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human-centered computing in health information systems Part 1: Analysis and design

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JOURNAL OF BIOMEDICAL INFORMATICS 2005年第1期38卷 1-3页

作者： Zhang, JJ Univ Texas Hlth Sci Ctr Sch Hlth Informat Sci Houston TX USA

Available online 7 January 2005.

关键词： human-centered computing human–computer interaction Health information system Patient safety User interface

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Small sample-based disease diagnosis model acquisition in medical human-centered computing

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EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING 2019年第1期2019卷 1页

作者： Jia, Xueqing Luo, Tao Ren, Sheng Guo, Kehua Li, Fangfang Natl Univ Def Technol Coll Elect Sci & Technol Changsha Hunan Peoples R China Cent South Univ Sch Comp Sci & Engn Changsha Hunan Peoples R China Hunan Univ Arts & Sci Sch Comp & Elect Engn Changde Peoples R China Cent South Univ Xiangya Hosp Dept Dermatol Changsha Hunan Peoples R China

With the development of wireless communications and networks, HCC (human-centred computing) has attracted considerable attention in recent years throughout the medical field. HCC can provide an effective integration of various medical auxiliary diagnosis models using machine learning algorithms. In medical HCC, deep learning has demonstrated its powerful ability in the field of computer vision. However, image processing based on deep learning usually requires a large amount of labeled data, which requires significant resources since it needs to be completed by doctors, and it is difficult to collect a large amount of data for some rare diseases. Therefore, how to use the deep learning method to obtain an effective auxiliary diagnosis model based on a small sample or zero sample data set has become an important issue in the study of medical auxiliary diagnosis. We proposes an auxiliary diagnosis model acquisition method based on a variational auto-encoder and zero sample augmentation technology, and the incremental update training program based on wireless communications and networks is designed to obtain the auxiliary diagnosis model to solve the difficulty of collecting a large amount of valid data. The experimental results show that the model obtained by the above method based on a small sample or zero sample data set can effectively diagnose the types of skin diseases, which helps doctors make better judgments.

关键词： Auxiliary diagnosis Small sample Variational auto-encoder human-centered computing

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Local differential privacy for human-centered computing

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EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING 2020年第1期2020卷 1-12页

作者： Fang, Xianjin Zeng, Qingkui Yang, Gaoming Anhui Univ Sci & Technol Sch Comp Sci & Engn Huainan 232001 Peoples R China

human-centered computing in cloud, edge, and fog is one of the most concerning issues. Edge and fog nodes generate huge amounts of data continuously, and the analysis of these data provides valuable information. But they also increase privacy risks. The personal sensitive data may be disclosed by untrusted third-party service providers, and the current solutions to privacy protection are inefficient, costly. It is difficult to obtain available statistics. To solve these problems, we propose a local differential privacy sensitive data collection protocol in human-centered computing. Firstly, to maintain high data utility, the selection of the optimal number of hash functions and the mapping length is based on the size of the collected data. Secondly, we hash the sensitive data, add the appropriate Laplace noise to the client side, and send the reports to the server side. Thirdly, we construct the count sketch matrix to obtain privacy statistics on the server side. Finally, the utility of the proposed protocol is verified by synthetic datasets and a real dataset. The experimental results demonstrate that the protocol can achieve a balance between data utility and privacy protection.

关键词： human-centered computing Local differential privacy Laplace noise Count sketch

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Bringing Shades of Feminism to human-centered computing

Bringing Shades of Feminism to Human-Centered Computing

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CHI Conference on human Factors in computing Systems (CHI)

作者： Narvilkar, Manasee Mangiameli, Josiah Garcia, Adriana Alvarado Ismail, Azra Schiff, Daniel Schechter, Danielle Chen, Jordan Bhat, Karthik Wong-Villacres, Marisol Vasudeva, Anusha Ramesh, Aparna Dye, Michaelanne Karusala, Naveena Singh, Pragati Murthy, Savanthi Gupta, Shubhangi Lakshmi, Udaya Kumar, Neha Georgia Inst Technol Atlanta GA 30332 USA Univ Washington Seattle WA 98195 USA

This consolidation of 18 stories from students and researchers of human-centered computing (HCC) represents only some of the diverse shades of feminism that are present and emerging in our discipline. These stories-ou... 详细信息

ISBN: (纸本)9781450359719

关键词： human-centered computing feminism stories

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Enhancing End User Access to Cultural Heritage Systems: Tailored Narratives and human-centered computing

Enhancing End User Access to Cultural Heritage Systems: Tail...

