# Multi-Modal Measurements of Mental Load

## TL;DR

This paper explores how various physiological signals like pupil size, blinking, and heart metrics relate to mental load, aiming to develop real-time estimation methods through an experiment involving language comprehension tasks.

## Contribution

It introduces an experimental approach to analyze multiple physiological measures for assessing mental load during cognitive tasks.

## Key findings

- Physiological measures correlate with task difficulty
- Response times vary with mental load levels
- Preliminary analysis shows potential for real-time mental load estimation

## Abstract

This position paper describes an experiment conducted to understand the relationships between different physiological measures including pupil Diameter, Blinking Rate, Heart Rate, and Heart Rate Variability in order to develop an estimation of users' mental load in real-time (see Sidebar 1). Our experiment involved performing a task to spot a correct or an incorrect word or sentence with different difficulties in order to induce mental load. We briefly present the analysis of task performance and response time for the items of the experiment task.