Personalising Practice Using Preferences for Meditation Anchor Modality
Open accessAbstract
Many people are starting to establish contemplative practices and Mindfulness-Based Interventions have become quite popular. While Mindfulness-Based Interventions positively impact well-being, drop-out and lack of practice-maintenance plagues these interventions. Such adherence issues may reveal a lack of fit between participant partiality for attentional anchors of meditative practice and the intervention's use of the breath as the anchor of attention. No study had yet compared partiality toward practices using anchors from different sensory modalities (e.g. auditory, visual) thus the present study examined such individual differences, sharing resources on the Open Science Framework (osf.io/hcnz2/). Participants (N=82) engaged 10-min practices within three modalities (somatosensory, auditory, visual) and partiality toward these meditations was modelled. Partiality differences did exist: 49% preferred the breath, 30% the auditory-phrase, and 21% the visual-image. Pre-practice motivation and anchor-modality predicted partiality while cardiac responses were also positively associated with partiality. Preferences were updated through experience and over half of participants left the experiment partial to a different anchor than their initial meditation-naïve bias. Tangible next-steps are discussed, including integrating additional anchor modalities into existing interventions by offering brief practices with a variety of anchors. Suggestions are made for increasing post-training contact using email-automation to answer central practice-maintenance questions, including whether and which contemplative benefits are predicated on continued practice.
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Catering to preferences or motivations to engage with an attentional anchor may improve engagement with and adherence to mindfulness practice.
“Catering to preferences or motivations to engage with an attentional anchor may thus improve engagement with and adherence to mindfulness practice [3].”
From Understanding How Virtual Reality Can Support Mindfulness Practice: Mixed Methods Study (2020) · cites this paper as [3]
Individuals hold personal preferences for attentional anchors.
“As discussed by Anderson and Farb [3], individuals hold personal preferences for attentional anchors.”
From Understanding How Virtual Reality Can Support Mindfulness Practice: Mixed Methods Study (2020) · cites this paper as [3]
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- Authors
- Anderson, T., & Farb, N. A. S.
- Affiliations
- University of Toronto (CA)
- Corresponding author
- Anderson, Thomas
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2018-12-11
- Volume
- 9
- Pages
- 2521-2521
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC6298414
- OpenAlex
- W2809096905
- Cited by
- 29
- References
- 53
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 2 · 2023: 3 · 2022: 2 · 2021: 5 · 2020: 7 · 2019: 2 · 2018: 1
- FWCI
- 4.41
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Natural Sciences and Engineering Research Council of Canada
- Social Sciences and Humanities Research Council of Canada
- Topics
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Social Sciences › Health › Religion, Spirituality, and Psychology
- Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
- Keywords
- mindfulness-based interventions, cardiac response, contemplative practice, email automation
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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