会议信息
MuC 2026: Mensch und Computer conference
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截稿日期:
2026-04-01
通知日期:
2026-05-20
会议日期:
2026-08-30
会议地点:
Duisburg, Germany
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征稿
Info at a Glance

    Submissions are due on Wednesday, April 1, 2026, AoE (Thursday, April 2, 2026, 2pm CEST) (NO EXTENSIONS).
    Submission length should reflect the contribution and typically range between 4,000 and 9,000 words. Excessively long papers (more than 12,000 words) may be desk-rejected.
    Submissions will be reviewed in a double-anonymous fashion.
    Submissions can be submitted in English or German.
    Submissions and camera-ready versions need to follow the respective ACM templates and the SIGCHI Accessibility guidelines: single-column Word Submission Template or single-column LaTeX using \documentclass[manuscript,review,anonymous]{acmart}.
    Submissions are handled through Precision Conference.

Call for Full Papers – Theme “Transforming Interactions”

The “Mensch und Computer” (MuC) conference, established in 2001, is one of Europe’s leading conference series on Human-Computer Interaction, and the  2026 edition will be held in Duisburg.

This year’s theme, “Transforming Interactions,” highlights the relationships between societies and interactive technologies, along with their potential for transformations. The term “transforming,” as a verb, emphasizes the role of HCI researchers and practitioners in shaping individual, social, and collective interactions, while as an adjective, it prompts us to critically examine the transformational power of digital technologies.

We particularly invite contributions that explore how digital technologies influence individual, social, and societal changes, provide examples of interactive technologies that facilitate transformations, and critically reflect on the futures of interactions within HCI. However, contributions are not required to relate to this theme.

Contribution Types

    Empirical-Qualitative, e.g., ethnography, qualitative user studies.
    Empirical-Quantitative, e.g., quantitative user studies, statistical methods, data modeling.
    Empirical-Mixed Methods, e.g., combined qualitative and quantitative empirical research.
    Technical, e.g., building novel systems, algorithms, visualizations, architectures, and implementing novel features in existing systems that consider human factors.
    Artifact-Design, e.g., research through design, envisionments, guidelines, methods, and techniques.
    Theoretical, e.g., conceptual frameworks, theoretical analysis, and essays.
    Meta-Research, e.g., meta-analyses, systematic reviews.
最后更新 Dou Sun 在 2026-04-01
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