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Titlebook: Universal Access in Human-Computer Interaction; 18th International C Margherita Antona,Constantine Stephanidis Conference proceedings 2024

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發(fā)表于 2025-3-21 19:39:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Universal Access in Human-Computer Interaction
副標(biāo)題18th International C
編輯Margherita Antona,Constantine Stephanidis
視頻videohttp://file.papertrans.cn/943/942159/942159.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Universal Access in Human-Computer Interaction; 18th International C Margherita Antona,Constantine Stephanidis Conference proceedings 2024
描述.This three-volume set LNCS 14696-14698 constitutes the refereed proceedings of the 18th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2024, held as part of the 26th International Conference, HCI International 2024, in Washington, DC, USA, during June 29 – July 4, 2024...The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions...The UAHCI 2024 proceedings were organized in the following topical sections:..Part I: User Experience Design and Evaluation for Universal Access; AI for Universal Access...Part II: Universal Access to Digital Services; Design for Cognitive Disabilities; Universal Access to Virtual and Augmented Reality...Part III: Universal Access to Learning and Education; Universal Access to Health and Wellbeing; Universal Access to Information and Media..
出版日期Conference proceedings 2024
關(guān)鍵詞artificial intelligence; computer networks; human engineering; Human-Computer Interaction (HCI); user in
版次1
doihttps://doi.org/10.1007/978-3-031-60875-9
isbn_softcover978-3-031-60874-2
isbn_ebook978-3-031-60875-9Series 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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A Multimodal Approach to Understand Driver’s Distraction for DMSThe findings suggest that combining various data types—behavioral, physiological, and emotional—can significantly improve DMS’s predictive capability. This research contributes to the development of more sophisticated, adaptive, and real-time systems for improving driver safety and advancing autonomous driving technologies.
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Exploring the?Need of?Assistive Technologies for?People with?Olfactory Disordersw. Our results illustrated participants’ varied views on current technology, behaviors/technologies adopted when presented with particular scenarios, and potential solutions for designing assistive technologies for olfactory disorders. Through these findings, we discuss design considerations for assistive technology for olfaction.
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Enhancing Accessibility for?Collectible Card Games: Adopting Guidelines, Applying AI, and?Creating Nbeen given to analog gaming. Like video games, Collectible Card Games (CCG) have also gained massive popularity, but no accessible guidelines have been created to assist their base. With the aging of gamers that started playing thirty years ago and the strain the card’s text places on the player’s v
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The Participation of People with Disabilities in (Citizen) Science Projects. Best Practice Examples ng field of research, citizen science has lately been fostered to gain new insights in fields of research, especially application oriented research. As citizen science experiences strong expectations in research fields connected to civil life, the article argues that citizen science must enable full
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Ergonomic Principles in Designing Assistive Systemsdard. Assistive systems are defined as technical components (hardware) in combination with logic (software) aiming to support the user in executing an action and to optimize the external load. Here, “external load” is defined as external conditions and demands in a system which influence a person’s
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