Toward a Subjective Mental Workload Measure.

Saved in:
Bibliographic Details
Title: Toward a Subjective Mental Workload Measure.
Language: English
Authors: Yeung, Alexander Seeshing, Lee, Cynthia Fong King, Pena, Isabel Maria, Ryde, Jeni
Peer Reviewed: N
Page Count: 16
Publication Date: 2000
Document Type: Reports - Research
Speeches/Meeting Papers
Descriptors: Cognitive Processes, College Students, Construct Validity, Foreign Countries, Higher Education, Prediction
Geographic Terms: Australia, Hong Kong
Abstract: The lack of a conceptually and psychometrically strong measure of human mental workload has undermined interpretations of research based on cognitive load theory. Applying a confirmatory factor analysis approach to construct validation, a Subjective Mental Workload Survey was developed with four distinct subscales: Difficulty, Incompetence, Affect, and Effort. Participants were 52 English-speaking students in Australia and 12 Chinese-speaking students in Hong Kong. For these participants, there were 383 records of scores. Although Difficulty typically used in previous cognitive load research, reasonably well reflected cognitive load, a Workload measure incorporating Difficulty, Incompetence, and Effort proved to be a better predictor of cognitive load. This Workload factor is applicable to analysis of group differences using statistical procedures such as analysis of variance, a finding that shows that tasks more likely to overload working memory score higher in Workload estimates. An appendix contains a list of variables used in the study and alpha reliability estimates. (Contains 50 references.) (Author/SLD)
Entry Date: 2001
Accession Number: ED446117
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED446117
    Name: ERIC Full Text
    Category: fullText
    Text: Full Text from ERIC
Header DbId: eric
DbLabel: ERIC
An: ED446117
AccessLevel: 3
PubType: Report
PubTypeId: report
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Toward a Subjective Mental Workload Measure.
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Yeung%2C+Alexander+Seeshing%22">Yeung, Alexander Seeshing</searchLink><br /><searchLink fieldCode="AR" term="%22Lee%2C+Cynthia+Fong+King%22">Lee, Cynthia Fong King</searchLink><br /><searchLink fieldCode="AR" term="%22Pena%2C+Isabel+Maria%22">Pena, Isabel Maria</searchLink><br /><searchLink fieldCode="AR" term="%22Ryde%2C+Jeni%22">Ryde, Jeni</searchLink>
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: N
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 16
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2000
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Reports - Research<br />Speeches/Meeting Papers
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Cognitive+Processes%22">Cognitive Processes</searchLink><br /><searchLink fieldCode="DE" term="%22College+Students%22">College Students</searchLink><br /><searchLink fieldCode="DE" term="%22Construct+Validity%22">Construct Validity</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction%22">Prediction</searchLink>
– Name: Subject
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Australia%22">Australia</searchLink><br /><searchLink fieldCode="DE" term="%22Hong+Kong%22">Hong Kong</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The lack of a conceptually and psychometrically strong measure of human mental workload has undermined interpretations of research based on cognitive load theory. Applying a confirmatory factor analysis approach to construct validation, a Subjective Mental Workload Survey was developed with four distinct subscales: Difficulty, Incompetence, Affect, and Effort. Participants were 52 English-speaking students in Australia and 12 Chinese-speaking students in Hong Kong. For these participants, there were 383 records of scores. Although Difficulty typically used in previous cognitive load research, reasonably well reflected cognitive load, a Workload measure incorporating Difficulty, Incompetence, and Effort proved to be a better predictor of cognitive load. This Workload factor is applicable to analysis of group differences using statistical procedures such as analysis of variance, a finding that shows that tasks more likely to overload working memory score higher in Workload estimates. An appendix contains a list of variables used in the study and alpha reliability estimates. (Contains 50 references.) (Author/SLD)
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2001
– Name: AN
  Label: Accession Number
  Group: ID
  Data: ED446117
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED446117
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
    Subjects:
      – SubjectFull: Cognitive Processes
        Type: general
      – SubjectFull: College Students
        Type: general
      – SubjectFull: Construct Validity
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Higher Education
        Type: general
      – SubjectFull: Prediction
        Type: general
      – SubjectFull: Australia
        Type: general
      – SubjectFull: Hong Kong
        Type: general
    Titles:
      – TitleFull: Toward a Subjective Mental Workload Measure.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Yeung, Alexander Seeshing
      – PersonEntity:
          Name:
            NameFull: Lee, Cynthia Fong King
      – PersonEntity:
          Name:
            NameFull: Pena, Isabel Maria
      – PersonEntity:
          Name:
            NameFull: Ryde, Jeni
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2000
ResultId 1