MOODY: A Natural Language Processing-Based Chatbot for Mental Health Care

Thakur, Shubhangi; Rastogi, Dhruv; Singh, Leena

doi:10.1007/978-981-19-4364-5_64

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…Future studies should also investigate the specific elements that have the greatest effects to improve diverse health parameters, such as psychoeducation or exercises. Future research should implement large language models to provide and further develop diverse artificial intelligence (AI) chatbots in digital mental health interventions [ 77 , 78 ]. Recent findings such as those showing that AI-based chatbots are more effective in clinical or subclinical populations [ 74 ] need to be considered.…”

Section: Discussionmentioning

confidence: 99%

Effects of a Chatbot-Based Intervention on Stress and Health-Related Parameters in a Stressed Sample: Randomized Controlled Trial

Schillings,

Meißner,

Erb

et al. 2024

JMIR Ment Health

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Background Stress levels and the prevalence of mental disorders in the general population have been rising in recent years. Chatbot-based interventions represent novel and promising digital approaches to improve health-related parameters. However, there is a lack of research on chatbot-based interventions in the area of mental health. Objective The aim of this study was to investigate the effects of a 3-week chatbot-based intervention guided by the chatbot ELME, specifically with respect to the ability to reduce stress and improve various health-related parameters in a stressed sample. Methods In this multicenter two-armed randomized controlled trial, 118 individuals with medium to high stress levels were randomized to the intervention group (n=59) or the treatment-as-usual control group (n=59). The ELME chatbot guided participants of the intervention group through 3 weeks of training based on the topics stress, mindfulness, and interoception, with practical and psychoeducative elements delivered in two daily interactive intervention sessions via a smartphone (approximately 10-20 minutes each). The primary outcome (perceived stress) and secondary outcomes (mindfulness; interoception or interoceptive sensibility; subjective well-being; and emotion regulation, including the subfacets reappraisal and suppression) were assessed preintervention (T1), post intervention (T2; after 3 weeks), and at follow-up (T3; after 6 weeks). During both conditions, participants also underwent ecological momentary assessments of stress and interoceptive sensibility. Results There were no significant changes in perceived stress (β03=–.018, SE=.329; P=.96) and momentary stress. Mindfulness and the subfacet reappraisal significantly increased in the intervention group over time, whereas there was no change in the subfacet suppression. Well-being and momentary interoceptive sensibility increased in both groups over time. Conclusions To gain insight into how the intervention can be improved to achieve its full potential for stress reduction, besides a longer intervention duration, specific sample subgroups should be considered. The chatbot-based intervention seems to have the potential to improve mindfulness and emotion regulation in a stressed sample. Future chatbot-based studies and interventions in health care should be designed based on the latest findings on the efficacy of rule-based and artificial intelligence–based chatbots. Trial Registration German Clinical Trials Register DRKS00027560; https://drks.de/search/en/trial/DRKS00027560 International Registered Report Identifier (IRRID) RR2-doi.org/10.3389/fdgth.2023.1046202

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Section: Discussionmentioning

confidence: 99%

Effects of a Chatbot-Based Intervention on Stress and Health-Related Parameters in a Stressed Sample: Randomized Controlled Trial

Schillings,

Meißner,

Erb

et al. 2024

JMIR Ment Health

View full text Add to dashboard Cite

show abstract

Effects of a Chatbot-Based Intervention on Stress and Health-Related Parameters in a Stressed Sample: Randomized Controlled Trial (Preprint)

Schillings,

Meißner,

Erb

et al. 2023

Preprint

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BACKGROUND Stress levels and the prevalence of mental disorders in the general population have been rising in recent years. Chatbot-based interventions represent novel and promising digital approaches to improve health-related parameters. However, there is a lack of research on chatbot-based interventions in the area of mental health. OBJECTIVE The aim of this study was to investigate the effects of a 3-week chatbot-based intervention guided by the chatbot ELME, specifically with respect to the ability to reduce stress and improve various health-related parameters in a stressed sample. METHODS In this multicenter two-armed randomized controlled trial, 118 individuals with medium to high stress levels were randomized to the intervention group (n=59) or the treatment-as-usual control group (n=59). The ELME chatbot guided participants of the intervention group through 3 weeks of training based on the topics stress, mindfulness, and interoception, with practical and psychoeducative elements delivered in two daily interactive intervention sessions via a smartphone (approximately 10-20 minutes each). The primary outcome (perceived stress) and secondary outcomes (mindfulness; interoception or interoceptive sensibility; subjective well-being; and emotion regulation, including the subfacets reappraisal and suppression) were assessed preintervention (T1), post intervention (T2; after 3 weeks), and at follow-up (T3; after 6 weeks). During both conditions, participants also underwent ecological momentary assessments of stress and interoceptive sensibility. RESULTS There were no significant changes in perceived stress (β<sub>03</sub>=–.018, SE=.329; <i>P</i>=.96) and momentary stress. Mindfulness and the subfacet reappraisal significantly increased in the intervention group over time, whereas there was no change in the subfacet suppression. Well-being and momentary interoceptive sensibility increased in both groups over time. CONCLUSIONS To gain insight into how the intervention can be improved to achieve its full potential for stress reduction, besides a longer intervention duration, specific sample subgroups should be considered. The chatbot-based intervention seems to have the potential to improve mindfulness and emotion regulation in a stressed sample. Future chatbot-based studies and interventions in health care should be designed based on the latest findings on the efficacy of rule-based and artificial intelligence–based chatbots. CLINICALTRIAL German Clinical Trials Register DRKS00027560; https://drks.de/search/en/trial/DRKS00027560 INTERNATIONAL REGISTERED REPORT RR2-doi.org/10.3389/fdgth.2023.1046202

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MOODY: A Natural Language Processing-Based Chatbot for Mental Health Care

Cited by 2 publications

References 6 publications

Effects of a Chatbot-Based Intervention on Stress and Health-Related Parameters in a Stressed Sample: Randomized Controlled Trial

Effects of a Chatbot-Based Intervention on Stress and Health-Related Parameters in a Stressed Sample: Randomized Controlled Trial

Effects of a Chatbot-Based Intervention on Stress and Health-Related Parameters in a Stressed Sample: Randomized Controlled Trial (Preprint)

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