Comparison of concurrent cognitive load measures during n-back tasks.
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| Title: | Comparison of concurrent cognitive load measures during n-back tasks. |
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| Authors: | Pillai, Prarthana1 pillaip@uwindsor.ca, Balasingam, Balakumar1 singam@uwindsor.ca, Jaekel, Arunita2 arunita@uwindsor.ca, Biondi, Francesco N.3 fbiondi@uwindsor.ca |
| Source: | Applied Ergonomics. May2024, Vol. 117, pN.PAG-N.PAG. 1p. |
| Subjects: | Cognitive load, Eye tracking, Human-computer interaction, Classroom environment, Medical care |
| Abstract: | The cognitive load experienced by humans is an important factor affecting their performance. Cognitive overload or underload may result in suboptimal human performance and may compromise safety in emerging human-in-the-loop systems. In driving, cognitive overload, due to various secondary tasks, such as texting, results in driver distraction. On the other hand, cognitive underload may result in fatigue. In automated manufacturing systems, a distracted operator may be prone to muscle injuries. Similar outcomes are possible in many other fields of human performance such as aviation, healthcare, and learning environments. The challenge with such human-centred applications is that the cognitive load is not directly measurable. Only the change in cognitive load is measured indirectly through various physiological, behavioural, performance-based and subjective means. A method to objectively assess the performance of such diverse measures of cognitive load is lacking in the literature. In this paper, a performance metric for the comparison of different measures to determine the cognitive workload is proposed in terms of the signal-to-noise ratio. Using this performance metric, several measures of cognitive load, that fall under the four broad groups were compared on the same scale for their ability to measure changes in cognitive load. Using the proposed metrics, the cognitive load measures were compared based on data collected from 28 participants while they underwent n -back tasks of varying difficulty. The results show that the proposed performance evaluation method can be useful to individually assess different measures of cognitive load. [ABSTRACT FROM AUTHOR] |
| Copyright of Applied Ergonomics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 175640338 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Comparison of concurrent cognitive load measures during n-back tasks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Pillai%2C+Prarthana%22">Pillai, Prarthana</searchLink><relatesTo>1</relatesTo><i> pillaip@uwindsor.ca</i><br /><searchLink fieldCode="AR" term="%22Balasingam%2C+Balakumar%22">Balasingam, Balakumar</searchLink><relatesTo>1</relatesTo><i> singam@uwindsor.ca</i><br /><searchLink fieldCode="AR" term="%22Jaekel%2C+Arunita%22">Jaekel, Arunita</searchLink><relatesTo>2</relatesTo><i> arunita@uwindsor.ca</i><br /><searchLink fieldCode="AR" term="%22Biondi%2C+Francesco+N%2E%22">Biondi, Francesco N.</searchLink><relatesTo>3</relatesTo><i> fbiondi@uwindsor.ca</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Ergonomics%22">Applied Ergonomics</searchLink>. May2024, Vol. 117, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cognitive+load%22">Cognitive load</searchLink><br /><searchLink fieldCode="DE" term="%22Eye+tracking%22">Eye tracking</searchLink><br /><searchLink fieldCode="DE" term="%22Human-computer+interaction%22">Human-computer interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Classroom+environment%22">Classroom environment</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+care%22">Medical care</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The cognitive load experienced by humans is an important factor affecting their performance. Cognitive overload or underload may result in suboptimal human performance and may compromise safety in emerging human-in-the-loop systems. In driving, cognitive overload, due to various secondary tasks, such as texting, results in driver distraction. On the other hand, cognitive underload may result in fatigue. In automated manufacturing systems, a distracted operator may be prone to muscle injuries. Similar outcomes are possible in many other fields of human performance such as aviation, healthcare, and learning environments. The challenge with such human-centred applications is that the cognitive load is not directly measurable. Only the change in cognitive load is measured indirectly through various physiological, behavioural, performance-based and subjective means. A method to objectively assess the performance of such diverse measures of cognitive load is lacking in the literature. In this paper, a performance metric for the comparison of different measures to determine the cognitive workload is proposed in terms of the signal-to-noise ratio. Using this performance metric, several measures of cognitive load, that fall under the four broad groups were compared on the same scale for their ability to measure changes in cognitive load. Using the proposed metrics, the cognitive load measures were compared based on data collected from 28 participants while they underwent n -back tasks of varying difficulty. The results show that the proposed performance evaluation method can be useful to individually assess different measures of cognitive load. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Applied Ergonomics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.apergo.2024.104244 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Cognitive load Type: general – SubjectFull: Eye tracking Type: general – SubjectFull: Human-computer interaction Type: general – SubjectFull: Classroom environment Type: general – SubjectFull: Medical care Type: general Titles: – TitleFull: Comparison of concurrent cognitive load measures during n-back tasks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pillai, Prarthana – PersonEntity: Name: NameFull: Balasingam, Balakumar – PersonEntity: Name: NameFull: Jaekel, Arunita – PersonEntity: Name: NameFull: Biondi, Francesco N. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 00036870 Numbering: – Type: volume Value: 117 Titles: – TitleFull: Applied Ergonomics Type: main |
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