Novel Bayesian Track-Before-Detection for Drones Based VB-Multi-Bernoulli Filter and a GIGM Implementation

Exploring factors affecting the adoption and continuance usage of drone in healthcare: The role of the environment

“…In order to eliminate or, minimize the complexity of smart service delivery channels, the interface technologies should be efficient and personalize it in order to give the users sufficient choices and information to make real-time decisions and accomplish their service needs easily and timely without being confounded by the smart service delivery technologies [ 82 ]. In relation to the confirmation of expectations, it is key that smart service delivery providers like drone delivery technologies involve and interact with users through the whole cycle of service development to minimize user challenges [ 48 ]. Expectation before initial usage provides a baseline for users to evaluate their satisfaction.…”

“…Using path analysis, [ 84 ] argued that user information satisfaction (UIS) could lead to system usage. In general, perceived user-friendliness or ease-of-use of technological innovations offers the strongest explanation of the impacts of such technologies on users’ satisfaction and behavioral intention to use such innovations [ 48 ]. According to the expectation-confirmation theory, consumer’s satisfaction refers to their cognitive and affective state of fulfillment after a purchase.…”

“…An easy-to-use system will encourage higher system utilization, and users will be more inclined to embrace it if it is perceived as such. [ 48 ] observed that, in order to sustain connectivity and communication between smart city services (SCS), it is necessary to promote the adoption and usage of SCS technology. Users must be able to see the benefits of accessing and completing SCS as an improvement in their overall quality of lives [ 49 ].…”