Mindfulness and autonomous sensory meridian response (ASMR)
Bibliographic record
Abstract
BACKGROUND: Autonomous sensory meridian response (ASMR) is a perceptual phenomenon in which specific audiovisual stimuli frequently elicit tingling sensations on the scalp and neck. These stimuli ("ASMR triggers") are typically social in nature (e.g., watching someone brush their hair, hearing whispering,) and often elicit a calm and positive emotional state that may last up to several minutes. ASMR experiences phenomenologically overlap with mindfulness; however, no research has directly examined how mindfulness might relate to ASMR. METHODS: In the current study, 284 individuals with ASMR completed the Toronto Mindfulness Scale (TMS), the Mindful Attention and Awareness Scale (MAAS), and a questionnaire examining ASMR experiences. Age- and sex-matched control participants were asked to view two ASMR-eliciting videos to ensure that they did not experience tingling sensations associated with ASMR; they then completed the TMS and MAAS questionnaires. RESULTS: When compared with matched controls, individuals with ASMR generated significantly higher scores on the MAAS, a global measure of mindfulness, as well as significantly higher scores on the Curiosity subscale of the TMS. CONCLUSIONS: These results suggest that the sensory-emotional experiences associated with ASMR may be partially explained by a distinct subset of characteristics associated with mindfulness.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".