Student Success Story: High Schooler's Paper Accepted to ACM ICMI 2025, the Top Multimodal Interaction Conference

A high school Astral Fellow had their paper accepted to the 27th ACM International Conference on Multimodal Interaction (ICMI 2025), the leading venue for research on how humans communicate through speech, gesture, gaze, and other modalities.

The Acceptance Email

One of our high school Astral Fellows received notification that their paper had been accepted to the 27th ACM International Conference on Multimodal Interaction (ICMI 2025). The paper was reviewed through the standard ACM peer review process, evaluated by experts in multimodal systems, affective computing, and human-computer interaction.

The paper now appears in the Companion Proceedings of the 27th ACM International Conference on Multimodal Interaction, published by the Association for Computing Machinery (ACM). It is permanently indexed in the ACM Digital Library, Google Scholar, Semantic Scholar, and DBLP, the same publication pipeline used for all ACM conference papers.

What Is ICMI?

The ACM International Conference on Multimodal Interaction (ICMI) is the premier conference for research on multimodal interaction, communication, and behavior analysis. It brings together researchers studying how humans express themselves through speech, gesture, facial expressions, gaze, body language, and physiological signals, and how AI systems can understand, model, and respond to these signals.

ICMI is sponsored by the Association for Computing Machinery (ACM), the world's largest computing professional society. The conference attracts submissions from leading research groups at CMU, MIT, University of Cambridge, TU Delft, and major industry labs including Google, Microsoft, and Amazon. Research published at ICMI has directly influenced the development of emotion recognition systems, virtual assistants, healthcare AI, and accessibility technologies.

• The premier conference for multimodal interaction and behavior analysis research
• Sponsored by ACM, the world's largest computing professional society
• Covers speech, gesture, facial expression, gaze, body language, and physiological signals
• Proceedings published in the ACM Digital Library, the gold standard for CS research
• Submissions from CMU, MIT, Cambridge, Google, Microsoft, and Amazon research labs
• Research directly impacts emotion AI, virtual assistants, healthcare, and accessibility

ICMI sits at the intersection of AI, psychology, and human-computer interaction. Papers published here have advanced the state of the art in sentiment analysis, depression detection, social signal processing, and embodied conversational agents. The conference is the venue of record for multimodal AI. Any researcher working on systems that process multiple communication channels cites ICMI papers.

Why This Is Remarkable for a High School Student

The fellow who received this acceptance is a high schooler who produced the work through the Astral Fellows AI research fellowship. Their paper went through ACM's peer review process, the same review pipeline used for every paper at the conference. The reviewers had no knowledge of the author's age or educational background when they evaluated the submission.

ICMI's typical author profile is a PhD student or faculty member specializing in HCI, affective computing, or multimodal machine learning. A high school student having work published in the ACM Digital Library through this venue is extraordinary. It demonstrates the ability to contribute meaningfully to a specialized research community that sits at the frontier of how humans and AI systems communicate.

For high school students interested in AI, human-computer interaction, cognitive science, or psychology, an ACM ICMI publication is a powerful credential. It signals to admissions committees and research labs that the student can produce work that meets the standards of one of the most interdisciplinary and rigorous venues in computing.

How the Research Was Produced

The paper was developed through the Astral Fellows Research Fellow track over a 12-week research cycle. The high school fellow was paired with a mentor experienced in multimodal AI and human-computer interaction. The process followed the standard academic research methodology: literature review, research gap identification, experiment design, iterative paper drafting with mentor feedback, mock peer review, and final submission.