The role of socio-emotional attributes in enhancing human-AI collaboration

Simple item page
dc.contributor.authorKolomazník, Michalcs
dc.contributor.authorPetřík, Vladimírcs
dc.contributor.authorSláma, Michalcs
dc.contributor.authorJuřík, Vojtěchcs
dc.coverage.issue1cs
dc.coverage.volume15cs
dc.date.accessioned2025-06-10T11:56:01Z
dc.date.available2025-06-10T11:56:01Z
dc.date.issued2024-12-16cs
dc.description.abstractThis article delves into the dynamics of human interaction with artificial intelligence (AI), emphasizing the optimization of these interactions to enhance human productivity. Employing a Grounded Theory Literature Review (GTLR) methodology, the study systematically identifies and analyzes themes from literature published between 2018 and 2023. Data were collected primarily from the Scopus database, with the Web of Science used to corroborate findings and include additional sources identified through a snowball effect. At the heart of this exploration is the pivotal role of socio-emotional attributes such as trust, empathy, rapport, user engagement, and anthropomorphization-elements crucial for the successful integration of AI into human activities. By conducting a comprehensive review of existing literature and incorporating case studies, this study illuminates how AI systems can be designed and employed to foster deeper trust and empathetic understanding between humans and machines. The analysis reveals that when AI systems are attuned to human emotional and cognitive needs, there is a marked improvement in collaborative efficiency and productivity. Furthermore, the paper discusses the ethical implications and potential societal impacts of fostering such human-AI relationships. It argues for a paradigm shift in AI development-from focusing predominantly on technical proficiency to embracing a more holistic approach that values the socio-emotional aspects of human-AI interaction. This shift could pave the way for more meaningful and productive collaborations between humans and AI, ultimately leading to advancements that are both technologically innovative and human-centric.en
dc.formattextcs
dc.format.extent1-13cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationFrontiers in Psychology. 2024, vol. 15, issue 1, p. 1-13.en
dc.identifier.doi10.3389/fpsyg.2024.1369957cs
dc.identifier.issn1664-1078cs
dc.identifier.other193683cs
dc.identifier.urihttps://hdl.handle.net/11012/251603
dc.language.isoencs
dc.publisherFRONTIERS MEDIA SAcs
dc.relation.ispartofFrontiers in Psychologycs
dc.relation.urihttps://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2024.1369957/fullcs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1664-1078/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectautonomous technologyen
dc.subjecthuman-robot interactionen
dc.subjectartificial intelligence as social actorsen
dc.subjectperception of AIen
dc.subjecthuman-like AIen
dc.titleThe role of socio-emotional attributes in enhancing human-AI collaborationen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-193683en
sync.item.dbtypeVAVen
sync.item.insts2025.06.10 13:56:01en
sync.item.modts2025.06.10 13:33:10en
thesis.grantorVysoké učení technické v Brně. Fakulta stavební. Ústav automatizace inženýrských úloh a informatikycs
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
fpsyg151369957.pdf
Size:
560.38 KB
Format:
Adobe Portable Document Format
Description:
file fpsyg151369957.pdf
Download
Collections
Ústav automatizace inženýrských úloh a informatiky