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January 3, 2024
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Writing Pressure Characterization Machine

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Analyzing handwriting pressure for personality inference.
Writing Pressure Characterization Machine website
GPT welcome message: Hello! Share a handwritten sample, and I'll analyze its strokes for personality insights.
Sample prompts:
What can you tell about this handwriting?
Analyze this handwritten note for personality traits.
What does the pressure in this handwriting suggest?
Can you interpret this person's character from their writing?
この筆跡からこの人の性格を教えてください。
この手書きのメモから性格の特徴を分析して下さい。
この筆跡の筆圧は何を示唆していますか?

Overview

Generated by ChatGPT

The Writing Pressure Characterization Machine is a GPT that analyzes handwriting to infer personality traits. It utilizes handwriting analysis, specifically examining the level of pressure applied in non-digital handwriting, to make educated character inferences.

This tool performs intelligent handwriting pressure characterization, providing unique personal insights based on the handwriting shared by the user. Whether you're curious about what your own handwriting might suggest about your character, or you're interested in the potential insights from someone else's handwriting, this tool caters to that need.

The GPT interacts naturally with users, asking them to share a handwritten sample for analysis and providing them with interpretation of the characteristics from the handwriting.

This tool is of particular use to individuals who are keen on understanding themselves or others better through unusual and detailed means. However, please note that the insights provided should be used as a fun and interesting metric and not as a definitive personality indicator.

Every analyzed handwriting is a journey of discovery, unveiling traits that may not be overtly visible. This GPT is presented in both English and Japanese, with the ability to provide prompts and analyze handwriting in both languages.

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Releases

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Writing Pressure Characterization Machine icon
Initial release
October 18, 2023
Initial release of Writing Pressure Characterization Machine.
AuthorT.OKADA

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