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Titlebook: HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intel; 23rd HCI Internation Constantine Step

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書(shū)目名稱(chēng)HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intel
副標(biāo)題23rd HCI Internation
編輯Constantine Stephanidis,Masaaki Kurosu,Stavroula N
視頻videohttp://file.papertrans.cn/421/420078/420078.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intel; 23rd HCI Internation Constantine Step
描述This book constitutes late breaking papers from the 23rd International Conference on Human-Computer Interaction, HCII 2021, which was held in July 2021. The conference was planned to take place in Washington DC, USA but had to change to a virtual conference mode due to the COVID-19 pandemic.. A total of 5222 individuals from academia, research institutes, industry, and governmental agencies from 81 countries submitted contributions, and 1276 papers and 241 posters were included in the volumes of the proceedings that were published before the start of the conference. Additionally, 174 papers and 146 posters are included in the volumes of the proceedings published after the conference, as “Late Breaking Work” (papers and posters). The contributions thoroughly cover the entire field of HCI, addressing major advances in knowledge and effective use of computers in a variety of application areas. .
出版日期Conference proceedings 2021
關(guān)鍵詞Multimodal Interaction; HCI in eXtended Reality; Artificial Intelligence; HCI; Machine Learning
版次1
doihttps://doi.org/10.1007/978-3-030-90963-5
isbn_softcover978-3-030-90962-8
isbn_ebook978-3-030-90963-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intel978-3-030-90963-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Temperature of Timber Structures,love. The result shows that the haptic finger glove could help user to better interact with the virtual keyboard. Moreover, a short-term training could increase the input efficiency and reduce the error rate, which is comparable or better than traditional pointing method with handheld controllers.
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Sequential Assembly of Virus Particlesata of the subject‘s fingertip velocity during the VKC task, we developed a model that can be segmented in terms of motion primitives. Therefore, the segmentation accuracy was 83.4%, and the percentage of false positives was as high as 28%.In the future, we plan to revise the feature set.
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Haptic Finger Glove for the VR Keyboard Inputlove. The result shows that the haptic finger glove could help user to better interact with the virtual keyboard. Moreover, a short-term training could increase the input efficiency and reduce the error rate, which is comparable or better than traditional pointing method with handheld controllers.
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