dc.contributor.author | Prossinger, Hermann | |
dc.contributor.author | Binter, Jakub | |
dc.contributor.author | Machová, Kamila | |
dc.contributor.author | Říha, Daniel | |
dc.contributor.author | Boschetti, Silvia | |
dc.contributor.editor | Ahram, Tareq | |
dc.contributor.editor | Taiar, Redha | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14178/1763 | |
dc.description.abstract | We use AI techniques to statistically rigorously analyze combinations of query responses of two personality-related questionnaires. One questionnaire probes aspects of a participant's character (SOI) and the other avoidance of aversive outcomes together with approaches to goal orientated outcomes (BIS/BAS). We use one-hot encoding, dimension reduction with a neural network (a seven-layer auto-encoder) and two clustering algorithms to detect associations between the twelve combinations of SOI and BIS/BAS groups. We discover that for most combinations more than one association exists. Traditional, fallacious statistical methods cannot find these outcomes. | en |
dc.language.iso | en | |
dc.publisher | AHFE International | |
dc.relation.url | https://doi.org/10.54941/ahfe100903 | |
dc.rights | Creative Commons Uveďte původ 4.0 International | cs |
dc.rights | Creative Commons Attribution 4.0 International | en |
dc.title | Machine Learning Detects Pairwise Associations between SOI and BIS/BAS Subscales, making Correlation Analyses Obsolete | en |
dcterms.accessRights | embargoedAccess | |
dcterms.license | https://creativecommons.org/licenses/by/4.0/legalcode | |
dc.date.updated | 2023-10-02T06:14:52Z | |
dc.subject.keyword | One-hot Encoding | en |
dc.subject.keyword | Autoencoder | en |
dc.subject.keyword | Neural Networks | en |
dc.subject.keyword | DBSCAN Clustering | en |
dc.subject.keyword | Spectral Clustering | en |
dc.subject.keyword | BIS/BAS | en |
dc.subject.keyword | SOI | en |
dc.subject.keyword | Heat Maps | en |
dc.publisher.publicationPlace | USA | |
dc.relation.fundingReference | info:eu-repo/grantAgreement/UK/COOP/COOP | |
dc.relation.fundingReference | info:eu-repo/grantAgreement/GA0/GJ/GJ19-12885Y | |
dc.date.embargoStartDate | 2023-10-02 | |
dc.date.embargoEndDate | 2023-03-07 | |
dc.type.obd | 57 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | |
dc.identifier.doi | 10.54941/ahfe100903 | |
dc.identifier.obd | 621615 | |
dc.identifier.riv | RIV/00216208:11310/22:10453956 | |
dc.identifier.riv | RIV/00216208:11240/22:10453956 | |
dc.subject.rivPrimary | 50000::50100::50101 | |
dc.subject.rivSecondary | 20000::20100 | |
dc.description.edition | 1st ed | |
dcterms.isPartOf.name | Human Interaction & Emerging Technologies (IHIET-AI 2022): Artificial Intelligence & Future Applications | |
dcterms.isPartOf.journalYear | 2022 | |
dcterms.isPartOf.isbn | 978-1-79238-989-4 | |
dcterms.isPartOf.series | 23 | |
uk.faculty.primaryId | 120 | |
uk.faculty.primaryName | Fakulta humanitních studií | cs |
uk.faculty.primaryName | Faculty of Humanities | en |
uk.faculty.secondaryId | 115 | |
uk.faculty.secondaryName | Přírodovědecká fakulta | cs |
uk.faculty.secondaryName | Faculty of Science | en |
uk.department.primaryId | 120 | |
uk.department.primaryName | Fakulta humanitních studií | cs |
uk.department.primaryName | Faculty of Humanities | en |
uk.department.secondaryId | 100034547323 | |
uk.department.secondaryId | 1028 | |
uk.department.secondaryId | 284 | |
uk.department.secondaryName | Katedra teorie umění a tvorby | cs |
uk.department.secondaryName | Katedra teorie umění a tvorby | en |
uk.department.secondaryName | Katedra filosofie a dějin přírodních věd | cs |
uk.department.secondaryName | Department of Philosophy and History of Science | en |
uk.department.secondaryName | Oddělení pro vědu a výzkum | cs |
uk.department.secondaryName | Oddělení pro vědu a výzkum | en |
uk.event.name | 7th International Conference on Human Interaction and Emerging Technologies, IHIET-AI 2022 | |
dc.description.pageRange | nestránkováno | |
dc.type.obdHierarchyCs | PŘÍSPĚVEK V KONFERENČNÍM SBORNÍKU::příspěvek v konferenčním sborníku::příspěvek v recenzovaném konferenčním sborníku | cs |
dc.type.obdHierarchyEn | PAPER IN CONFERENCE PROCEEDINGS::article in proceedings::article in reviewed proceedings | en |
dc.type.obdHierarchyCode | 57::148::499 | en |
uk.displayTitle | Machine Learning Detects Pairwise Associations between SOI and BIS/BAS Subscales, making Correlation Analyses Obsolete | en |