We now consider a few possible explanations for our results. First, poor information derived from a brief glimpse might force the brain’s representation of attractiveness to rely on default (prototypical) values. If participants perceived our image set to be less attractive than their default notion of average societal attractiveness, ratings would be higher in the time-constrained presentation, manifesting the glimpse effect. This explanation would suggest that in cases where the glimpse effect occurred, time-constrained attractiveness ratings would be prototypical (towards the middle of the scale). However, as
Figure 2 illustrates, we find that the glimpse effect occurs over the entire rating scale, indicating that observers are not relying on default values.
Another possible explanation for our results involves spatial frequencies. Specifically, because high spatial frequencies may require more time to be processed (
12,
13), fine features that might decrease ratings (e.g., skin blemishes) may be less available in the Brief presentations. This explanation remains a viable possibility, although we would like to suggest a third, non-exclusive possibility as well.
Specifically, we speculatively suggest that the glimpse effect results from the combination of sensory information with the utility of that information (known as a Bayesian risk model, e.g. Geisler and Kersten 2002) (
14). As an example, thirsty humans are more likely to perceive ambiguously-transparent stimuli as transparent, revealing a bias toward seeing water (
15). Relative to non-thirsty humans, thirsty individuals have an increased utility for water; the value of a hit (finding water) increases relative to that of a false-positive (seeing water when it’s not there) thus it behooves a thirsty brain to have a bias towards perceiving transparency. Similarly, the high cost of a miss relative to a false-positive in perceiving sexual intentions might account for males’ over-perception of sexual cues from females (
16).
This type of Bayesian decision-making, aimed at maximizing expected utility rather than maximum likelihood, might likewise explain the glimpse effect. In contrast to the thirst experiment, which left the stimulus unchanged and varied a participant’s utility function, we assumed a constant utility function and varied the stimulus. In our suggested framework, an ideal observer of brief visual input first computes the probability of different attractiveness levels of the stimulus (the posterior probability,
Figure 3A). The observer then considers the utility over each outcome and the costs and benefits of mistakes (
14,
17-
19). To this end, the posterior probability distribution is multiplied by a utility function (
Figure 3B), which specifies the benefits of a decision. It is reasonable to assume that a more attractive mate is more valuable, hence we very generally assume a monotonically increasing function. The result of multiplying the posterior probability distribution by the utility function yields the expected utility of each choice. An ideal observer will choose the interpretation with the highest expected utility (
Figure 3C) instead of simply the maximum probability.
A, A hypothetical posterior probability distribution; Such a distribution represents the probability of different stimuli, given sensory input and prior assumptions about the stimuli in the world; B, An observer can incorporate benefits and costs by multiplying the posterior probability distribution by a utility (or cost) function. For illustration, we assume a linear function which makes mate-seeking utility proportional to attractiveness. The shape of the true utility function is unknown. C, The product of the posterior probability and the utility yields expected utility. An ideal observer chooses the decision with the highest expected utility, in this example biasing the judgement toward higher attractiveness.
Cast in this framework, the glimpse effect can be explained as an increase in perceived attractiveness in situations of limited information because the cost of an upward bias in the initial assessment of attractiveness (further viewing to confirm initial assessments) is low compared to the cost of a false-negative (failing to identify an attractive potential mate).
The large glimpse effect for males rating females is not surprising in light of the finding that attractiveness judgements depend on the sex of the observer (
20), and can presumably be understood in the framework that males place a higher value on physical attractiveness than do females (
21,
22). Although the glimpse effect was smaller for other gender combinations, note that it was significant in all cases (
Figure 2) this result is consistent with the finding that many aspects of attractiveness judgements appear to be independent of gender (
23).
We have demonstrated that in males and females, briefly glimpsed photographs of either sex are judged to be more attractive than photographs viewed with no time constraints. While the glimpse effect may be partially due to asymmetrical processing of low and high special frequencies, we additionally suggest that an evolutionary pressure may underlie the glimpse effect: the cost of a miss is high, whereas a false-positive costs only a confirmatory saccade. Optimal decision making requires not only observation about the maximum likelihood of stimuli but utility over possible outcomes - the result of which might explain the existence of many cognitive biases. In this manner, increased utility over greater attraction upwardly biases the percept of stimuli attractiveness. This Bayesian framework of perception is able to explain the significantly greater magnitude of the effect in the case of males rating female photographs as an increase in males’ utility function over attractiveness in potential female mates.
To further describe the phenomenon, an important next step is to more precisely characterize the uncertainty in each glimpse. Rather than presenting stimuli with two levels of uncertainty (brief central and brief peripheral), subsequent experiments could vary the temporal and spatial uncertainty across a wider range of values. It may also be of interest to see if the glimpse effect varies with subject age.