Eye-Tracking for Cognitive Load Assessments in a Manufacturing Environment: A Feasibility Study

Maintaining cognitive load that is neither too high nor too low is key for workplace safety and efficiency. Cognitive load assessment research is often conducted in highly controlled laboratory environments that, by nature, come short of fully recreating the everyday manufacturing floors. In this feasibility study we explore the viability of adopting eye-tracker for assessing workers’ cognitive load as they complete seatbelt manufacturing assemblies in a factory workplace. Following the industrial partner’s availability, four assembly workers were selected for this feasibility study. They wore a portable Pupil Labs eye-tracker while completing seatbelt assembly tasks. Mental task demand was measured using subjective ratings. Results showed that the quality of the eye-tracking data was high in spite of the highly dynamic full-body motions required to complete assemblies. Also, no evidence was found that the presence of the eye-tracker interfered with task completion. Tasks deemed more mentally demanding were associated with greater pupil size and blink rate, a pattern consistent with laboratory research. Despite this study’s limitations, including its small sample size, these findings represent preliminary evidence for the adoption of eye-tracking metrics for conducting cognitive ergonomics assessments on factory floors.

Authors

Institutions

Publication Details

Journal
Occupational Health
Published
2026-10-15
DOI
https://doi.org/10.3390/occuphealth1040046
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Eye-Tracking for Cognitive Load Assessments in a Manufacturing Environment: A Feasibility Study

Frida Graf, Francesco N. Biondi, Praneet Sahoo, Angie Lafferty et al.
Occupational Health
Human-Automation Interaction and Safety
article

Eye-Tracking for Cognitive Load Assessments in a Manufacturing Environment: A Feasibility Study

Frida Graf, Francesco N. Biondi, Praneet Sahoo, Angie Lafferty, Rodney Demars
article en

Abstract

Maintaining cognitive load that is neither too high nor too low is key for workplace safety and efficiency. Cognitive load assessment research is often conducted in highly controlled laboratory environments that, by nature, come short of fully recreating the everyday manufacturing floors. In this feasibility study we explore the viability of adopting eye-tracker for assessing workers’ cognitive load as they complete seatbelt manufacturing assemblies in a factory workplace. Following the industrial partner’s availability, four assembly workers were selected for this feasibility study. They wore a portable Pupil Labs eye-tracker while completing seatbelt assembly tasks. Mental task demand was measured using subjective ratings. Results showed that the quality of the eye-tracking data was high in spite of the highly dynamic full-body motions required to complete assemblies. Also, no evidence was found that the presence of the eye-tracker interfered with task completion. Tasks deemed more mentally demanding were associated with greater pupil size and blink rate, a pattern consistent with laboratory research. Despite this study’s limitations, including its small sample size, these findings represent preliminary evidence for the adoption of eye-tracking metrics for conducting cognitive ergonomics assessments on factory floors.

Occupational HealthVol. 1(4)
University of Utah (US), Atlas Copco (Sweden) (SE), University of Windsor (CA)
Decent work and economic growth, Good health and well-being
Openalex Percentile: Top 8%
Human-Automation Interaction and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.