Ubiquitous Computing Acceptance Model: end user concern about security, privacy and risk

Abstract

This study integrates cognitive and affective attitudes as the primary factors of influence to formulate a Ubiquitous Computing Acceptance Model (UCAM), which is intended to predict whether potential users will accept ubiquitous computing (u–computing). The goal of this study was to empirically assess the UCAM by identifying the factors that contribute to user attitudes and intentions in u–computing environments. This study is one of the first to empirically evaluate the relationships among trust, security, privacy, usefulness, ease of use and behavioural intention in the ubiquitous city context.

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