Human-Computer Interaction in Digital Mental Health

Human-computer interaction (HCI) has contributed to the design and development of some efficient, user-friendly, cost-effective, adaptable digital mental health solutions. But HCI not been well-combined into technological developments resulting in quality safety concerns. Digital platforms artificial intelligence (AI) have a good potential improve prediction, identification, coordination, treatment by care suicide prevention services. AI is driving web-based smartphone apps; mostly it used for self-help guided cognitive behavioral therapy (CBT) anxiety depression. Interactive may help real-time screening outdated, strained or lacking healthcare systems. The barriers using include accessibility, efficacy, reliability, usability, safety, security, ethics, suitable education training, socio-cultural adaptability. Apps, machine learning algorithms, immersive technologies, phenotyping are notable prospects. Generally, there need faster better human factors combination with automation, higher levels effectiveness evaluation application blended, hybrid stepped an adjunct approach. modeling assist usable applications, effectively recognize, acknowledge, address inequities therapeutic alliance.