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Related Concept Videos

Cognitive Therapy01:25

Cognitive Therapy

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Cognitive therapy, pioneered by Aaron T. Beck in the 1960s, is a structured approach to addressing psychological distress by focusing on the influence of thoughts on emotions and behaviors. All cognitive therapies involve the basic assumption that human beings have control over their feelings, and that how individuals feel about something depends on how they think about it. Unlike psychoanalytic methods that delve into unconscious processes or humanistic approaches emphasizing...
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Cognitive-behavioral therapies (CBTs) are grounded in the belief that our thoughts profoundly influence our emotions and actions. Advocates of CBT emphasize three core assumptions: first, that cognitions are identifiable and measurable; second, that they are central to psychological functioning; and third, that irrational or maladaptive beliefs can be replaced with rational and adaptive ones. This transformative approach to therapy has paved the way for specific models such as Albert...
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Treatment approaches for psychological disorders fall into three main categories: psychological, biological, and sociocultural. Each approach targets different aspects of mental health, requiring varying levels of education and training.
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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
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Increasing engagement with cognitive-behavioral therapy (CBT) using generative AI: a randomized controlled trial

Jessica McFadyen1, Johanna Habicht2, Larisa-Maria Dina2,3

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Generative AI (genAI) mental health apps significantly boost user engagement compared to digital workbooks. While not improving overall symptom reduction, genAI shows promise for personalized, scalable digital mental healthcare solutions.

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Area of Science:

  • Digital mental health
  • Artificial intelligence in healthcare
  • Cognitive behavioral therapy

Background:

  • Mental healthcare shortages create significant unmet patient needs.
  • Digital interventions offer scalable solutions but struggle with patient engagement.
  • Generative AI (genAI) presents an opportunity to enhance engagement and personalization in digital mental health treatments.

Purpose of the Study:

  • To evaluate if a genAI-enabled cognitive behavioral therapy (CBT) app improves engagement and reduces symptoms compared to digital CBT workbooks.
  • To assess the safety and efficacy of genAI in a self-guided digital mental health intervention.

Main Methods:

  • A randomized controlled trial (N=540) comparing a genAI app to digital CBT workbooks over six weeks.
  • Participants with elevated anxiety or depression symptoms were recruited online.
  • Primary outcomes included engagement frequency/duration and changes in GAD-7 and PHQ-9 scores.

Main Results:

  • The genAI app increased engagement frequency (2.4x) and duration (3.8x) compared to workbooks.
  • No significant differences in anxiety or depression symptom reduction were observed between groups.
  • Exploratory analysis indicated stronger anxiety reduction with genAI personalization features.

Conclusions:

  • GenAI-enabled therapy safely enhances user engagement in self-directed use compared to static digital materials.
  • Current findings do not show overall enhancement in symptom reduction for anxiety or depression.
  • GenAI holds potential for scalable, engaging digital mental health interventions.