Overloaded minds and machines: a cognitive load framework for human-AI symbiosis.
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| Title: | Overloaded minds and machines: a cognitive load framework for human-AI symbiosis. |
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| Authors: | Wang, Peng1,2, wang@essb.eur.nl, Liu, Hongjun3, Zou, Liye4, Paas, Fred2,5 |
| Source: | Artificial Intelligence Review; Mar2026, Vol. 59 Issue 3, p1-25, 25p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 191961559 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Overloaded minds and machines: a cognitive load framework for human-AI symbiosis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wang%2C+Peng%22">Wang, Peng</searchLink><relatesTo>1,2</relatesTo>, <i>wang@essb.eur.nl</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Hongjun%22">Liu, Hongjun</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Zou%2C+Liye%22">Zou, Liye</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Paas%2C+Fred%22">Paas, Fred</searchLink><relatesTo>2,5</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Mar2026, Vol. 59 Issue 3, p1-25, 25p |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-026-11510-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 1 Titles: – TitleFull: Overloaded minds and machines: a cognitive load framework for human-AI symbiosis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Peng – PersonEntity: Name: NameFull: Liu, Hongjun – PersonEntity: Name: NameFull: Zou, Liye – PersonEntity: Name: NameFull: Paas, Fred IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 59 – Type: issue Value: 3 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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