An efficient approach to understanding and predicting the effects of multiple task characteristics on performance
Journal article
Richardson, Miles 2016. An efficient approach to understanding and predicting the effects of multiple task characteristics on performance. Ergonomics. https://doi.org/10.1080/00140139.2016.1188217
| Authors | Richardson, Miles |
|---|---|
| Abstract | In ergonomics there is often a need to identify and predict the separate effects of multiple factors on performance. A cost-effective fractional factorial approach to understanding the relationship between task characteristics and task performance is presented. The method has been shown to provide sufficient independent variability to reveal and predict the effects of task characteristics on performance in two domains. The five steps outlined are: selection of performance measure, task characteristic identification, task design for user trials, data collection, regression model development and task characteristic analysis. The approach can be used for furthering knowledge of task performance, theoretical understanding, experimental control and prediction of task performance. |
| Keywords | Methods; Performance; Fractional-factorial; Orthogonal |
| Year | 2016 |
| Journal | Ergonomics |
| ISSN | 0014-0139 |
| 1366-5847 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1080/00140139.2016.1188217 |
| Web address (URL) | http://hdl.handle.net/10545/615637 |
| hdl:10545/615637 | |
| Publication dates | 30 May 2016 |
| Publication process dates | |
| Deposited | 06 Jul 2016, 12:29 |
| Accepted | 03 May 2016 |
| Rights | Archived with thanks to Ergonomics |
| Contributors | University of Derby |
| File | |
| File | File Access Level Open |
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