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Journal of Social computing 2020年第1期1卷 1-13页

作者： James Evans University of Chicago ChicagoIL 60637and Santa Fe InstituteSanta FeNM 87501USA.

Social computing is ubiquitous and intensifying in the 21st *** used to reference computational augmentation of social interaction through collaborative filtering,social media,wikis,and crowdsourcing,here I propose to expand the concept to cover the complete dynamic interface between social interaction and computation,including computationally enhanced sociality and social science,socially enhanced computing and computer science,and their increasingly complex combination for mutual *** recommends that we reimagine Computational Social Science as Social computing,not merely using computational tools to make sense of the contemporary explosion of social data,but also recognizing societies as emergent computers of more or less collective intelligence,innovation and *** further proposes we imagine a socially inspired computer science that takes these insights into account as we build machines not merely to substitute for human cognition,but radically complement *** leads to a vision of social computing as an extreme form of human computer interaction,whereby machines and persons recursively combine to augment one another in generating collective intelligence,enhanced knowledge,and other social goods unattainable without each *** the example of science and technology,I illustrate how progress in each of these areas unleash advances in the others and the beneficial relationship between the technology and science of social computing,which reveals limits of sociality and computation,and stimulates our imagination about how they can reach past those limits together.

关键词： social computing complex systems computer supported cooperative work computational social science artificial intelligence human computer interaction human-centered computing

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Establishing Design computing and Extended Reality Facilities for Remote Virtual Reality Training

Establishing Design Computing and Extended Reality Facilitie...

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30th IEEE Conference Virtual Reality and 3D User Interfaces (IEEE VR)

作者： Yu, Lap-Fai Li, Changyang Zhang, Yongqi Alghofaili, Rawan Huang, Haikun Yu, Liuchuan Liu, Huimin Choi, Minsoo Bannan, Brenda Mousas, Christos George Mason Univ Fairfax VA 22030 USA Purdue Univ W Lafayette IN 47907 USA

ISBN: (纸本)9798350348392

We discuss the existing facilities at the Design computing and Extended Reality (DCXR) Lab at George Mason University, which comprise mostly commercial off-the -shelf computing and extended reality devices, for conducting research on virtual reality -based training, We also share thoughts on extending the facilities for conducting more sophisticated virtual reality (VR) training research in the future, which features more advanced functionali ties such as remote VR training, adaptive training, and co-training in VR. In particular, we discuss a remote VR training platform to be established between George Mason University and Purdue University.

关键词： computing methodologies Computer graphics Graphics systems and interfaces Virtual reality human-centered computing human-computer interaction Interactionparadigms Virtual reality

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Crowdsourcing, Mixed Elastic Systems and human-Enhanced computing-A Survey

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IEEE TRANSACTIONS ON SERVICES computing 2018年第1期11卷 202-214页

作者： Jarrett, Julian Blake, M. Brian Saleh, Iman Drexel Univ Philadelphia PA 19104 USA Univ Technol Sch Comp & IT Kingston Jamaica Drexel Univ Philadelphia PA 19104 USA Intel Corp Santa Clara CA 95054 USA

State-of-the-art practices have recognized the utility of leveraging human intervention as a crucial aspect of modern computing systems. The emerging crowdsourcing paradigm is based on harnessing human intelligence, effort and rational behaviors to augment computation and analysis. In addition to the crowdsourcing paradigm, new techniques have emerged that incorporate machine and human computational resources together forming a hybrid intelligence when addressing complex problems and tasks. This combined technique is particularly impactful if human and machine contributions can scale automatically in response to their respective efficiency and effectiveness when addressing subsets of a bigger problem - an approach that we have named mixed elastic systems. In this survey, we highlight state-of-the-art projects that investigate crowdsourcing, hybrid intelligence systems and mixed elastic systems. We also present a taxonomy and classification of the broader domain of human-enhanced computing systems as it assimilates crowdsourcing, hybrid intelligence, and mixed elastic systems.

关键词： Computer-supported cooperative work human-centered computing human factors workflow management

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A TASK-ORIENTED computing SERVICE SHARING MODEL AND ITS APPLICATION TO TALENT TRAINING AND MANAGEMENT

A TASK-ORIENTED COMPUTING SERVICE SHARING MODEL AND ITS APPL...

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2nd IEEE International Conference on Cloud computing and Intelligent Systems (CCIS)

作者： Jun, Xue Liu, Zengliang Chinese Acad Sci Grad Univ Beijing 100049 Peoples R China Natl Def Univ Inst Informat Operat Beijing 100091 Peoples R China

ISBN: (纸本)9781467318556;9781467318570

The complexity of human-centered computing systems demands novel computing models that are capable of integrating various processes or algorithms into a working system with high scalability, which requires a transparent distributed architecture. This paper presents a task-oriented computing share model for the generalization of different processes, which provides a Quality of Service strategy for selecting a suitable computing resource. This model allows a system to be extended to specific applications without any consideration for common low-layer data processing. We also provide a methodology for designing an application related to talent training and management.

