Wearable or Beware-able? The Physiological Cost of Quantifying Every Beat, Step, and Breath

Abstract

The wearable technology market has grown exponentially all over the world, and the devices are promising access to personal physiological data never before. But behind the beauty of self-quantification is a complicated terrain of physiological, psychological, and economic trade offs. This article critically discusses how the advantages of perpetual biometric observation are more than what we call the physiological cost the unseen costs of misleading information, algorithmic anxiety and health-related technology which may negatively affect wellbeing. By reviewing recent validation articles, such as that by Kaya et al. (2026) that wearable signals alone can only reach 77.8% accuracy in distinguishing between psychological stress and rest, and systematic reviews showing that mean absolute percentage errors of wearable sensors are 12.48 and 30.70 in heart rate and energy expenditure respectively (Carrier et al., 2024), we claim that The article summarises 183 systematic reviews on three use cases (Palmer et al., 2025), outlines key research gaps and suggests a framework of conscious interactions with wearable technology that puts user agency over algorithmic power.

Keywords: Wearable technology, physiological monitoring, stress detection, data accuracy, algorithmic anxiety, health behaviour change, quantified self.