Smart Homes as an IoT Application: Predicting Attitudes and Behaviours

Smart homes are one of the recent Internet of Things (IoT) applications that offer control and automation to residents to allow them to connect and manage home appliances intelligently. Despite its potential, the success of smart home heavily depends on accepting them by residents. Thus, this study aims to investigate the factors that influence residents acceptance and usage of smart home. By extending the technology acceptance model, this research focused on the role of smart home attributes on the intention to use them and investigate their impact quantitatively by using Structural Equation Modeling (SEM) and Partial Least Squares (PLS). Results show that service personalization, perceived usefulness, and perceived ease of use significantly influence attitude towards smart home which, with the cost and availability factors, impact the intention to use.