The Role of Attention in Sexual Arousal: Implications for Treatment of Sexual Dysfunction
Bibliographic record
Abstract
The literature on the role of attention in sexual arousal is reviewed, especially that which has implications for noninvasive treatment of sexual dysfunction. Findings suggest that voluntary control of sexual arousal can be achieved through attentional focus on nonsexual cognitions or sexual fantasy. Cognitive biases may direct attention and thus facilitate or impede sexual arousal. Sexual arousal may be influenced by directed attentional focus, and preliminary evidence suggests that mindfulness techniques may result in longer-term changes in attentional focus; these changes, in turn, may improve sexual response. Information-processing models of sexual arousal developed in light of such findings are discussed. This research establishes the central role of attentional processes in facilitating physiological and, especially, subjective sexual arousal. Implementing approaches that capitalize on attentional processes could advance noninvasive treatment of sexual dysfunction. Future avenues of research might investigate how play, mammalian play circuits, and flow states are relevant to sexual response and satisfaction.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".