Author(s)

Luo Yujie

Corresponding Author

Luo Yujie

Abstract

This thesis synthesizes cutting-edge explorations of data-driven human-robot interaction technologies in different fields. Through technological tools such as deep learning, applications in the fields of intelligent assistants, home robots, medical care and rehabilitation robots, as well as education and training are having a profound impact on people's lives, work and learning. However, with the development of technology, we are facing challenges such as data privacy and security, algorithmic transparency and fairness. Therefore, we need to emphasize the ethical, legal and social policy building of technology to ensure the sustainable development of HCI technology. This paper calls for focusing on user experience and social impacts while technological innovation, so as to jointly promote the healthy development of human-computer interaction technology and make positive contributions to the construction of an intelligent and humanized society.

Keywords

Data-driven; Human-computer Interaction; Technology Development