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AI has moved past being a mere tool; it's our new, permanent coworker. To truly capitalize on this massive digital integration, we must focus on the tricky, three-part equilibrium between trust, emotion, and productivity. While AI offers impressive gains in speed and data-crunching, those benefits are easily negated when users lack confidence often ...
Lingala Thirupathi +4 more
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A scoping review of human-AI collaboration patterns and task divisions in healthcare applications [PDF]
npj Digital MedicineWith the widespread use of Artificial Intelligence (AI) in healthcare, how human physicians work with AI, a new colleague, has become an issue of increasing concern.
Yuxuan You, Xi Li
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Constructivist psychology principles of human–AI collaboration [PDF]
Frontiers in PsychologyGenerative artificial intelligence (GenAI) is becoming a part of our lives, personally and professionally. Much of the current discourse focuses on its capabilities and ethical risk, while some important questions remain under explored.
Jelena Pavlović
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Leadership and Human–AI Collaboration: A Measurement Scale [PDF]
Behavioral SciencesThis paper aims to develop and provide the validity and reliability of a measurement scale that establishes the relationship between Leadership and Human–AI Collaboration. An instrumental study was conducted to inform the design and revision of a scale’s
Julio César Acosta-Prado +3 more
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Explainable AI improves task performance in human–AI collaboration [PDF]
Scientific ReportsArtificial intelligence (AI) provides considerable opportunities to assist human work. However, one crucial challenge of human–AI collaboration is that many AI algorithms operate in a black-box manner where the way how the AI makes predictions remains ...
Julian Senoner +4 more
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How does human-AI collaboration task complexity affect employee work engagement? The roles of humble leadership and AI self-efficacy [PDF]
Frontiers in PsychologyIntroductionWith the rapid advancement of artificial intelligence (AI) technology, human-AI collaboration has become increasingly prevalent in workplaces, profoundly impacting employees’ psychology and behavior.
Bolin Wang, Simeng Liu, Chenhao Luo
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Human–AI collaboration: trade-offs between performance and preferences [PDF]
Cognitive ResearchDespite the growing interest in collaborative AI, designing systems that seamlessly integrate human input remains a major challenge. In this study, we developed a task to systematically examine human preferences for collaborative agents.
Lukas W. Mayer +6 more
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Co-working with AI is a Double-sword in Technostress? An Integrative Review of Human-AI Collaboration from a Holistic Process of Technostress [PDF]
SHS Web of Conferences, 2023 An accumulating body of research has demonstrated that human-AI (Artificial Intelligence) collaboration is an indistinguishable future of work. The study of employee-perspective, affect-related responses, and job-related consequences from the adoption ...
Xia Mengting
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Human-AI Collaboration with Bandit Feedback [PDF]
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021 Human-machine complementarity is important when neither the algorithm nor the human yield dominant performance across all instances in a given domain. Most research on algorithmic decision-making solely centers on the algorithm's performance, while recent work that explores human-machine collaboration has framed the decision-making problems as ...
Ruijiang Gao +5 more
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The human-centric Industry 5.0 collaboration architecture
MethodsX, 2023 While the primary focus of Industry 4.0 revolves around extensive digitalization, Industry 5.0, on the other hand, seeks to integrate innovative technologies with human actors, signifying an approach that is more value-driven than technology-centric. The
Attila Tóth +5 more
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