关键词： human-centered computing computing service share Talent training and management

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Ubiquitous Mining with Interactive Data Mining Agents

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Journal of Computer Science & Technology 2009年第6期24卷 1018-1027页

作者：吴信东朱兴全陈琪君王飞跃 School of Computer Science and Information Engineering Hefei University of Technology Department of Computer Science University of Vermont Faculty of Engineering and Information Technology University of Technology Institute of Automation Chinese Academy of Sciences

Due to the increasing availability and sophistication of data recording techniques, multiple information sources and distributed computing are becoming the important trends of modern information systems. Many applications such as security informatics and social computing require a ubiquitous data analysis platform so that decisions can be made rapidly under distributed and dynamic system environments. Although data mining has now been popularly used to achieve such goals, building a data mining system is, however, a nontrivial task, which may require a complete understanding on numerous data mining techniques as well as solid programming skills. Employing agent techniques for data analysis thus becomes increasingly important, especially for users not familiar with engineering and computational sciences, to implement an effective ubiquitous mining platform. Such data mining agents should, in practice, be intelligent, complete, and compact. In this paper, we present an interactive data mining agent - OIDM （online interactive data mining）, which provides three categories （classification, association analysis, and clustering） of data mining tools, and interacts with the user to facilitate the mining process. The interactive mining is accomplished through interviewing the user about the data mining task to gain efficient and intelligent data mining control. OIDM can help users find appropriate mining algorithms, refine and compare the mining process, and finally achieve the best mining results. Such interactive data mining agent techniques provide alternative solutions to rapidly deploy data mining techniques to broader areas of data intelligence and knowledge informaties.

关键词： information systems human-centered computing data mining intelligent agents

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A framework for tailorable games: toward inclusive end-user development of inclusive games

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UNIVERSAL ACCESS IN THE INFORMATION SOCIETY 2022年第1期21卷 193-237页

作者： Garcia, Franco Eusebio de Almeida Neris, Vania Paula Univ Fed Sao Carlos UFSCar Dept Comp DC Sao Carlos SP Brazil

One strategy toward universalizing play is enabling more people to develop their own games. In this paper, our efforts toward a framework for inclusive creation of inclusive games are discussed. The hypothesis is that if end-users used creation tools suitable to their interaction needs and followed a collaborative work model to iteratively improve accessibility features to be inserted into a software architecture able to modify human-computer interaction at use-time, then they would be able to create games satisfying heterogeneous interaction needs of possible players. To verify the hypothesis, the architecture, the collaborative work model, and a game creation platform (Lepi) were designed to support game creation and play activities. Abilities were focused to provide opportunities for contributions based on skills, interests, and knowledge of people. The framework was evaluated over ten meetings spanning four months by people with alcohol and drug addiction from a public healthcare service. With the framework, participants were able to create their own games despite their different interaction needs (including low literacy, no previous contact with computers, emotional disabilities). By following the collaborative work model, they enabled people with different interaction needs than their own to play their games. Hence, with the framework, opportunities were provided to enable people with different interaction needs to contribute, create, and play. Game creation became a jigsaw puzzle, on which each piece (contribution) allowed people to create and play according to their abilities and skills.

关键词： Game programming End-user development Game accessibility Universal design Meta-design human-centered computing

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Mobile edge assisted multi-view light field video system: Prototype design and empirical evaluation

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FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2024年 153卷 154-168页

作者： Pan, Yuxuan Luo, Kaiyue Liu, Yunming Xu, Chen Liu, Yu Zhang, Lin Beijing Univ Posts & Telecommun Sch Artificial Intelligence Beijing 100876 Peoples R China

Metaverse is recently envisioned as the main driver for immersive multimedia in future networks. Light field video (LFV), considered an intermediate transition scheme towards the metaverse, is conducive to sensing and reconstructing realistic scenes in the digital twins. However, the research on LFV systems still lacks comprehensive investigation, impeding their practical application. This paper addresses major technical challenges involved in LFV delivery through mobile networks, showing a trade-off between equipment cost, calibration effort, and workflow simplicity. It also considers the balance of communications and computations latency when maintaining reconstruction performance. Leveraging edge and cloud infrastructure, a novel Mobile Edge Assisted Multi-view Light-field-video System (MEAMLS) is proposed, integrating LFV collection, volumetric video construction, and an immersive viewing scheme. A custom-made LFV capture array is designed to capture real-world scenes, while employing a learning method-integrated edge server to facilitate adaptive LFV coding. Moreover, a fast sparse reconstruction algorithm is established, leveraging edge-cloud collaboration to minimize computation latency during volumetric video construction. Intelligent service for users is deployed on edge to enable viewport-driven virtual reality viewing. By providing an immersive visual experience, the proposed MEAMLS bridges the physical world and its digital twins. The system is prototyped on a realistic 5G network to empirically validate the performance under static and dynamic circumstances. Experimental results yield fundamental insights for designing mobile edge networks-assisted LFV system from the perspective of transmission resource, adaptability, and deployment.

