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Titlebook: Human Interface and the Management of Information; Thematic Area, HIMI Hirohiko Mori,Yumi Asahi Conference proceedings 2024 The Editor(s)

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书目名称Human Interface and the Management of Information
副标题Thematic Area, HIMI
编辑Hirohiko Mori,Yumi Asahi
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Human Interface and the Management of Information; Thematic Area, HIMI  Hirohiko Mori,Yumi Asahi Conference proceedings 2024 The Editor(s)
描述.This three-volume set LNCS 14789-14791 constitutes the thoroughly refereed proceedings of the thematic area Human Interface and the Management of Information, HIMI 2024, held as part of the 26th International Conference on Human-Computer Interaction, HCI International 2024 (HCII 2024), was held as a hybrid event in Washington DC, USA, during June/July 2024. .. ..The total of 1271 papers and 309 posters included in the HCII 2023 proceedings was carefully reviewed and selected from 5108 submissions... ..The HIMI conference addressed approaches and objectives of information and data design, retrieval, presentation and visualization, management, and evaluation in human computer interaction in a variety of application domains, such as, for example, learning, work, decision, collaboration, medical support, and service engineering, and much more..
出版日期Conference proceedings 2024
关键词Service Engineering; New HI (Human Interface) and Human of QOL (Quality of Life); Information in VR, A
版次1
doihttps://doi.org/10.1007/978-3-031-60107-1
isbn_softcover978-3-031-60106-4
isbn_ebook978-3-031-60107-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Multimodal Design for Interactive Collaborative Problem-Solving Supporterpretable. These modalities may include speech, gesture, action, affect, pose and object position in physical space, amongst others. As AI becomes more prominent in day-to-day use and various learning environments, such as classrooms, there is potential for it to support additional understanding in
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Intelligent Information Design Based on Human-Machine Collaboration in Lane Change Overtaking Scenarey can be considered as collaborators with humans. As members of a human-machine intelligent collaboration team, team members need to attain mutual predictability. The absence of predictability may induce negative automation surprises in drivers, leading to discomfort, anxiety, or loss of trust. To
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Dynamic Labeling: A Control System for Labeling Styles in Image Annotation Tasksy when the data are easy, and a “label carefully” style can increase label quality when the data are difficult. However, the selection of an appropriate labeling style is difficult as different annotators have different experiences and domain knowledge, affecting their subjective feelings of data di
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