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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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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The impact of human-AI collaboration types on consumer evaluation and usage intention: a perspective of responsibility attribution [PDF]
Frontiers in Psychology, 2023 Despite the widespread availability of artificial intelligence (AI) products and services, consumer evaluations and adoption intentions have not met expectations.
Beibei Yue, Hu Li
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Adaptive trust calibration for human-AI collaboration. [PDF]
PLoS ONE, 2020 Safety and efficiency of human-AI collaboration often depend on how humans could appropriately calibrate their trust towards the AI agents. Over-trusting the autonomous system sometimes causes serious safety issues.
Kazuo Okamura, Seiji Yamada
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How Employee–AI Collaboration Influences Coworkers’ Helping Behaviour: An Attribution Theory Perspective [PDF]
Behavioral SciencesAs artificial intelligence (AI) is increasingly integrated into the workplace, employee–AI collaboration is evolving from a personal productivity tool to a social cue that coworkers can observe and interpret.
Yepeng Wu, Yuanyuan Jiao
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Exploring the impact of AI tools on filmmakers’ creative satisfaction: the mediating role of creative efficiency and autonomy [PDF]
Frontiers in PsychologyThis study takes an innovative approach by examining how the functionality of AI tools, human-AI collaboration, and learning cost indirectly affect creative satisfaction through creative efficiency and autonomy from the perspective of filmmakers ...
Wenyu Jiang, Wenyu Jiang, Jiaqi Zheng
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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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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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