Graphic Designer | UI/UX Designer
YOUR WINGBUDDY
Concept
A reflection of your dating patterns, romantic interests and much more.
A dating app that uses Natural Language Processing and Machine Learning to comprehend and analyze our texting patterns and communication style between other users in the app. Using the collected data, the compatibility between two users is calculated and displayed to the users in the app.
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The criteria that are used to calculate the overall compatibility are;
Emotional compatibility
Attachment style compatibility
Common interests
Lifestyle compatibility
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This special feature allows you to get to know which ‘match’ on the app is most compatible for you. It also gives you insight on your texting patterns and records your preferences to make improved compatibility calculations.
What is Data Mirror?
This project is done based on the concept of DATA MIRROR. Now, what is data mirror? Let me explain it in the context of this project.
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Using the data from our communication style, texting patterns and other activities performed in the app, a synopsis about our relationship patterns and compatibility with each other user is displayed to us. A numerical quantitative result is presented to us. This is data mirror.
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It also allows us to see our positive and negative behavior. A red or green flag icon is displayed against the messages in the chat if these extreme characteristics are detected by the AI using Natural Language Processing.
It helps us to understand our relationship patterns, make healthy decisions and navigate our dating lives to find the most compatible partner.
Research
“Anxious and avoidant attachment styles affected resilience, and this effect was fully mediated by psychological tendencies associated with romantic relationships. The findings reveal the necessity to consider the psychological tendencies associated with romantic relationships in studies aimed at increasing resilience.” (Adil Kaval et al., 2022)
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“...attachment styles are known to affect many dimensions from choosing a romantic partner to conducting the relationship” (Bender and Ingram, 2018).
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Source: A Track from Attachment to Resilience During the Covid 19 Pandemic: Romantic Relationship Tendency.
“Findings from this study also address Millennials as the “Me Generation” and as resistance to giving up one’s freedom and independence to dedicate their lives to a romantic partner” (Kate McGuire, 2015).
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Tessina (2008) states that “many Millennials have grown up in divorced or single parent households, so they have little experience of what good marriages look like” (p.1).
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Source: Millennials' perceptions of how their capacity for romantic love developed and manifests
Data Sources for Determining Compatibility
From the Align App:
User profiles (self inputted data)
Messages between the users (data recorded by AI)
Actions performed in the app (unmatching someone, seenzoning, late replies, texting and activity patterns etc)
From scientific research:
AI uses data from scientifically proven theories and statistics from research related to romantic relationships.
It uses machine learning to learn to accurately detect behavioural patterns from communication between users and other activities that the user performs in the app.
