The Development of Emotional Interaction for Depressive Patients Based on Human-Computer Interaction Technology

Abstract

Amid rising mental-health burdens worldwide, timely technological approaches are urgently needed to complement traditional clinical assessment and scalable population-level monitoring. Depression is an emotional disorder that has long plagued various populations. With the development of Human-computer Interaction (HCI) technology, it also provides a new paradigm for the treatment and intervention of depression. Against the background of the onset characteristics of depression and how HCI technology, including brain-computer interaction derived from HCI technology, intervenes in depression through new methods, this study focuses on the intervention and treatment of depression. By introducing methods such as speech signal recognition, relevant baseline models, and wearable eye trackers, this study aims to provide solutions to the emotional interaction problems of depressed patients. The purpose of this study is to provide reference significance for relevant scholars. Future work will integrate longitudinal datasets, multimodal sensors, and ethical frameworks to enhance personalization, safety, and real-world deployment and equity.