Research Priorities for Autonomous Sensory Meridian Response: An Interdisciplinary Delphi Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Autonomous Sensory Meridian Response (ASMR) is a multisensory experience most often associated with feelings of relaxation and altered consciousness, elicited by stimuli which include whispering, repetitive movements, and close personal attention. Since 2015, ASMR research has grown rapidly, spanning disciplines from neuroscience to media studies but lacking a collaborative or interdisciplinary approach. To build a cohesive and connected structure for ASMR research moving forwards, a modified Delphi study was conducted with ASMR experts, practitioners, community members, and researchers from various disciplines. Ninety-eight participants provided 451 suggestions for ASMR research priorities which were condensed into 13 key areas: (1) Definition, conceptual clarification, and measurement of ASMR; (2) Origins and development of ASMR; (3) Neurophysiology of ASMR; (4) Understanding ASMR triggers; (5) Factors affecting the likelihood of experiencing/eliciting ASMR; (6) ASMR and individual/cultural differences; (7) ASMR and the senses; (8) ASMR and social intimacy; (9) Positive and negative consequences of ASMR in the general population; (10) Therapeutic applications of ASMR in clinical contexts; (11) Effects of long-term ASMR use; (12) ASMR platforms and technology; (13) ASMR community, culture, and practice. These were voted on by 70% of the initial participant pool using best/worst scaling methods. The resulting agenda provides a clear map for ASMR research to enable new and existing researchers to orient themselves towards important questions for the field and to inspire interdisciplinary collaborations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it