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17th International Conference on Image Analysis and Processing (ICIAP)

作者： Agosti, Maristella Manfioletti, Marta Orio, Nicola Ponchia, Chiara Univ Padua Dept Informat Engn I-35100 Padua Italy Univ Padua Dept Cultural Heritage Padua Italy

ISBN: (纸本)9783642411892;9783642411908

This paper reports on the results of a study that aims to support end users of a multimedia system that manages a digital cultural heritage collection. The system is provided with automatic tools that simulate the behavior of the research method adopted by professional users when they interact with the multimedia application. The experimental results have been obtained using a multimedia application that manages the digital representation of historical botanical manuscripts.

关键词： Cultural heritage systems multimedia systems human-centered computing history of art research method digital archives illuminated manuscripts historical botanical manuscripts recommendation

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Expanded interactions: broadening human-centered computing 98

Expanded interactions: broadening human-centered computing

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Proceedings of the third international ACM conference on Assistive technologies

作者： Richard A. Foulds Arthur W. Joyce University of Delaware 1600 Rockland Road Wilmington DE

ISBN: (纸本)9781581130201

n this paper, we describe the preliminary results of an NSF sponsored invitational workshop entitled Expanded Interaction: Broadening human-centered computing. The workshop brought together members of academia, industry and government, as well as individuals with disabilities to examine the commonalities and expansion of human-computer interaction and universal design. The underlying theme was to encourage a scientific understand of the diversity of human performance.

关键词： telecommunications universal access intermedia human-centered computing disabilities multimodal

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Learning from Wireless: a Prospective Approach to human-centered computing

Learning from Wireless: a Prospective Approach to Human-Cent...

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International Joint Conference on Neural Networks

作者： Yong Lu Shaohe Lv Xue Yang Xiaodong Wang Minne Li Xingming Zhou Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology

ISBN: (纸本)9781509006212

One of the most important topics in human-centered computing (HCC) is to recognise human's activities. In this paper, the technology of wireless-based activity recognition is introduced. By using wireless signals, one can achieve Non-Line-Of-Sight (NLOS) recognition without carrying any devices. Also, it is easy to deploy a wireless-based recognition system due to the ubiquity of wireless communication systems. The basic idea is to detect different characteristics of signal propagation that correspond to the distinct human behaviors. As a result, action recognition is performed by analyzing the distinguishable features of signal propagation. This paper introduces the basic principles and applications of wireless-based activity recognition, and discusses the challenges and related performance metrics. Finally, open problems are discussed to point out the future research trends.

关键词： human-centered computing wireless Wireless communication systems Activity recognition recognition system Performance metrics signals Learning Paper Technology human behavior

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Focus on People: Five Questions from human-centered computing 22

Focus on People: Five Questions from Human-Centered Computin...

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Proceedings of the 2022 International Conference on Multimodal Interaction

作者： Daniel Gatica-Perez Social Computing Group Idiap Research Institute Switzerland and School of Engineering and College of Humanities Ecole Polytechnique Federale de Lausanne (EPFL) Switzerland

ISBN: (纸本)9781450393904

A substantial body of research in multimodal interaction has studied how people naturally interact –face-to-face and through machines– and developed technology to analyze, support, and extend such forms of interaction. The talk will share personal experiences and views on how audio-visual and ubiquitous research on social interaction has evolved over the past two decades. Five recurrent questions, then and now, include how to study interaction in everyday life; how to learn from and collaborate with the humanities and social sciences; how to think about data; how to address the challenges brought by automation; and how to engage and empower individuals and communities to take part in research projects. Today, the limitations of technology-centric solutions are more evident than ever. Future research with a people-first focus will continue to call for reflection, commitment, and action for a long-term alignment with societal needs and nature’s limits.

