A Dual-Layered Pythagorean Neutrosophic and Partial Locality Framework for Emotionally Adaptive Furniture Product Design Based on Elderly User Perception

Abstract

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, non
local 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. 

DOI: 10.5281/zenodo.15843781