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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F24%3APU154931" target="_blank" >RIV/00216305:26110/24:PU154931 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14210/24:00137334 RIV/62690094:18470/24:50021753

Result on the web

<a href="https://www.webofscience.com/wos/woscc/full-record/WOS:001370158700001" target="_blank" >https://www.webofscience.com/wos/woscc/full-record/WOS:001370158700001</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3389/fpsyg.2024.1369957" target="_blank" >10.3389/fpsyg.2024.1369957</a>

Result language

angličtina

Original language name

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

Original language description

This 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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

50100 - Psychology and cognitive sciences

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Frontiers in Psychology

ISSN

1664-1078

e-ISSN

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Volume of the periodical

15

Issue of the periodical within the volume

1

Country of publishing house

CH - SWITZERLAND

Number of pages

13

Pages from-to

„“-„“

UT code for WoS article

001370158700001

EID of the result in the Scopus database

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