关键词： Edge intelligence Light field video 5G resource management human-centered computing 3D reconstruction Prototype

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A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions

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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2009年第1期31卷 39-58页

作者： Zeng, Zhihong Pantic, Maja Roisman, Glenn I. Huang, Thomas S. Univ Illinois Beckman Inst Urbana IL 61801 USA Univ London Imperial Coll Sci Technol & Med Dept Comp London SW7 2AZ England Univ Twente Fac Elect Engn Math & Comp Sci Enschede Netherlands Univ Illinois Dept Psychol Champaign IL 61820 USA

Automated analysis of human affective behavior has attracted increasing attention from researchers in psychology, computer science, linguistics, neuroscience, and related disciplines. However, the existing methods typically handle only deliberately displayed and exaggerated expressions of prototypical emotions, despite the fact that deliberate behavior differs in visual appearance, audio profile, and timing from spontaneously occurring behavior. To address this problem, efforts to develop algorithms that can process naturally occurring human affective behavior have recently emerged. Moreover, an increasing number of efforts are reported toward multimodal fusion for human affect analysis, including audiovisual fusion, linguistic and paralinguistic fusion, and multicue visual fusion based on facial expressions, head movements, and body gestures. This paper introduces and surveys these recent advances. We first discuss human emotion perception from a psychological perspective. Next, we examine available approaches for solving the problem of machine understanding of human affective behavior and discuss important issues like the collection and availability of training and test data. We finally outline some of the scientific and engineering challenges to advancing human affect sensing technology.

关键词： Evaluation/methodology human-centered computing affective computing introductory survey

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Grammar-based procedural animations for motion graphics

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COMPUTERS & GRAPHICS-UK 2019年 78卷 97-107页

作者： Carra, Edoardo Santoni, Christian Pellacini, Fabio Univ Roma La Sapienza Dept Comp Sci Rome Italy

Motion graphics are a form of animation where several sets of shapes are choreographed together using a wide range of effects to produce compelling footage. We present a method to procedurally generate motion graphics. We formally model motion graphics with timeslice grammars, an extension of split and group grammars, that are able to control and manipulate both the temporal and spatial components of an animation. We are able to combine both these aspects by representing animations as sets of affine transformations sampled uniformly in both space and time. These transformations are controlled by the grammar. Shapes in our system are represented as highly tessellated polygons, and are animated by applying the affine transforms to each shape vertex given the vertex position and the animation time. We introduce a small set of operators showing how we can produce convincing animations, combining the expressive power of the grammar model, the composability of the operators with themselves, and the capabilities that derive from our shape representation. Throughout the paper, we show how timeslice grammars can, in few tens of seconds, produce a wide variety of animations that would take artists hours of tedious and time-consuming work. (C) 2018 Elsevier Ltd. All rights reserved.

关键词： human-centered computing Visualization Visualization techniques Visualization design and evaluation methods

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Using an Immersive Video Environment to Assess Pedestrians' Compliance With COVID Distance Keeping Interventions

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INTERACTING WITH COMPUTERS 2023年第5期35卷 628-636页

作者： Stenkamp, Jan Karic, Benjamin Scharf, Paula Verstegen, Judith A. Kray, Christian Univ Munster Inst Geoinformat Munster Germany Univ Utrecht Dept Human Geog & Spatial Planning Utrecht Netherlands

Physical distancing is a key measure to slow the spread of many highly infectious diseases, e.g. COVID-19. Streetscape interventions such as pedestrian signage can contribute to ensuring distances are kept, but it is unclear to what extent people comply with these in practice. This paper tackles this question using an immersive video environment to realistically simulate real-life streetscapes in the lab. In a controlled user study, we augmented panoramic video footage with pedestrian one-way street signage and recorded route decisions to assess compliance with distance keeping measures. Our results indicate that such signage affects routing decisions and can thus help pedestrians to avoid crowded situations where distance keeping is difficult. We also identified further factors affecting decisions and a correlation between intention to comply and actual compliance. The experimental method we used enabled us to effectively and safely carry out a study of a phenomenon that in the real world depends on interaction with the physical environment. This method may have applications in other areas in which simulations of physical environments are important.

关键词： empirical studies in HCI human-computer interaction (HCI) human-centered computing model development and analysis modeling and simulation computing methodologies

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