Domain · Areas of Expertise

Cognitive Ergonomics

Mental workload, decision-making, and human–system interaction - the invisible half of ergonomics.

Where physical ergonomics asks "does this posture hurt the body," cognitive ergonomics asks "does this task overload the mind." These tools implement the standard measures used to quantify mental workload, interface response time, and detection performance in industrial and control-room settings.

Hands-on Tools

Measure the mental side of the task

🧠 Raw NASA-TLX scoring

NASA-TLX Workload Estimator

Mental Workload

Raw TLX (unweighted average) across the six standard subscales - a fast, validated way to quantify perceived task workload.

Mental Demand (0–100) Physical Demand (0–100) Temporal Demand (0–100) Performance (0=perfect, 100=failure) Effort (0–100) Frustration (0–100)

Enter subscale ratings and calculate.

⚡ Movement-time prediction

Fitts’s Law Movement Time

Interface Design

Predicts time to reach a target (control, button, component bin) from distance and target width - used for control-panel and workstation layout.

Distance to Target, D (cm) Target Width, W (cm)

Enter distance and width.

🎯 d′ sensitivity & bias

Signal Detection (d′ / Criterion)

Vigilance & Inspection

Separates true detection sensitivity from response bias in inspection or monitoring tasks - hit rate alone can be misleading.

Hit Rate (0–1) False Alarm Rate (0–1)

Enter hit and false-alarm rates.

Applied Focus

Where this shows up in my teaching & research

Cognitive ergonomics threads through my Ergonomics and Business Analytics courses, and complements the physical-ergonomics fieldwork behind my ISM/SEM and ANP-DEMATEL studies - where workload and decision factors sit alongside posture and force as risk variables.

Teaching

Human–System Interaction in Operations Courses

Mental workload and interface-design principles are built into how I frame control-panel and dashboard case studies for UG/PG Operations and Business Analytics students.

Research Adjacent

Workload as a Hidden Variable in Ergonomic Modelling

In ergonomic-variable studies (see the Ergonomics case studies), cognitive load and decision fatigue are treated as latent factors alongside posture and force - this domain is where that lens comes from.