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Titlebook: HCI in Business, Government and Organizations; 10th International C Fiona Nah,Keng Siau Conference proceedings 2023 Springer Nature Switzer

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发表于 2025-3-21 19:15:58 | 显示全部楼层 |阅读模式
书目名称HCI in Business, Government and Organizations
副标题10th International C
编辑Fiona Nah,Keng Siau
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: HCI in Business, Government and Organizations; 10th International C Fiona Nah,Keng Siau Conference proceedings 2023 Springer Nature Switzer
描述This two-volume set of HCIBGO 2023, constitutes the refereed proceedings of the 10h International Conference on HCI in Business, Government and Organizations, held as Part of the 24th International Conference, HCI International 2023, which took place in July 2023 in Copenhagen, Denmark.The total of 1578 papers and 396 posters included in the HCII 2023 proceedings volumes was carefully reviewed and selected from 7472 submissions.. The HCIBGO 2023 proceedings focuses in topics such as artificial intelligence and machine learning, blockchain, service design, live streaming in electronic commerce, visualization, and workplace design..
出版日期Conference proceedings 2023
关键词artificial intelligence; computer networks; computer security; computer games; computer hardware; compute
版次1
doihttps://doi.org/10.1007/978-3-031-35969-9
isbn_softcover978-3-031-35968-2
isbn_ebook978-3-031-35969-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2023
The information of publication is updating

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Louise S. Mead,Stephen G. Tilleydetermine program effectiveness, often relying on training policy compliance metrics (e.g., training completion rates) rather than measuring actual impact. Few studies have begun to discover approaches and challenges to measuring security awareness program effectiveness within compliance-focused sec
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Kevin J. Gaston,William E. Kuninrivate organizations. Although the criteria for appropriate explanations and fair decisions change depending on the values of those who are affected by the decisions, there is a lack of discussion framework to consider the appropriate outputs for each stakeholder. In this paper, we propose a discuss
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https://doi.org/10.1007/978-3-319-44153-5rocess for doctors. Many deep learning based methods are developed to yield better performance of multimodal data based disease prediction considering their powerful representation abilities. However, the black-box nature of deep learning methods results in many serious concerns: e.g. the reliabilit
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G. Froyen,H. Heremans,R. Dijkmans,A. Billiaud Online through Shipper E-commerce Site, which will be the Probability for the Successful Delivery Attempt. Researchers are doing research work in this specific use case using ‘Qualitative Research.’ This research data was taken from the Delivery Mobile Application, LinkedIn, Online Media, E-commer
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