From monitoring to proactive healthcare: Cases exploring embodiment and AI in smart textile design

Martijn ten Bhömer, Qi Wang*, Ziqian Bai, Mengqi Jiang, Nianchong Qu, Zhen Wu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper examines the integration of smart textiles and artificial intelligence (AI) in healthcare, focusing on the shift from monitoring to proactive interventions. Through a series of case studies, it identifies generic design challenges and opportunities for proactive healthcare applications and explores design qualities within Smart Textiles, Data & AI, and Embodiment to guide future practices. Findings emphasize the strategic integration of sensors within textile structures, enabling embodied feedback mechanisms, enhancing user engagement and acceptance. Additionally, the study underscores how participatory design approaches can foster long-term health behaviors, reduce burdens on healthcare systems, and enhance patient autonomy by actively involving users and healthcare professionals in the design process. While this work identifies new avenues for proactive and holistic healthcare solutions, it also addresses challenges related to AI-driven data handling, privacy, and ethical concerns, reinforcing the need for transparent, secure, and ethically responsible practices as these technologies advance.

Original languageEnglish
JournalDesign Journal
DOIs
Publication statusE-pub ahead of print - 2025

Keywords

  • artificial intelligence (AI) in healthcare
  • embodied interaction
  • proactive healthcare
  • sensor integration
  • Smart textiles

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