# EmoCo: Visual Analysis of Emotion Coherence in Presentation Videos

arXiv: https://arxiv.org/abs/1907.12918 · HTML: https://mlsanity.com/paper/1907.12918/

## Key facts

- Cited by 13 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 29 Jul 2019.

## Built on by (most cited first, 13 of 13)

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- [Multi-channel Emotion Analysis for Consensus Reaching in Group Movie Recommendation Systems](https://mlsanity.com/paper/2404.13778/) (2024)
- [POEM: Interactive Prompt Optimization for Enhancing Multimodal Reasoning of Large Language Models](https://mlsanity.com/paper/2406.03843/) (2024)
- [Probing Experts' Perspectives on AI-Assisted Public Speaking Training](https://mlsanity.com/paper/2507.07930/) (2025)
- [Visualizing Celebrity Dynamics in Video Content: A Proposed Approach Using Face Recognition Timestamp Data](https://mlsanity.com/paper/2510.03292/) (2025)

## Abstract (arXiv)

Emotions play a key role in human communication and public presentations. Human emotions are usually expressed through multiple modalities. Therefore, exploring multimodal emotions and their coherence is of great value for understanding emotional expressions in presentations and improving presentation skills. However, manually watching and studying presentation videos is often tedious and time-consuming. There is a lack of tool support to help conduct an efficient and in-depth multi-level analysis. Thus, in this paper, we introduce EmoCo, an interactive visual analytics system to facilitate efficient analysis of emotion coherence across facial, text, and audio modalities in presentation videos. Our visualization system features a channel coherence view and a sentence clustering view that together enable users to obtain a quick overview of emotion coherence and its temporal evolution. In addition, a detail view and word view enable detailed exploration and comparison from the sentence level and word level, respectively. We thoroughly evaluate the proposed system and visualization techniques through two usage scenarios based on TED Talk videos and interviews with two domain experts. The results demonstrate the effectiveness of our system in gaining insights into emotion coherence in presentations.