会议信息
CSCW 2023: ACM Conference on Computer Supported Cooperative Work
https://cscw.acm.org/2023/
截稿日期:
2023-01-15
通知日期:
会议日期:
2023-10-13
会议地点:
Minneapolis, Minnesota, USA
届数:
26
CCF: a   CORE: a   QUALIS: a1   浏览: 30590   关注: 58   参加: 2

征稿
We invite authors to submit papers that inform the design or deployment of collaborative or social systems; introduce novel systems, interaction techniques, or algorithms; or study existing collaborative or social practices. The scope of CSCW 2023 includes social computing and social media, crowdsourcing, open and remote collaboration, technologically enabled or enhanced communication, such as video-conferencing and other remote-presence technologies, CSCL, MOOCs and related educational technologies, multi-user input technologies, collocated work practices, work articulation and coordination, awareness, and information sharing. This scope spans socio-technical domains of work, home, education, healthcare, the arts, sociality, entertainment, and ethics. Papers can report on novel research results, designs, systems, or new ways of thinking about, studying, or supporting shared activities.

CSCW encourages papers that contribute to building CSCW systems, including (but not limited to) engineering and technical enablers for CSCW applications, methods, and techniques for new CSCW services and applications, and evaluation of both early-stage and fully built CSCW systems in lab or field settings.

To support diverse and high-quality contributions, CSCW uses a two-cycle review process with opportunity for major revisions reviewed by the same reviewers. Additionally, no arbitrary length limit is imposed on submissions. Accepted papers are published in the Proceedings of the ACM: Human Computer Interaction (PACM HCI) journal.

We invite contributions to CSCW across a variety of research techniques, methods, approaches, and domains, including:

    Social and crowd computing. Studies, theories, designs, mechanisms, systems, and/or infrastructures addressing social media, social networking, wikis, blogs, online gaming, crowdsourcing, collective intelligence, virtual worlds, or collaborative information behaviors.
    System development. Hardware, architectures, infrastructures, interaction design, technical foundations, algorithms, and/or toolkits that enable the building of new social and collaborative systems and experiences.
    Theory. Critical analysis or theory with clear relevance to the design or study of social and collaborative systems, within and beyond work settings.
    Empirical investigations. Findings, guidelines, and/or studies of practices, communication, collaboration, or use, as related to collaborative technologies.
    Data mining and modeling. Studies, analyses, and infrastructures for making use of large- and small-scale data.
    Methodologies and tools. Novel methods, or combinations of approaches and tools used in building collaborative systems or studying their use.
    Domain-specific social and collaborative applications. Including applications to healthcare, transportation, gaming, ICT4D, sustainability, education, accessibility, global collaboration, or other domains.
    Collaboration systems based on emerging technologies. Mobile and ubiquitous computing, game engines, virtual worlds, multi-touch, novel display technologies, vision and gesture recognition, big data, MOOCs, crowd labor markets, SNSs, or sensing systems.
    Ethics and policy implications. Analysis of the implications of socio-technical systems and the algorithms that shape them.
    Crossing boundaries. Studies, prototypes, or other investigations that explore interactions across disciplines, distance, languages, generations, and cultures, to help better understand how to transcend social, temporal, and/or spatial boundaries.
最后更新 Dou Sun 在 2022-09-25
录取率
时间提交数录取数录取率(%)
201449713427%
201339013935.6%
201241516439.5%
20041765330.1%
20021933920.2%
20001993618.1%
19982204118.6%
19962004221%
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