Using AI Techniques in Body Language Analysis to Customize Interior Design According to Enneagram Types

Document Type : Original Article

Authors

1 faculty of applied arts department of interior design & furniture ,6 Oct.university

2 Faculty of Applied Arts-Helwan University

3 Interior Design and Furniture department- Faculty of applied arts, Helwan University

Abstract

With the rapid developments in technology and artificial intelligence, the ability to understand and analyze human behavior has become more precise than ever before. Analyzing body language, one of the most critical means for understanding the psychological and behavioral aspects of individuals, stands out as a significant achievement of integrating psychological and behavioral sciences with modern technology. This research explores the Enneagram theory, an effective tool for personality analysis, as it combines deep psychological foundations with diverse behavioral models. The study aims to identify Enneagram patterns by using artificial intelligence to analyze body language and link it to these patterns, ultimately designing interior environments that align with them.



The research focuses on addressing the challenges associated with traditional methods of identifying personality patterns, which often suffer from a lack of accuracy and cultural biases. By employing artificial intelligence to analyze facial expressions and body movements with high precision, the study seeks to demonstrate how this technology can be integrated into fields such as architecture, interior design, and furniture manufacturing to enhance quality of life and psychological comfort. Additionally, the research discusses the necessary tools for achieving this integration, including neural networks and deep learning techniques for analyzing visual and audio data. The study concludes that using AI to analyze body language provides a deeper understanding of individuals' psychological and emotional needs, contributing to the design of indoor environments that better accommodate those needs.

Research problem

Traditional methods for identifying personality types lack accuracy due to lengthy tests and bias. Artificial intelligence can analyze body language, link it to Enneagram types, and design environments that meet emotional and psychological needs

.Research hypotheses

The research assumes that

1- AI can accurately analyze body language and link it to the nine Enneagram personality types. This analysis enables the customization of designs to meet individuals' emotional and psychological needs, thereby enhancing the quality of life in indoor environments.

Research Importance

Combining AI, body language analysis, and Enneagram theory in interior design creates innovative solutions to enhance quality of life by understanding psychological and emotional needs, thus improving mental health.

research aims

Using AI to analyze body language and link it to Enneagram types to customize designs that meet individual needs

Research Methodology

Using the descriptive analytical approach by analyzing body language as well as analyzing enneagram types,

The deductive approach to inferring the body language of each Enneagram type

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