Evaluating a Mobile Digital Health Platform as an Adjunct to Patients’ Mental Healthcare Using a Longitudinal, Mixed-Methods Study Design

Rocheleau, Jessica N.; Shaughnessy, Krystelle; Courtice, Erin Leigh; Reyes, Rebeca Abigail Recinos; Huijbregts, Thomas; Gahir, Rini; Kipping, Sarah; Riahi, Sanaz; Fischler, Ilan

doi:10.4135/9781526446053

Cited by 1 publication

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“…Digital approaches are broadly considered to have a good potential as a mental health care adjunct [63,[141][142][143]. For example, a noted prospect is merging facial recognition and NLP emotion-detection software to provide a complex picture of mood and mental states [79].…”

Section: Human-computer Interaction Challenges and Digital Mental Hea...mentioning

confidence: 99%

Human-Computer Interaction in Digital Mental Health

Balcombe

Leo

2022

Informatics

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 Interactive AI may help real-time screening and treatment in outdated, strained or lacking mental healthcare systems.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

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