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

2021 ◽  
Author(s):  
נבות נאור ◽  
Alex Frenkel ◽  
Mirène Winsberg
Keyword(s):  
Hierarchical Linear Modeling ◽  
Effective Means ◽  
Well Being ◽  
Great Promise ◽  
Depression And Anxiety ◽  
Smartphone Apps ◽  
Linear Modeling ◽  
Acceptance Commitment Therapy ◽  
Commitment Therapy ◽  
Over Time

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.

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

2021 ◽  
Author(s):  
Navot Naor ◽  
Alex Frenkel ◽  
Mimi Winsberg@gmail
Keyword(s):  
Hierarchical Linear Modeling ◽  
Effective Means ◽  
Well Being ◽  
Great Promise ◽  
Depression And Anxiety ◽  
Smartphone Apps ◽  
Linear Modeling ◽  
Paired Sample ◽  
Acceptance Commitment Therapy ◽  
Commitment Therapy

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&lt;0.001, 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 = 0.029, t(81.36)=4, p&lt;0.001), as well as the interaction between the number of messages and unique number of days (beta = -0.0003, t(81.36)=-2.2, p&lt;0.05).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.

scholarly journals Economic Complexity and Human Development: Moderated by Logistics and International Migration

2021 ◽  
Vol 13 (4) ◽  
pp. 1867
Author(s):  
Emilie Sophie Le Caous ◽  
Fenghueih Huarng
Keyword(s):  
Human Development ◽  
International Migration ◽  
Hierarchical Linear Modeling ◽  
Human Life ◽  
Well Being ◽  
Linear Modeling ◽  
Statistical Tool ◽  
Economic Wealth ◽  
Economic Complexity ◽  
The Relationship

Living in a world where we can expand our economic wealth and the richness of human life is the core of the human development concept. Greater well-being for all can be achieved by improving people’s capabilities and more importantly, by giving individuals the ability to use their knowledge and skills. The economic complexity index (i.e., ECI) is a new indicator that defines a country’s complexity. Through a vast network, citizens can transfer an enormous quantity of relevant knowledge, leading to the creation of diversified and complex products. However, the relationship between economic complexity and human development is not that simple. Thus, this paper aimed to understand it deeper—international migration and logistics performance are used as moderators. Hierarchical linear modeling was the statistical tool used to analyze two groups of countries from 1990 to 2017. For robustness and to deal with possible endogeneity issues, different year lags were also included. The results show that international migration and logistics performance are decisive moderators as they change the relationship between economic complexity and human development.

scholarly journals Acceptance Commitment Therapy Intervention for Custodial Grandfamilies

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 928-928
Author(s):  
Manuela E Faulhaber ◽  
Amie Zarling ◽  
Jeongeun Lee
Keyword(s):  
Mental Health ◽  
Well Being ◽  
Web Based ◽  
Acceptance Commitment Therapy ◽  
Self Confidence ◽  
Commitment Therapy ◽  
Acceptance And Commitment ◽  
Time Period ◽  
Biological Parents ◽  
American Children

Abstract Millions of American children under the age of 18 are being cared for by their grandparents and without the presence of the biological parents. The number of custodial grandfamilies has significantly increased over the last five years. Recent studies have shown that custodial grandparents (CPGs) are often facing specific challenges in life, such as lower emotional well-being, higher parenting burden and stress related to this unique situation. Despite these findings, few interventions take a strengths based approach to improve their mental health and resilience. We describe our efforts to address these issues by proposing intervention anchored in the Acceptance and Commitment Therapy (ACT), emphasizing the importance of acceptance of challenging circumstances outside of one’s control and promoting resilience among participants. The program consists of a web based ACT program with online coaching meetings, six common core sessions and six separate sessions for each age group over a time period of six months. This program is unique in the sense that it utilizes both individual and group session techniques to facilitate the learning process. Main active ingredients of this program are to promote effective coping strategies, to reduce parenting stress among grandparents and to increase life skills (i.e., decision-making, proactivity) among grandchildren. We are hypothesizing that participating in the ACT program will help CGPs to improve self-efficacy, emotional well-being, higher self-confidence, social competence, lower depressive symptoms, and parenting distress, thereby leading to positive outcomes such as improved mental health and higher resilience.

scholarly journals Nutrition Education Among Low-Income Older Adults: A Randomized Intervention Trial in Congregate Nutrition Sites

2006 ◽  
Vol 33 (3) ◽  
pp. 374-392 ◽  
Author(s):  
Roger E. Mitchell ◽  
Sarah L. Ash ◽  
Jacquelyn W. McClelland
Keyword(s):  
Older Adults ◽  
Nutrition Education ◽  
Hierarchical Linear Modeling ◽  
Low Income ◽  
Limited Resource ◽  
Well Being ◽  
Linear Modeling ◽  
Randomized Design ◽  
Randomized Intervention ◽  
And Control

Nutritional well-being among older adults is critical for maintaining health, increasing longevity, and decreasingthe impactofchronicillness. However, few well-controlledstudies have examinednutritionalbehav ior change among low-income older adults. A prospective, controlled, randomized design examined a fivesession nutrition education module delivered to limited-resource older adults ( N = 703) in Congregate Nutrition sites by Cooperative Extensionagents. Experimentalgroupparticipantswere significantly more likely than con trol groupparticipants to increase multivitamin use, to increase calcium supplementuse, to read labels of dietary supplements, to carry a supplement and/or medication list, and to discuss such use with their health care profes sional. The study addresses weaknesses in the literature by using a theoretically derived education component, implementing the intervention within a setting regularly used by low-income older adults, employing random ized assignment to intervention and control conditions, and using hierarchical linear modeling to deal with “nested” data.