关键词： social interaction human-centered computing interaction in everyday life

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Exploring annotation taxonomy in grouped bar charts: A qualitative classroom study

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INFORMATION VISUALIZATION 2025年第1期24卷 79-94页

作者： Rahman, Md Dilshadur Quadri, Ghulam Jilani Szafir, Danielle Albers Rosen, Paul Univ Utah Sci Comp & Imaging Inst 72 Cent Campus Dr Salt Lake City UT 84112 USA Univ Oklahoma Sch Comp Sci Norman OK USA Univ North Carolina Chapel Hill Dept Comp Sci Chapel Hill NC 27599 USA

Annotations are an essential part of data analysis and communication in visualizations, which focus a readers attention on critical visual elements (e.g. an arrow that emphasizes a downward trend in a bar chart). Annotations enhance comprehension, mental organization, memorability, user engagement, and interaction and are crucial for data externalization and exploration, collaborative data analysis, and narrative storytelling in visualizations. However, we have identified a general lack of understanding of how people annotate visualizations to support effective communication. In this study, we evaluate how visualization students annotate grouped bar charts when answering high-level questions about the data. The resulting annotations were qualitatively coded to generate a taxonomy of how they leverage different visual elements to communicate critical information. We found that the annotations used significantly varied by the task they were supporting and that whereas several annotation types supported many tasks, others were usable only in special cases. We also found that some tasks were so challenging that ensembles of annotations were necessary to support the tasks sufficiently. The resulting taxonomy of approaches provides a foundation for understanding the usage of annotations in broader contexts to help visualizations achieve their desired message.

关键词： human-centered computing visualization empirical study bar chart annotation taxonomy

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Beyond the Screen With DanceSculpt: A 3D Dancer Reconstruction and Tracking System for Learning Dance

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INTERNATIONAL JOURNAL OF human-COMPUTER INTERACTION 2025年第9期41卷 5406-5419页

作者： Lee, Sanghyub Kang, Woojin Hong, Jin-Hyuk Kong, Duk-Jo Gwangju Inst Sci & Technol Sch Integrated Technol Gwangju South Korea Gwangju Inst Sci & Technol AI Grad Sch Gwangju South Korea Gwangju Inst Sci & Technol Ctr Res Innovat Gwangju South Korea

Dance learning through online videos has gained popularity, but it presents challenges in providing comprehensive information and personalized feedback. This paper introduces DanceSculpt, a system that utilizes 3D human reconstruction and tracking technology to enhance the dance learning experience. DanceSculpt consists of a dancer viewer that reconstructs dancers in video into 3D avatars and a dance feedback tool that analyzes and compares the user's performance with that of the reference dancer. We conducted a comparative study to investigate the effectiveness of DanceSculpt against conventional video-based learning. Participants' dance performances were evaluated using a motion comparison algorithm that measured the temporal and spatial deviation between the users' and reference dancers' movements in terms of pose, trajectory, formation, and timing accuracy. Additionally, user experience was assessed through questionnaires and interviews, focusing on aspects such as effectiveness, usefulness, and satisfaction with the system. The results showed that participants using DanceSculpt achieved significant improvements in dance performance compared to those using conventional methods. Furthermore, the participants rated DanceSculpt highly in terms of effectiveness (avg. 4.27) and usefulness (avg. 4.17) for learning dance. The DanceSculpt system demonstrates the potential of leveraging 3D human reconstruction and tracking technology to provide a more informative and interactive dance learning experience. By offering detailed visual information, multiple viewpoints, and quantitative performance feedback, DanceSculpt addresses the limitations of traditional video-based learning and supports learners in effectively analyzing and improving their dance skills.

关键词： human computer interaction human-centered computing dance support tool dance learning 3D human reconstruction

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