Exploring the Usefulness and Usability of Ambient Theory for Smart Cities

2Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The purpose of this paper is to explore the usefulness and usability of ambient theory for smart cities. This work is motivated by the need for theory in assisting to provide understanding of, and insight into, the evolving development of smart cities. While ambient theory for smart cities has been advanced, assessed as a theory, and evaluated as a good theory, this paper highlights the importance and nature of usefulness and usability for ambient theory in smart environments. A theoretical perspective is provided based on a review of the research literature for the concepts of theory usefulness and usability. An overview of research works associated with ambient theory and smart environments is then provided along with emergent variables explored. Using an exploratory case study combined with an explanatory correlational design, variables relevant to usefulness and usability are explored in the context of ambient theory for smart cities. Quantitative findings emerging from survey results reveal the nature and possible usefulness of correlations for variables such as mixed-use spaces and urbanizing (e.g., adapting for urban uses). Among the advantages of exploring the usefulness and usability of ambient theory for smart cities is that guidance on potential variables for researchers and practitioners to consider is provided while involving people meaningfully in thinking about and assessing their everyday urban experiences. The impact of these findings for the application of ambient theory for smart cities could influence directions for smart cities and regions in terms of planning, design, development, evaluation, and creative uses going forward.

Cite

CITATION STYLE

APA

McKenna, H. P. (2022). Exploring the Usefulness and Usability of Ambient Theory for Smart Cities. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13325 LNCS, pp. 169–180). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-05463-1_12

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free