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• W4318148161 abstract "In this paper we present findings from a bibliometric evaluation of scientific publications on human-AI systems, indexed in the Dimensions database over the past five years (2018 to 2022). The study maps the research landscape in this burgeoning area, as it relates to the topic of collaboration. To this end, we assessed publication and citation counts over time, authorship-level indicators, and keyword occurrence frequency. We also examined funding information as an indicator of research priorities, alongside usage-based statistics and alternative metrics such as social media mentions, recommendations, and reads. Our preliminary findings highlight a significant focus on aspects like trust, explainability, transparency, and autonomy in highly complex scenarios through the use of generative models and hybrid interaction techniques. The results also reveal a growth in the number of publications and funding grants, although a certain lack of maturity is observable in terms of citation patterns and coherence of thematic clusters." @default.
• W4318148161 created "2023-01-26" @default.
• W4318148161 creator A5026367873 @default.
• W4318148161 creator A5062877879 @default.
• W4318148161 date "2022-12-17" @default.
• W4318148161 modified "2023-09-26" @default.
• W4318148161 title "Collaboration in relation to Human-AI Systems: Status, Trends, and Impact" @default.
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• W4318148161 doi "https://doi.org/10.1109/bigdata55660.2022.10020416" @default.
• W4318148161 hasPublicationYear "2022" @default.
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