A Dual-Layered Pythagorean Neutrosophic and Partial Locality Framework for Emotionally Adaptive Furniture Product Design Based on Elderly User Perception
As elderly users interact with furniture, their experiences are shaped by both physical sensations and emotional memory. Traditional product design approaches often focus on direct physical feedback, such as comfort or mobility, but neglect deeper, nonlocal factors like fear, nostalgia, or cultural...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
University of New Mexico
2025-07-01
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| Series: | Neutrosophic Sets and Systems |
| Subjects: | |
| Online Access: | https://fs.unm.edu/NSS/49DualLayered.pdf |
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| Summary: | As elderly users interact with furniture, their experiences are shaped by both physical sensations and emotional memory. Traditional product design approaches often focus on direct physical feedback, such as comfort or mobility, but neglect deeper, nonlocal factors like fear, nostalgia, or cultural attachment. In this paper, we propose a novel dual-layered framework that models elderly perception using Pythagorean Neutrosophic Sets (PNS) and Partial Locality Theory. Each user’s experience is modeled across two dimensions: (1) a local sensory layer representing real-time physical interaction, and (2) a non-local emotional layer reflecting memory and cultural values. These layers are mathematically expressed using PNS and then fused using a locality-based weight. We introduce original metrics such as the Composite Emotional Conflict Index (CECI) and Design Risk Score (DRS) to evaluate design alignment and emotional acceptance. The model is applied to real scenarios involving elderly users and furniture prototypes. By analyzing neutrosophic scores and locality ratios, the proposed framework not only identifies comfort issues but also reveals hidden emotional rejections. Our findings support a more human-centered and adaptive design process for aging populations. |
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| ISSN: | 2331-6055 2331-608X |