| dc.description.abstract | Smart devices have become an integral component of modern daily life due to their
ability to interact, connect, and exchange information within intelligent environments.
These emerging technologies have been followed by another innovation that has
attracted growing interests – smart mirrors. These offer a platform that integrates
traditional reflection with cutting-edge technology. This review focuses on Kansei
Engineering concepts that have been adopted in smart mirror technology and its
emphasis on psychological factors that provide enhanced user experience. This
review discusses existing literature on aspects such as interaction methods, Internet
of Things technology integration, applications involving affective computing, and
intelligent perception methods. The results reveal that voice interaction provides better
usability and convenience compared to touch interaction technologies that can be
limited in moisture-rich conditions. Also, the Internet of Things-enabled smart mirror
systems greatly enhance system functionality by incorporating real-time information
query capability and cooperation between systems and devices seamlessly. Vision related neural network models further improve the interaction process by incorporating
features like face recognition, observation, and awareness. Affective computing methods
prominently improve user engagement and satisfaction by enabling systems to change
according to the users’ emotional conditions at any given time. Kansei Engineering
methodology allows for effective conversion of subjective emotional demands to design
parameters by properly integrating human-centric designs and system implementation.
Furthermore, issues like privacy, security, and ethics are proved to play highly relevant
roles within emotional trust issues for comfort and acceptance of smart mirror systems
designed for various self-care requirements. | en_US |
