Designing Chatbots to Treat Depression in Youth: Qualitative Study.

Area of Science:

• Digital mental health interventions
• Adolescent psychology
• Human-computer interaction

Background:

• Depression is a significant mental health issue in youth, with treatment access often limited by various barriers.
• Digital mental health interventions, specifically chatbots, show promise in overcoming these barriers.
• Existing research on chatbots for depression primarily targets adults or general population prevention.

Purpose of the Study:

• To explore the challenges and coping mechanisms of depressed youth.
• To understand youth attitudes, expectations, and design preferences for depression-treating chatbots.
• To inform the development of tailored digital mental health tools for adolescents.

Main Methods:

• A qualitative study involving 14 youth with current or remitted depressive episodes.
• Utilized semistructured interviews and think-aloud sessions with a chatbot prototype.
• Gathered insights into user experiences and design desiderata.

Main Results:

• Participants reported diverse issues beyond core depressive symptoms, including interpersonal and academic concerns.
• Coping strategies included seeking social support and engaging in enjoyable activities.
• Attitudes toward chatbots were positive, with less anxiety compared to human therapists.
• Design preferences varied, encompassing dialogue topics, chatbot personality, language, and personalization.

Conclusions:

• This research offers a foundation for designing chatbots that cater to the specific needs of depressed youth.
• Findings can guide the creation of engaging and effective chatbot interventions for this population.
• Chatbots represent a viable and preferred option for some adolescents seeking mental health support.