Three interesting posters from the EHBEA 2013 Conference. (European Human Behaviour & Evolution Association)
Maintenance of genetic variation in human personality.
MENSTRUAL CYCLE EFFECTS ON ATTITUDES TOWARDS KISSING ROMANTIC PARTNERS.
To friend zone or start dating – what makes a perfect partner?
People choose not only their partners but all their close ones according to similarity to themselves and a "good personality" is valued in everyone, but it is still high reproductive potential that makes a perfect partner.
Please remember: The 3 milestone discoveries of the 2001 - 2010 decade for Theories of Romantic Relationships Development are:
Several studies showing contraceptive pills users make different mate
choices, on average, compared to non-users. "Only short-term but not
long-term partner preferences tend to vary with the menstrual cycle"
People often report partner preferences that are not compatible with
their choices in real life. (Behavioural recommender systems or other
system that learns your preferences are useless)
What is important in attracting people to one another may not be
important in making couples happy. Compatibility is all about a high
level on personality similarity between prospective mates for long term
mating with commitment.
Also there is a similarity trilogy between genetic, mate choice and personality based recommender systems.
WorldWide, there are over 5,000 -five thousand- online dating sites
but no one is using the 16PF5 (or similar) to assess personality of its members!
but no one calculates similarity with a quantized pattern comparison method!
but no one can show Compatibility Distribution Curves to each and every of its members!
but no one is scientifically proven!
The only way to revolutionize the Online Dating Industry
is using the 16PF5 normative personality test, available in different
languages to assess personality of members, or a proprietary test with
exactly the same traits of the 16PF5 and expressing compatibility with eight decimals
(needs a quantized pattern comparison method, part of pattern
recognition by cross-correlation, to calculate similarity between