Interpreting ICMI 2026 Review Scores
๐กLearn how to interpret conference review scores and optimize your rebuttal strategy for better acceptance odds.
โก 30-Second TL;DR
What Changed
Submission received 4/3/4 ratings (Probably Accept/Borderline/Probably Accept).
Why It Matters
Understanding review patterns helps researchers better prepare rebuttals and manage expectations for conference acceptance.
What To Do Next
Focus your rebuttal on addressing the specific soundness concerns raised by the borderline reviewer to improve your chances.
Key Points
- โขSubmission received 4/3/4 ratings (Probably Accept/Borderline/Probably Accept).
- โขReviewer with high expertise recommended acceptance despite minor soundness concerns.
- โขCommunity discussion focuses on the impact of the rebuttal phase on borderline papers.
๐ง Deep Insight
Web-grounded analysis with 7 cited sources.
๐ Enhanced Key Takeaways
- โขThe ACM International Conference on Multimodal Interaction (ICMI) is recognized as the premier international forum for multidisciplinary research in multimodal human-human and human-computer interaction.
- โขICMI's paper review process typically utilizes a double-blind methodology, where both authors and reviewers remain anonymous to each other to help ensure impartiality.
- โขReview scores, such as the 4/3/4 mentioned, are not simply averaged; the overall summary score is the primary criterion for acceptance, and it is heavily influenced by detailed qualitative feedback provided by reviewers.
- โขThe rebuttal phase is a crucial period for authors to respond to reviewer critiques, particularly for submissions with borderline scores, and can significantly impact the final acceptance decision by the program committee.
- โขThe specific theme for ICMI 2026 is 'Context and Cultural Awareness for Multimodal Interaction,' encouraging submissions that explore how cultural and contextual factors influence the design, implementation, and evaluation of multimodal interaction systems.
๐ฎ Future ImplicationsAI analysis grounded in cited sources
โณ Timeline
๐ Sources (7)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
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