Behavioural Intention of Customers Towards Smartwatches in an Ambient Environment Using Soft Computing: An Integrated SEM-PLS and Fuzzy Rough Set Approach

Gladys Gnana Kiruba B. and Debi Prasanna Acharjya
Additional contact information
Gladys Gnana Kiruba B.: Vellore Institute of Technology, India
Debi Prasanna Acharjya: Vellore Institute of Technology, India

International Journal of Ambient Computing and Intelligence (IJACI), 2020, vol. 11, issue 2, 80-111

Abstract: The growth of new technologies and ambient intelligence is an emerging technology that enhances our life by adding sensors and networks. Ambient technology is a revolution on smart devices that makes human life efficient. Smartwatches are one that provides flexibility in people's daily lives by adopting sensing and reasoning of their activities and the surrounding environment. Analyzing a customer's behaviour towards smartwatches that use ambient intelligence is a critical issue. This article analyses the behavioural intention of customer satisfaction towards smartwatch users in an ambient environment with the help of structured equation modeling using partial least squares and fuzzy rough sets. The structural equation modeling is used to check the reliability and validity of the constructs whereas a fuzzy rough set is used for rule generation and studying customer satisfaction. This enhances the personalization of human beings with the assistance of human-computer interaction capabilities of ambient intelligence.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJACI.2020040105 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jaci00:v:11:y:2020:i:2:p:80-111

Access Statistics for this article

International Journal of Ambient Computing and Intelligence (IJACI) is currently edited by Nilanjan Dey

More articles in International Journal of Ambient Computing and Intelligence (IJACI) from IGI Global
Bibliographic data for series maintained by Journal Editor ().