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Titlebook: Distributed, Ambient and Pervasive Interactions; 11th International C Norbert A. Streitz,Shin‘ichi Konomi Conference proceedings 2023 The E

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書目名稱Distributed, Ambient and Pervasive Interactions
副標(biāo)題11th International C
編輯Norbert A. Streitz,Shin‘ichi Konomi
視頻videohttp://file.papertrans.cn/282/281977/281977.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Distributed, Ambient and Pervasive Interactions; 11th International C Norbert A. Streitz,Shin‘ichi Konomi Conference proceedings 2023 The E
描述This book constitutes the refereed proceedings of the 11th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023, which took place as an hybrid event in Copenhagen, Denmark, in July 2023..A total of 1578 papers and 396 posters have been accepted for publication in the HCII 2023 proceedings from a total of 7472 submissions..The 60 papers included in the DAPI 2023 proceedings were organized in topical sections as follows:.Part I: Designing and evaluating intelligent environments; user experience in intelligent environments; pervasive data;.Part II: Smart cities and environment preservation; media, art and culture in intelligent environments; supporting health, learning, work and everyday life.
出版日期Conference proceedings 2023
關(guān)鍵詞artificial intelligence; communication systems; computer networks; data communication systems; Human-Com
版次1
doihttps://doi.org/10.1007/978-3-031-34668-2
isbn_softcover978-3-031-34667-5
isbn_ebook978-3-031-34668-2Series 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
The information of publication is updating

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The Commonwealth of the Bahamasaims to develop a tool named ActiveQoL-ESM for measuring the satisfaction of each daily activity based on the experience sampling method (ESM), a classical method for continuously collecting personal subjective data that significantly change dynamically during daily life. Moreover, we propose a meth
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