When Instagram turned fashion into a show sport, and social media influencers really started to catch the attention of the public, the more intense the fashion content got hit be liked.
We suddenly have a need to sift through all these shiny things, turn fashion back into a personal choice and end up stressed out of having to choose too many options.
Dedication implies a desire to perform tasks well, to uphold the rules, and to seriously perform obligations to others. Extroversion is based on whether an individual is motivated by being alone or with others. Comfort discloses how to motivate a person to be cooperative and loved by everyone. Sensitivity measures the person’s emotional stability.
All these personality traits are reflected in each person’s aesthetic, and it is the relationship between personal personality and aesthetic trends that underlie fashion psychology.
For example, you are looking for a dress to attend a friend’s wedding in Cebu. The time to stand before countless choices, labor dragging and searching on google has ended. An e-commerce platform powered by deep-learning artificial intelligence models is probably also smart enough to personalize the shopping experience and calculate contextual, emotional, and personality traits.
When personalization through AI support is subtle enough, users don’t even know that their shopping experience is personalized. Users see better products and smarter websites, feel more inspired, and quickly get the products they want.
The fashion industry, however, must determine that this type of online personalization will require a lot of data, not to mention that consumers must be accustomed to providing data and staying logged in. Retailers will have to commit to being responsible for the data, while consumers must accept to provide additional information to enhance their experience.
Understanding fashion psychology will also change the way articles reach readers and save journals from the current recession. Content about fashion will become more personal, less redundant.