An efficient approach to understanding and predicting the effects of multiple task characteristics on performance

Hdl Handle:
http://hdl.handle.net/10545/615637
Title:
An efficient approach to understanding and predicting the effects of multiple task characteristics on performance
Authors:
Richardson, Miles ( 0000-0002-7223-7053 )
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.
Affiliation:
University of Derby
Citation:
Richardson, M. (2016) 'An efficient approach to understanding and predicting the effects of multiple task characteristics on performance', Ergonomics, 60 (4), pp. 504-511.
Journal:
Ergonomics
Issue Date:
30-May-2016
URI:
http://hdl.handle.net/10545/615637
DOI:
10.1080/00140139.2016.1188217
Additional Links:
http://www.tandfonline.com/doi/full/10.1080/00140139.2016.1188217
Type:
Article
Language:
en
ISSN:
0014-0139; 1366-5847
Appears in Collections:
Centre for Psychological Research

Full metadata record

DC FieldValue Language
dc.contributor.authorRichardson, Milesen
dc.date.accessioned2016-07-06T12:29:03Z-
dc.date.available2016-07-06T12:29:03Z-
dc.date.issued2016-05-30-
dc.identifier.citationRichardson, M. (2016) 'An efficient approach to understanding and predicting the effects of multiple task characteristics on performance', Ergonomics, 60 (4), pp. 504-511.en
dc.identifier.issn0014-0139-
dc.identifier.issn1366-5847-
dc.identifier.doi10.1080/00140139.2016.1188217-
dc.identifier.urihttp://hdl.handle.net/10545/615637-
dc.description.abstractIn 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.en
dc.language.isoenen
dc.relation.urlhttp://www.tandfonline.com/doi/full/10.1080/00140139.2016.1188217en
dc.rightsArchived with thanks to Ergonomicsen
dc.subjectMethodsen
dc.subjectPerformanceen
dc.subjectFractional-factorialen
dc.subjectOrthogonalen
dc.titleAn efficient approach to understanding and predicting the effects of multiple task characteristics on performanceen
dc.typeArticleen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalErgonomicsen
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