DC Field | Value | Language |
---|---|---|
dc.contributor.author | Maldonado, Sebastian | ko |
dc.contributor.author | Lopez, Julio | ko |
dc.contributor.author | Jimenez-Molina, Angel | ko |
dc.contributor.author | Lira, Hernan | ko |
dc.date.accessioned | 2020-03-19T01:23:08Z | - |
dc.date.available | 2020-03-19T01:23:08Z | - |
dc.date.created | 2020-02-18 | - |
dc.date.created | 2020-02-18 | - |
dc.date.issued | 2020-04 | - |
dc.identifier.citation | EXPERT SYSTEMS WITH APPLICATIONS, v.143 | - |
dc.identifier.issn | 0957-4174 | - |
dc.identifier.uri | http://hdl.handle.net/10203/272350 | - |
dc.description.abstract | In this study, an expert system is presented for analyzing the mental workload of interacting with a mobile phone while facing common daily tasks. Psychophysiological signals were collected from various devices, each characterized by a different cost and obtrusiveness. To deal with user-level signal data, a support vector machine-based feature selection approach is proposed. Given the limited person-level information available, our goal was to construct robust models by pooling population-level information across users (as a heterogeneity control). A single optimization problem that combines four objectives is proposed: model, margin maximization, feature selection, and heterogeneity control. The costs of using the devices were estimated, leading to a decision tool that allowed experiment designers to evaluate the marginal benefit of using a given device in terms of performance and its cost. (C) 2019 Elsevier Ltd. All rights reserved. | - |
dc.language | English | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.title | Simultaneous feature selection and heterogeneity control for SVM classification: An application to mental workload assessment | - |
dc.type | Article | - |
dc.identifier.wosid | 000509630200003 | - |
dc.identifier.scopusid | 2-s2.0-85074160135 | - |
dc.type.rims | ART | - |
dc.citation.volume | 143 | - |
dc.citation.publicationname | EXPERT SYSTEMS WITH APPLICATIONS | - |
dc.identifier.doi | 10.1016/j.eswa.2019.112988 | - |
dc.contributor.nonIdAuthor | Maldonado, Sebastian | - |
dc.contributor.nonIdAuthor | Lopez, Julio | - |
dc.contributor.nonIdAuthor | Jimenez-Molina, Angel | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Support vector machines | - |
dc.subject.keywordAuthor | Feature selection | - |
dc.subject.keywordAuthor | Heterogeneity control | - |
dc.subject.keywordAuthor | Mental workload | - |
dc.subject.keywordAuthor | Group penalty functions | - |
dc.subject.keywordPlus | SUPPORT VECTOR MACHINES | - |
dc.subject.keywordPlus | COGNITIVE LOAD | - |
dc.subject.keywordPlus | CONJOINT | - |
dc.subject.keywordPlus | STRESS | - |
dc.subject.keywordPlus | INTELLIGENCE | - |
dc.subject.keywordPlus | PERFORMANCE | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.subject.keywordPlus | APNEA | - |
dc.subject.keywordPlus | COST | - |
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