PolyPresentation: A Multimodal AI Platform for Slide-Aware Iterative Presentation Practice
Presentations are essential for students, researchers, and professionals to communicate ideas persuasively, yet delivering them effectively requires repeated practice that coordinates content, delivery, visual materials, and audience interaction. Existing AI-assisted rehearsal tools provide scalable feedback, but they often treat presentations as single-run delivery performances, offering limited support for linking feedback to the slide deck or planning what to practice in the next iteration. T
Record details
Published: 13 August 2026
Source: arXiv cs.HC
Category: Research
Topics: Children & education
Retrieved: 14 August 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Wearable digitally augmented mask to support greeting games for autistic children: A preliminary study
International Journal of Human-Computer Studies · 13 August 2026
How effective are VLMs in assisting humans in inferring the quality of mental models from Multimodal short answers?
arXiv cs.CY · 13 August 2026
Structural Silence: When AI Infrastructure Fails Speakers of Underrepresented Languages
arXiv cs.CY · 13 August 2026
A Conceptual Framework for Enhancing Workforce Readiness for Smart Manufacturing in the AI Era
arXiv cs.CY · 13 August 2026
Towards Sustainable Learning in Online Education: A Reinforcement Learning Approach
arXiv cs.CY · 13 August 2026
Teaching a Large Language Model Tutor to Withhold the Answer: A Supervisor Architecture and an Evidence-Driven Method for Tuning Socratic Behavior
arXiv cs.CY · 13 August 2026
How to cite this record
ethics.ai (13 August 2026), “PolyPresentation: A Multimodal AI Platform for Slide-Aware Iterative Presentation Practice,” evidence record 19451, https://ethics.ai/record/19451 (originally published by arXiv cs.HC).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.