AI-Based and Digital Mental Health Apps
Balancing Need and Risk
Bibliographic Data
| ID | 20362188 |
|---|---|
| Authors | Salah Hamdoun (School for the Future of Innovation in Society, Arizona State University, Tempe, AZ, USA), Rebecca Monteleone (0000-0003-2640-0646, University of Toledo), Terri Bookman (0000-0001-9842-4845, Independent Editor and Journalist, Ontario, NY, USA), Keren Michael (0000-0003-3118-5557, School for the Future of Innovation in Society, Arizona State University, Tempe, AZ, USA) |
| Year | 2023 |
| Volume | 42 |
| Issue | 1 |
| Pages | 25-36 |
| Publication date | 2023-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | IEEE Technology and Society Magazine (JOURNAL) |
| Journal identifiers | ISSN: 0278-0097 • E-ISSN: 1937-416X |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) (PUBLISHER) |
| DOI | 10.1109/mts.2023.3241309 |
| OpenAlex | W4323352096 |
| Language | EN |
| Citations received | 14 |
| References cited | 35 |
Mental health and well-being are increasingly important topics in discussions on public health [1] . The COVID-19 pandemic further revealed critical gaps in existing mental health services as factors such as job losses and corresponding financial issues, prolonged physical illness and death, and physical isolation led to a sharp rise in mental health conditions [2] . As such, there is increasing interest in the viability and desirability of digital mental health applications. While these dedicated applications vary widely, from platforms that connect users with healthcare professionals to diagnostic tools to self-assessments, this article specifically explores the implications of digital mental health applications in the form of chatbots [3] . Chatbots can be text based or voice enabled and may be rule based (i.e., linguistics based) or based on machine learning (ML). They can utilize the power of conversational agents well-suited to task-oriented interactions, like Apple’s Siri, Amazon’s Alexa, or Google Assistant. But increasingly, chatbot developers are leveraging conversational artificial intelligence (AI), which is the suite of tools and techniques that allow a computer program to seemingly carry out a conversational experience with a person or a group
Chatbot · Internet privacy · Mental health · Mental healthcare · Psychiatry · Computer Science · COVID-19 and Mental Health · Digital Mental Health Interventions · Mental Health via Writing · Psychology · Artificial Intelligence
The benefits and future potential of generative artificial intelligence (GAI) on mental health
Crisis-line workers’ perspectives on AI in suicide prevention
Microfoundations of rationality in the age of AI
Mental Health Professionals’ Views on Artificial Intelligence as an Aide for Children Anticipating or Suffering the Loss of a Parent to Cancer
Investigating the mediating role of ethical issues and healthcare between the metaverse and mental health in Pakistan, China, and Saudi Arabia
Enhancing ethical codes with artificial intelligence governance – a growing necessity for the adoption of generative AI in counselling
AI-human interactions in healthcare
Swipe to diagnose
The importance of justified patient trust in unlocking AI's potential in mental healthcare
ChatSh*t and Other Conversations (That We Should Be Having, But Mostly Are Not)
Toxic Technology
Autonomy by Design
Real-World Testing of an Artificial Intelligence Conversational Agent as an Early Intervention and Support Tool in the Mental Health Referral Care Pathway
Exploring Student Perceptions of Generative AI Therapists and Their Benefits and Challenges in Schools
How mental health care should change as a consequence of the Covid-19 pandemic
Barriers to mental health treatment
Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions
Age, period, and cohort trends in mood disorder indicators and suicide-related outcomes in a nationally representative dataset, 2005–2017.
Mental Health and the Covid-19 Pandemic
Wim Wenders’ Wings of Desire
| Citations per year | 4.67 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |