Evidence map›Paper›PMID 38131865›Full record

ReviewBehavioral sciences (Basel, Switzerland)2023

Digitally Assisted Mindfulness in Training Self-Regulation Skills for Sustainable Mental Health: A Systematic Review.

Eleni Mitsea, Athanasios Drigas, Charalabos Skianis

Open access · goldAbstract readReview
In one paragraph

Review in Behavioral sciences (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 6 pooled it
15.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 6 syntheses or guidelines pooled it, 76 citations in OpenAlex.

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  20. A Horizon Scan of Neurotechnology Innovations.International journal of environmental research and public health · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Eleni MitseaNet Media Lab & Mind & Brain R&D, Institute of Informatics & Telecommunications, National Centre of Scientific Research 'Demokritos' Athens, Agia Paraskevi, 15341 Athens, Greece.ORCID 0000-0003-4054-6318
Athanasios DrigasNet Media Lab & Mind & Brain R&D, Institute of Informatics & Telecommunications, National Centre of Scientific Research 'Demokritos' Athens, Agia Paraskevi, 15341 Athens, Greece.ORCID 0000-0001-5637-9601
Charalabos SkianisDepartment of Information and Communication Systems Engineering, University of Aegean, 82300 Mytilene, Greece.
National Centre of Scientific Research "Demokritos" · GRUniversity of the Aegean · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The onset of the COVID-19 pandemic has led to an increased demand for mental health interventions, with a special focus on digitally assisted ones. Self-regulation describes a set of meta-skills that enable one to take control over his/her mental health and it is recognized as a vital indicator of well-being. Mindfulness training is a promising training strategy for promoting self-regulation, behavioral change, and mental well-being. A growing body of research outlines that smart technologies are ready to revolutionize the way mental health training programs take place. Artificial intelligence (AI); extended reality (XR) including virtual reality (VR), augmented reality (AR), and mixed reality (MR); as well as the advancements in brain computer interfaces (BCIs) are ready to transform these mental health training programs. Mindfulness-based interventions assisted by smart technologies for mental, emotional, and behavioral regulation seem to be a crucial yet under-investigated issue. The current systematic review paper aims to explore whether and how smart technologies can assist mindfulness training for the development of self-regulation skills among people at risk of mental health issues as well as populations with various clinical characteristics. The PRISMA 2020 methodology was utilized to respond to the objectives and research questions using a total of sixty-six experimental studies that met the inclusion criteria. The results showed that digitally assisted mindfulness interventions supported by smart technologies, including AI-based applications, chatbots, virtual coaches, immersive technologies, and brain-sensing headbands, can effectively assist trainees in developing a wide range of cognitive, emotional, and behavioral self-regulation skills, leading to a greater satisfaction of their psychological needs, and thus mental wellness. These results may provide positive feedback for developing smarter and more inclusive training environments, with a special focus on people with special training needs or disabilities.

Indexed as

artificial intelligenceaugmented realitybiofeedbackbrain-sensing headbandschatbotschatGPTdigital mindfulnessextended realityinternet of thingsmetaversemixed realityself-regulationsustainable wellnessvirtual reality

Identifiers

PMID38131865
PMCPMC10740653
OpenAlexW4389565446

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.