Visual Attention to Sexual Stimuli in Women With Clinical, Subclinical, and Normal Sexual Functioning: An Eye-Tracking Study
Bibliographic record
Abstract
BACKGROUND: Visual attention to sexual stimuli is an important means to facilitate sexual arousal and is thereby relevant for healthy sexual functioning. Experimental studies suggest that sexual dysfunction is associated with less attention toward sexual stimuli. AIM: The goal of this study was to use an eye-tracking-based free-viewing paradigm to investigate whether women in the clinical range of sexual function attend to a genital area in visual sexual stimuli differently than women with subclinical sexual function or those with normal sexual functioning. METHODS: = 27.77, SD = 8.00, range = 19-54) with clinical (n = 30), subclinical (n = 23), and normal (n = 16) levels of sexual functioning watched a series of 10 pictures depicting heterosexual couples during vaginal intercourse while their eye movements were recorded. Each picture was presented twice-once with a distracting object (eg, a to-do list or household appliance) present in the picture and once without-for 8 seconds, each. OUTCOMES: 5 eye-tracking measures indicative of different aspects of initial and sustained attention were analyzed. RESULTS: As hypothesized, 3 out of 5 eye-tracking measures (ie, first fixation duration, number of first fixations, and total fixation duration) indicated that women in the clinical group attended less to the genital area in the pictures than women with normal sexual functioning. For 2 indices (ie, first fixation duration and total fixation duration), women with subclinical (vs normal) sexual functioning also attended less to the genital area. In contrast to our hypothesis, the presence of a distracting object did not influence attention to the genital area in either of the sexual function groups. CLINICAL IMPLICATIONS: This study provides further evidence of the role of attentional biases in sexual dysfunction in women. STRENGTHS AND LIMITATIONS: Eye-tracking methodology allows for a continuous measurement of visual attention; this is one of the first studies using this methodology to assess differences in visual attention in women with and without sexual dysfunction. However, the cross-sectional nature of this study prevents causal interpretation of findings. CONCLUSION: Future studies should use experimental paradigms to determine the causal role of visual attention for the development or maintenance of sexual dysfunction. Velten J, Milani S, Margraf J, et al. Visual Attention to Sexual Stimuli in Women With Clinical, Subclinical, and Normal Sexual Functioning: An Eye-Tracking Study. J Sex Med 2021;18:144-155.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".