Multi-Modal Measurements of Mental Load
This work addresses the problem of real-time mental load estimation for users, but it appears incremental as it builds on existing physiological measurement techniques.
The paper tackled the problem of estimating users' mental load in real-time by analyzing physiological measures such as pupil diameter, blinking rate, heart rate, and heart rate variability, with results including analysis of task performance and response time.
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.