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Accepted for/Published in: JMIR Formative Research

Date Submitted: Dec 28, 2021
Open Peer Review Period: Dec 28, 2021 - Jan 6, 2022
Date Accepted: May 20, 2022
Date Submitted to PubMed: May 22, 2022
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Improving Well-being With a Mobile Artificial Intelligence–Powered Acceptance Commitment Therapy Tool: Pragmatic Retrospective Study

נאור , Frenkel A, Winsberg M

Improving Well-being With a Mobile Artificial Intelligence–Powered Acceptance Commitment Therapy Tool: Pragmatic Retrospective Study

JMIR Form Res 2022;6(7):e36018

DOI: 10.2196/36018

PMID: 35598216

PMCID: 9328790

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Improving well-being with mobile AI-powered Acceptance Commitment Therapy tool: Pragmatic Retrospective Study

  • נבות נאור; 
  • Alex Frenkel; 
  • Mirène Winsberg

ABSTRACT

Background:

The research and dissemination of smartphones-based apps to deliver coaching and psychological driven intervention had seen a great surge in recent years. Notably, Acceptance Commitment Therapy (ACT) protocols were shown to be uniquely effective in treating symptoms for both depression and anxiety when delivered through smartphone apps. The aim if this study to expand on that work and test the suitability of AI driven intervention delivered directly through popular texting apps.

Objective:

This study evaluated our hypothesis that using Kai.ai will result in improved well-being.

Methods:

A pragmatic retrospective analysis of 2909 users who used Kai.ai on one of the top messaging apps (iMessage, WhatsApp, Discord, Telegram, etc.) Users’ well-being levels were tracked using the WHO-5 well-being questionnaire throughout the engagement with service. Paired sample t-test was used to assess well-being levels pre and post usage, and Hierarchical Linear Modeling was used to examine the change in symptoms over time.

Results:

The median well-being score at the last measurement was better (Mdn = 52) then at the start of the intervention (Mdn = 40), indicating a significant improvement (W=2682927, p<.001, one tailed test). Furthermore, HLM results showed that the improvement in well-being was linearly related to the number of daily messages a user sent (beta =.029, t(81.36)=4, p<.001), as well as the interaction between the number of messages and unique number of days (beta = -.0003, t(81.36)=-2.2, p<.028).

Conclusions:

mobile based Acceptance Commitment Therapy (ACT) interventions are effective means to improve individuals’ well-being. findings reported in this paper further demonstrate Kai.ai’s great promise in helping individuals improve and maintain high levels of well-being, and thus improve their daily life.


 Citation

Please cite as:

נאור , Frenkel A, Winsberg M

Improving Well-being With a Mobile Artificial Intelligence–Powered Acceptance Commitment Therapy Tool: Pragmatic Retrospective Study

JMIR Form Res 2022;6(7):e36018

DOI: 10.2196/36018

PMID: 35598216

PMCID: 9328790

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