# Group Movie Selection using Multi-channel Emotion Recognition

arXiv: https://arxiv.org/abs/2403.12087 · HTML: https://mlsanity.com/paper/2403.12087/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Mar 2024.

## Built on by (most cited first, 2 of 2)

- [Tracking Emotional Dynamics in Chat Conversations: A Hybrid Approach using DistilBERT and Emoji Sentiment Analysis](https://mlsanity.com/paper/2408.01838/) (2024)
- [Multi-channel Emotion Analysis for Consensus Reaching in Group Movie Recommendation Systems](https://mlsanity.com/paper/2404.13778/) (2024)

## Abstract (arXiv)

Social activities often done in groups include watching television or movies. Choosing a film that appeals to the emotional inclinations of a varied group can be tricky. One of the most difficult aspects of making group movie suggestions is achieving agreement among members. At the same time, emotion is the most important component that connects the film and the viewer. Current research proposes a methodology for group movie selection that employs emotional analysis from numerous sources, such as film posters, soundtracks, and text. Our research stands at the intersection of emotion recognition technology in music, text, color images, and group decision-making, providing a practical tool for navigating the complex dynamics of film selection in a group setting. The survey participants were given emotion categories and asked to select the emotions that best suited a particular movie. Preliminary comparison results between real and predicted scores show the effectiveness of using emotion detection for group movie recommendation. Such systems have the potential to enhance movie recommendation systems.