Vision: Preventing Tech-related Physiological Health Issues using Commodity Wearables

The pervasive use of technology has led to a rise in tech-related health issues such as tech neck, eye strain, carpel tunnel syndrome, and hearing loss. These issues stem from prolonged and improper device usage, leading to long-term physiological strain. We envision TechWell, a wearable-driven ergonomic assistant designed to proactively mitigate these health issues through real-time multimodal sensing and AI-driven interventions. By leveraging commodity wearables such as smart glasses, smartwatches, and earables, TechWell integrates context-aware sensing, machine learning, and personalized feedback mechanisms to provide an adaptive approach to digital ergonomics. This paper outlines our vision for TechWell, exploring key research directions and technical challenges in realizing this vision. We aim to embed ergonomic intelligence into everyday technology use.

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Publication Details

Published
2025-05-03
DOI
https://doi.org/10.1145/3722570.3726883
Primary Topic
Ergonomics and Musculoskeletal Disorders
Type
article
Field-Weighted Citation Impact
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article

Vision: Preventing Tech-related Physiological Health Issues using Commodity Wearables

Bhawana Chhaglani, Sarmistha Sarna Gomasta, Prashant Shenoy
Ergonomics and Musculoskeletal Disorders
article

Vision: Preventing Tech-related Physiological Health Issues using Commodity Wearables

Bhawana Chhaglani, Sarmistha Sarna Gomasta, Prashant Shenoy
article en

Abstract

The pervasive use of technology has led to a rise in tech-related health issues such as tech neck, eye strain, carpel tunnel syndrome, and hearing loss. These issues stem from prolonged and improper device usage, leading to long-term physiological strain. We envision TechWell, a wearable-driven ergonomic assistant designed to proactively mitigate these health issues through real-time multimodal sensing and AI-driven interventions. By leveraging commodity wearables such as smart glasses, smartwatches, and earables, TechWell integrates context-aware sensing, machine learning, and personalized feedback mechanisms to provide an adaptive approach to digital ergonomics. This paper outlines our vision for TechWell, exploring key research directions and technical challenges in realizing this vision. We aim to embed ergonomic intelligence into everyday technology use.

University of Massachusetts Amherst (US)
Zero hunger
Openalex Percentile: Top 90%
Ergonomics and Musculoskeletal Disorders
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Vision: Preventing Tech-related Physiological Health Issues using Commodity Wearables — Bhawana Chhaglani, Sarmistha Sarna Gomasta, et al. · (2025) | TGRS Research Map | TGRS