Playing Hard-to-get: Manipulating one's Perceived Availability as a Mate

'Playing hard-to-get' is a mating tactic in which people give the impression that they are ostensibly uninterested to get others to desire them more. This topic has received little attention because of theoretical and methodological limitations of prior work. We present four studies drawn from four different American universities that examined playing hard-to-get as part of a supply-side economics model of dating. In Studies 1a (N=100) and 1b (N=491), we identified the tactics that characterize playing hard-to-get and how often men and women enact them. In Study 2 (N=290), we assessed reasons why men and women play hard-to-get along with the personality traits associated with these reasons. In Studies 3 (N=270) and 4 (N=425), we manipulated the rate per week prospective mates went out with people they had just met and assessed participants' willingness to engage in casual sex and serious romantic relationships with prospective mates (Study 3) and the money and time they were willing to invest in prospective mates (Study 4). We frame our results using a sexual economics model to understand the role of perceived availability in mating dynamics

Let’s Get Serious: Communicating Commitment in Romantic Relationships

Are men or women more likely to confess love first in romantic relationships? And how do men and women feel when their partners say “I love you”? An evolutionary–economics perspective contends that women and men incur different potential costs and gain different potential benefits from confessing love. Across 6 studies testing current and former romantic relationships, we found that although people think that women are the first to confess love and feel happier when they receive such confessions, it is actually men who confess love first and feel happier when receiving confessions. Consistent with predictions from our model, additional studies have shown that men's and women's reactions to love confessions differ in important ways depending on whether the couple has engaged in sexual activity. These studies have demonstrated that saying and hearing “I love you” has different meanings depending on who is doing the confessing and when the confession is being made. Beyond romantic relationships, an evolutionary–economics perspective suggests that displays of commitment in other types of relationships—and reactions to these displays—will be influenced by specific, functional biases

An n-sided polygonal model to calculate the impact of cyber security events

This paper presents a model to represent graphically the impact of cyber events (e.g., attacks, countermeasures) in a polygonal systems of n-sides. The approach considers information about all entities composing an information system (e.g., users, IP addresses, communication protocols, physical and logical resources, etc.). Every axis is composed of entities that contribute to the execution of the security event. Each entity has an associated weighting factor that measures its contribution using a multi-criteria methodology named CARVER. The graphical representation of cyber events is depicted as straight lines (one dimension) or polygons (two or more dimensions). Geometrical operations are used to compute the size (i.e, length, perimeter, surface area) and thus the impact of each event. As a result, it is possible to identify and compare the magnitude of cyber events. A case study with multiple security events is presented as an illustration on how the model is built and computed.Comment: 16 pages, 5 figures, 2 tables, 11th International Conference on Risks and Security of Internet and Systems, (CRiSIS 2016), Roscoff, France, September 201