A multifaceted vision of the human-AI collaboration: a comprehensive review

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dc.contributor.authorPuerta Beldarrain, Maite
dc.contributor.authorGómez Carmona, Oihane
dc.contributor.authorSánchez Corcuera, Rubén
dc.contributor.authorCasado Mansilla, Diego
dc.contributor.authorLópez de Ipiña González de Artaza, Diego
dc.contributor.authorChen, Liming
dc.date.accessioned2025-05-06T07:39:15Z
dc.date.available2025-05-06T07:39:15Z
dc.date.issued2025
dc.date.updated2025-05-06T07:39:15Z
dc.description.abstractHuman-AI collaboration has evolved into a complex, multidimensional paradigm shaped by research in various domains. Key areas such as human-in-The-loop systems, Interactive Machine Learning (IML), Hybrid Intelligence, and Human-Agent Interaction have significantly contributed to this development. However, these fields often lack cohesion, underscoring the need for a cohesive perspective to advance. This work addresses this gap by integrating insights from diverse aspects of collaboration to present a holistic approach to fostering effective and adaptive interactions between humans and artificial agents. It emphasizes empowering end-users with greater control and involvement in decision-making processes, thereby enhancing both the levels of interactivity and adaptability within intelligent systems. Moving beyond a focus on AI training techniques, this paper presents a broader perspective on incorporating human input into AI decision-making and learning processes, highlighting the importance of flexibility in systems and user engagement. The manuscript proposes a framework encompassing five levels of human integration and examines their relationship with core collaboration aspects, including the system purpose, participant expertise, and system proactivity. By synthesizing current knowledge on human-AI collaboration and outlining essential design principles, this work aims to advance the field and foster interdisciplinary collaboration among researchers, practitioners, and designersen
dc.description.sponsorshipThis work has been supported by grant IT1582-22 from the Basque Government, which recognizes Human-centric Computing for Smart Sustainable Communities and Environments (DEUSTEK5) as an excellent research group under the Basque university system. Besides, we acknowledge the Ministerio de Ciencia e Innovación for Internet of People (IoP), under Grant No.: PID2020-119682RB-I00. Finally, this work has been partially supported by the European Commission through the Wearables and drones for City Socio-Environmental Observations and Behavioral Change (SOCIO-BEE) project Under Grant No. 101037648en
dc.identifier.citationPuerta-Beldarrain, M., Gomez-Carmona, O., Sanchez-Corcuera, R., Casado-Mansilla, D., Lopez-De-Ipina, D., & Chen, L. (2025). A multifaceted vision of the human-AI collaboration: a comprehensive review. IEEE Access, 13, 29375-29405. https://doi.org/10.1109/ACCESS.2025.3536095
dc.identifier.doi10.1109/ACCESS.2025.3536095
dc.identifier.eissn2169-3536
dc.identifier.urihttps://hdl.handle.net/20.500.14454/2663
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.rights© 2025 The Authors
dc.subject.otherHuman-AI collaboration
dc.subject.otherHuman-centred AI
dc.subject.otherHuman-in-the-loop
dc.subject.otherHuman-machine collaboration
dc.subject.otherHuman-machine symbiosis
dc.subject.otherHuman-robot collaboration
dc.subject.otherHybrid intelligence
dc.subject.otherInteractive machine learning
dc.titleA multifaceted vision of the human-AI collaboration: a comprehensive reviewen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.endPage29405
oaire.citation.startPage29375
oaire.citation.titleIEEE Access
oaire.citation.volume13
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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