Open Access

A Human-Centered Analytical Framework for Investigating Daily Interactions with Multimorphic Textile-Based Artifacts

4 Department of Computer Science and Intelligent Systems University of Tokyo Tokyo, Japan

Abstract

The emergence of multimorphic textile-based artifacts has transformed the conceptual and functional boundaries of interactive design, material experience, and human-centered technological systems. Unlike static textile products, multimorphic textile artifacts exhibit adaptive, responsive, and performative characteristics that reshape user interaction patterns in everyday contexts. This study proposes a human-centered analytical framework for investigating daily interactions with multimorphic textile-based artifacts by integrating theories from posthumanism, performativity, material agency, participatory design, emotional interaction, and experiential material studies. The research synthesizes existing scholarly work on textile performativity, wearable systems, adaptive materials, and user experience to construct a comprehensive analytical structure capable of evaluating how users interpret, negotiate, and emotionally engage with dynamic textile systems in domestic and social environments. The paper adopts a qualitative research methodology grounded in thematic synthesis and conceptual modeling based exclusively on the provided literature. Findings indicate that multimorphic textile artifacts function not merely as passive objects but as active mediators influencing emotional attachment, behavioral adaptation, sensory interpretation, and embodied interaction. The study further identifies critical tensions between usability and ambiguity, autonomy and control, and emotional engagement and technological complexity. The proposed framework contributes to interaction design research by establishing a multidisciplinary model for understanding evolving textile-human relationships within intelligent material ecologies. The study concludes by emphasizing the importance of adaptive materiality, experiential responsiveness, and participatory interpretation in future textile interaction systems.

How to Cite

Dr. Haruto Nakamura. (2026). A Human-Centered Analytical Framework for Investigating Daily Interactions with Multimorphic Textile-Based Artifacts. Frontiers in Emerging Artificial Intelligence and Machine Learning, 3(04), 11–20. Retrieved from https://irjernet.com/index.php/feaiml/article/view/399

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