An assessment of the reaction time of physiological signals to changes in cognitive load
Chaychi Maleki, Arash (2022)
2022
Master's Programme in Human-Technology Interaction
Informaatioteknologian ja viestinnän tiedekunta - Faculty of Information Technology and Communication Sciences
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Hyväksymispäivämäärä
2022-06-07
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202204223428
https://urn.fi/URN:NBN:fi:tuni-202204223428
Tiivistelmä
In recent years, as the number of applications that require attention and quality of performance have increased and modern professions are shifting from physical demands to mental workload, the importance of cognitive load assessment has also increased. Out of the methods that can be used to assess cognitive load, using physiological signals is the only method that can be used in real-time, while a given task is being done. An important aspect of real-time cognitive load assessment based on physiological signals, is the reaction time of physiological signals on the cognitive load.
This objective of this study is to find the reaction time of two pupillary measure, Index of Pupillary Activity (IPA) and Low-High Index of Pupillary Activity, to changes in cognitive load. The study relies on experimental research in order to investigate this. In this research, while an arithmetic task is used to induce different levels of cognitive load to the test subjects, and eye tracker is used to track changes in their pupil size. Results are used to answer the research question.
The findings indicate that IPA reacts to changes in cognitive load after an average of 13.6 ± 0.92 seconds. The results also indicated that this time is different whether cognitive load is decreasing or increasing. Meanwhile, the study also found that LHIPA was not successful in assessing cognitive load for the designed arithmetic task.
The results of the study can be used in designing systems that utilize multiple physiological signals in order to assess cognitive load in real-time and adjust the difficulty of the task dynamically to maintain performance.
This objective of this study is to find the reaction time of two pupillary measure, Index of Pupillary Activity (IPA) and Low-High Index of Pupillary Activity, to changes in cognitive load. The study relies on experimental research in order to investigate this. In this research, while an arithmetic task is used to induce different levels of cognitive load to the test subjects, and eye tracker is used to track changes in their pupil size. Results are used to answer the research question.
The findings indicate that IPA reacts to changes in cognitive load after an average of 13.6 ± 0.92 seconds. The results also indicated that this time is different whether cognitive load is decreasing or increasing. Meanwhile, the study also found that LHIPA was not successful in assessing cognitive load for the designed arithmetic task.
The results of the study can be used in designing systems that utilize multiple physiological signals in order to assess cognitive load in real-time and adjust the difficulty of the task dynamically to maintain performance.