Toward a Subjective Mental Workload Measure.
Saved in:
| 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 |
| 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) |
|---|