scholarly journals Core Self-Evaluations Over Time

2020 ◽  
Vol 41 (1) ◽  
pp. 1-7
Author(s):  
Michael C. Tocci ◽  
Patrick D. Converse ◽  
Nicholas A. Moon
Keyword(s):  
Hierarchical Linear Modeling ◽  
Self Concept ◽  
Linear Modeling ◽  
Fundamental Nature ◽  
Organizational Behaviors ◽  
Theoretical Perspectives ◽  
Time Periods ◽  
New Perspective ◽  
Core Self ◽  
Over Time

Abstract. Core self-evaluations (CSEs) represent a prominent construct with links to a number of important organizational behaviors and outcomes. Previous research on this variable appears to have assumed that CSE is a stable trait. However, very little research has examined this assumption, particularly over longer time periods. This study investigated this issue, focusing on within-person variability in CSE. Drawing from several theoretical perspectives related to self-concept, we examined the extent to which levels of this construct varied over several years as well as potential predictors of this variability. Hierarchical linear modeling analyses indicated there was substantial within-person variance in CSE over time and this variability was related to income and education. These findings shed additional light on the fundamental nature of CSE, contributing to a new perspective on this construct with potential implications for employees, organizations, and researchers.

Using Hierarchical Linear Modeling to Examine Dynamic Performance Criteria Over Time

1997 ◽  
Vol 23 (6) ◽  
pp. 745-757 ◽  
Author(s):  
Diana L. Deadrick ◽  
Nathan Bennett ◽  
Craig J. Russell
Keyword(s):  
Hierarchical Linear Modeling ◽  
Dynamic Performance ◽  
Individual Performance ◽  
Performance Criteria ◽  
Practical Significance ◽  
Linear Modeling ◽  
Modeling Analysis ◽  
And Performance ◽  
Over Time ◽  
Dynamic Criteria

The selection literature has long debated the theoretical and practical significance of dynamic criteria. Recent research has begun to explore the nature of individual performance over time. This study contributes to this body of research through a hierarchical linear modeling analysis of dynamic criteria. The purpose of this study was to investigate the role of ability in explaining initial job performance, as well as the rate of improvement-or performance trend-among a sample of 408 sewing machine operators over a 24 week period. The results of a hierarchical linear modeling analysis suggest that ability measures are differentially related to initial performance and performance improvement trend.

A Hierarchical Linear Modeling Assessment of Dual-Addiction Status and Change in Sexual Compulsivity over Time

2010 ◽  
Vol 107 (1) ◽  
pp. 236-244 ◽  
Author(s):  
Paul J. Wright
Keyword(s):  
Hierarchical Linear Modeling ◽  
Sexual Compulsivity ◽  
Linear Modeling ◽  
Treatment Providers ◽  
Research Questions ◽  
Sexually Compulsive ◽  
Over Time

This study examined the association between dual-addiction status and sexual compulsivity over time in a sample of self-identified sexually compulsive males. Hierarchical linear modeling was utilized to address the study's research questions. Dually addicted sexually compulsive males exhibited lower rates of sexual compulsivity than their singularly addicted counterparts initially but displayed less precipitous declines in sexual compulsiveness over time. Implications for treatment providers are discussed.

scholarly journals Efektivitas Acceptance Commitment Therapy dalam Meningkatkan Subjective Well-Being pada Dewasa Muda Pasca Putusnya Hubungan Pacaran

2019 ◽  
Vol 9 (01) ◽  
pp. 78-97
Author(s):  
Sri Juwita Kusumawardhani ◽  
E. Kristi Poerwandari
Keyword(s):  
Romantic Relationship ◽  
Qualitative Evaluation ◽  
Well Being ◽  
Self Esteem ◽  
Relationship Dissolution ◽  
Subjective Well Being ◽  
Entire Life ◽  
Acceptance Commitment Therapy ◽  
Commitment Therapy ◽  
Oxford Happiness Questionnaire

Romantic relationship is one of the most important assets for individual’s self esteem, health and happiness or their subjective well-being (Reis, Collins, & Berscheid, 2000). By that fact, the broke-up of the romantic relationship can decrease the level of happiness and subjective well-being of individuals whether the subjective well-being itself is relatively stable for the entire life (Park & Sanchez, 2007). Sometimes an individual responded their broke-up by doing some maladaptive acts such as an endless emotional distress and obsessive act just to get back their ex-partner. The purpose of this research is to give Acceptance Commitment Therapy (ACT) in order to enhance people’s happiness. The research design is using one group pretest-postest design. As a partisipant, young adult should be in 20 until 40 years of age. This intervention contains 5 (five) session which held once in a week and the duration is  ± 90 minutes per session. Based on the quantitative evaluation with Oxford Happiness Questionnaire and Core Bereavement Item, and also the qualitative evaluation  from observation and interview, the main result pointed that Acceptance Commitment Therapy is effectively proven to increase subjective well-being in Young Adults’ post relationship dissolution.

Sign in / Sign up

Export Citation Format

Share Document