN: 2326-9324
ISBN: 978-1-61208-601-9
Location: Barcelona, Spain
Dates: from November 12, 2017 to November 16, 2017