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Titlebook: HCI International 2024 Posters; 26th International C Constantine Stephanidis,Margherita Antona,Gavriel Conference proceedings 2024 The Edi

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發(fā)表于 2025-3-21 19:37:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱HCI International 2024 Posters
副標(biāo)題26th International C
編輯Constantine Stephanidis,Margherita Antona,Gavriel
視頻videohttp://file.papertrans.cn/421/420115/420115.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: HCI International 2024 Posters; 26th International C Constantine Stephanidis,Margherita Antona,Gavriel  Conference proceedings 2024 The Edi
描述.The seven-volume set CCIS 2114-2120 contains the extended abstracts of the posters presented during the 26th International Conference on Human-Computer Interaction, HCII 2024, held in?Washington, DC, USA, during June 29–July 4, 2024...The total of 1271 papers and 309 posters included in the HCII 2024 proceedings were carefully reviewed and selected from 5108 submissions. The posters presented in these seven volumes are organized in the following topical sections:..Part I: HCI Design Theories, Methods, Tools and Case Studies; User Experience Evaluation Methods and Case Studies; Emotions in HCI; Human Robot Interaction...Part II: Inclusive Designs and Applications; Aging and Technology...Part III: eXtended Reality and the Metaverse; Interacting with Cultural Heritage, Art and Creativity...Part IV: HCI in Learning and Education; HCI in Games...Part V: HCI in Business and Marketing; HCI in Mobility and Automated Driving; HCI in Psychotherapy and Mental Health..Part VI: Interacting with the Web, Social Media and Digital Services; Interaction in the Museum; HCI in Healthcare...Part VII: AI Algorithms and Tools in HCI; Interacting with Large Language Models and Generative AI; Interacting
出版日期Conference proceedings 2024
關(guān)鍵詞artificial intelligence; communication systems; computer hardware; computer networks; computer systems; c
版次1
doihttps://doi.org/10.1007/978-3-031-61963-2
isbn_softcover978-3-031-61962-5
isbn_ebook978-3-031-61963-2Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
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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Research on Consumers’ Preference for Sustainable Fashion Labelsle‘s sustainable consumption. Labeling is regarded as a favorable tool to provide sustainable information by providing more information and knowledge about sustainable development and triggering consumers’ cognitive response. At present, the research on sustainable fashion labels is mostly to provid
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Xian Metaverse - Extended Reality Technology Enabling Digital Economy in Commercial Neighborhoodsimproving users’ efficiency. However, since currently most augmented reality researches focus mostly on small indoor spaces (e.g., museums, classrooms), discussing the application of augmented reality as a technology in urban management such as digital economy, cultural heritage seems to be a resear
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Cultural Differences in Landing Page Informational Design of Business and Leisure Hotel Between Taiwng to the Y and Z generations. We aim to explore the preferences of customers from diverse cultural backgrounds when accessing landing pages of these hotels. Two experiments will be conducted: one from an operator‘s perspective, examining landing page compositions across different countries, and the
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Designing 3D Avatar Influencer for?Live Streaming Interactions 3D avatar for the context of the digital influencer industry. The use of motion capture and mobile apps as controllers for the 3D avatar are discussed, engendering questions on the fit of those technologies with the processes of the marketing industry, specially amidst the theme of style consistenc
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Research on IP Image Design of New Tea Drinks Brands Based on Kansei Engineering has become an inevitable trend for the upgrading of new tea drinks brands, and IP image design is an important part of it. However, designers lack design guidelines with few theoretical studies on IP image design for new tea drinks brands when practicing..Therefore, based on Kansei Engeering (KE),
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Machine Learning for?Forecasting Entrepreneurial Opportunities – A Literature Reviewgence and entrepreneurship. This article makes a twofold contribution to this through a systematic literature analysis. On the one hand, the existing approaches for generating or identifying the business opportunity are compiled from 25 publications and presented in a concept matrix. On the other ha
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