Dynamic competition account of men's perceptions of women's sexual interest.

This work applies a dynamic competition framework of decision making to the domain of sexual perception, which is linked theoretically and empirically to college men's risk for exhibiting sexual coercion and aggression toward female acquaintances. Within a mouse-tracking paradigm, 152 undergraduate men viewed full-body photographs of women who varied in affect (sexual interest or rejection), clothing style (provocative or conservative), and attractiveness, and decided whether each woman currently felt sexually interested or rejecting. Participants' mouse movements were recorded to capture competition dynamics during online processing (throughout the decisional process), and as an index of the final categorical decision (endpoint of the decisional process). Participants completed a measure of Rape-Supportive Attitudes (RSA), a well-established correlate of male-initiated sexual aggression toward female acquaintances. Mixed-effects analyses revealed greater curvature toward the incorrect response on conceptually incongruent trials (e.g., rejecting and dressed provocatively) than on congruent trials (e.g., rejecting and dressed conservatively). This suggests that the two decision alternatives are simultaneously active and compete continuously over time, consistent with a dynamic competition account. Congruence effects also emerged at the decisional endpoint; accuracy was typically lower when stimulus features were incongruent, rather than congruent. RSA potentiated online congruence effects (intermediate states of behavior) but not offline congruence effects (endpoint states of behavior). In a hierarchical regression analysis, online processing indices accounted for unique variability in RSA above and beyond offline accuracy rates. The process-based account of men's sexual-interest judgments ultimately may point to novel targets for prevention strategies designed to reduce acquaintance-initiated sexual aggression on college campuses.

Men's perceptions of women's sexual interest: Effects of environmental context, sexual attitudes, and women's characteristics.

Men's perceptions of women's sexual interest were studied in a sample of 250 male undergraduates, who rated 173 full-body photos of women differing in expressed cues of sexual interest, attractiveness, provocativeness of dress, and the social-environmental context into which the woman's photo had been embedded. Environmental context significantly influenced men's judgments of sexual interest, independently of the affective cues of sexual interest themselves and of provocativeness of dress and attractiveness. Cue usage was moderated by men's risk for sexual aggression, as measured by a rape-myth inventory, with higher-risk men (relative to lower-risk men) relying significantly less on affective cues, relying significantly more on attractiveness, and showing a non-significant tendency to rely more on environmental cues. Men exhibited a moderate degree of insight into individual differences in their cue usage. Analysis of individual differences in cue usage suggested that men's judgments of women's momentary sexual interest varied along two dimensions: (1) men who relied more on affective cues were less likely to rely on women's attractiveness (r = -0.73); and (2) men who were influenced more by provocativeness of dress were also likely to rely more on environmental context (r = 0.49). Results suggest that variation in contextual variables should be included in cognitive-training programs designed to improve the accuracy of men's judgments of women's affective responses. Ultimately, such training programs may prove useful as an adjunct to prevention programs for sexual aggression.

Non-Bayesian noun generalization in 3- to 5-year-old children: probing the role of prior knowledge in the suspicious coincidence effect.

It is unclear how children learn labels for multiple overlapping categories such as "Labrador," "dog," and "animal." Xu and Tenenbaum (2007a) suggested that learners infer correct meanings with the help of Bayesian inference. They instantiated these claims in a Bayesian model, which they tested with preschoolers and adults. Here, we report data testing a developmental prediction of the Bayesian model-that more knowledge should lead to narrower category inferences when presented with multiple subordinate exemplars. Two experiments did not support this prediction. Children with more category knowledge showed broader generalization when presented with multiple subordinate exemplars, compared to less knowledgeable children and adults. This implies a U-shaped developmental trend. The Bayesian model was not able to account for these data, even with inputs that reflected the similarity judgments of children. We discuss implications for the Bayesian model, including a combined Bayesian/morphological knowledge account that could explain the demonstrated U-shaped trend.