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ZENODO
Software . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
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Essay2Dating: A Friction-Centric, Non-Visual Social Platform for Intentional Digital Intimacy

Authors: SHARMA, SANIDHYA;

Essay2Dating: A Friction-Centric, Non-Visual Social Platform for Intentional Digital Intimacy

Abstract

Essay2Dating is an experimental social software system that challenges dopamine-driven, visual-first interaction models prevalent in modern dating platforms. The system removes profile photos entirely and replaces them with long-form narrative essays, enforcing intentional friction as a core UX and architectural principle. The platform is implemented using a serverless Firebase backend with Firestore document modeling, authentication gating, and strict security rules to protect user vulnerability. On the frontend, Essay2Dating employs Intersection Observer–based slow-scroll mechanics and a minimalist design system to disrupt impulsive consumption patterns and promote deep cognitive engagement. This repository contains the complete source code and research documentation for Phase I of the project. Essay2Dating is positioned as a research artifact in Human–Computer Interaction (HCI) and Slow-Tech design, demonstrating how full-stack engineering choices can embody ethical stances on attention, intimacy, and human connection.

Keywords

Human-Computer Interaction, Intentional Friction, Ethical UX, Digital Intimacy, Slow Technology, Narrative Interfaces, Serverless Architecture

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average