Air pollution is a significant public health concern in many urban environments. A small number of fixed-location monitoring stations provide data that when aggregated and averaged can present a useful picture of an urban environment’s pollution levels. However, this is often insufficient for individuals with acute respiratory health conditions. Wearable air quality monitors offer a promising alternative by enabling localized, real-time pollutant sensing. In this research, such monitors are defined as devices that detect airborne pollutants and contextualise these readings against established health standards provided by governmental or international agencies, thereby supporting informed personal decision-making. The development of wearable AQMs faces key challenges in sensor accuracy, wearability, usability, and public trust. This doctoral research addresses these challenges through the development of an interdisciplinary, user-centred design framework that integrates principles from human-computer interaction (HCI), fashion technology, and environmental sensing. The aim is to bridge the gap between technical feasibility and lived user experience, supporting the development of inclusive, acceptable, and practically deployable solutions for everyday air quality monitoring.