ECHO
AI Emotional Adaptive Feedback System
ECHO's Four Features
Recognizing Speaker Emotional Expression
Using recorded videos of speakers, ECHO analyzes facial expressions, voice tones, and word choices to identify the emotions conveyed by the speaker.
Predicting Audience Affective Engagement
Utilizing multimodal deep learning models, ECHO predicts audience affective engagement by analyzing the emotions elicited by speakers in their videos.
Identifying Key Emotional Expressions
For different speakers’ emotional expression styles, ECHO employs machine learning models to identify the facial expressions, voice tones, and word choices that significantly affect audience engagement.
Providing Personalized Feedback
Combining LLM and generative AI, ECHO offers adaptive feedback based on the speaker’s actual facial, paraverbal, and verbal emotive expressions in the video. This feedback helps enhance audience engagement, serving as an AI coach for the speaker’s emotional and presentation skills.
ECHO's Three-Step Process
Uploading Video File
After logging in, you can quickly upload videos from any device. Videos as short as five minutes are sufficient to meet ECHO’s analysis requirements.
Analyzing Emotional Expressions and Affective Engagement
AI recognizes the speaker’s facial, paraverbal, and verbal emotive expressions in videos and predicts audience affective engagement using deep learning models.
Providing Adaptive Feedback
Combining large language models (LLM) and generative AI, ECHO generates reports on speakers’ emotional expressions and identifies specific facial expressions, speech rates, tones, and word choices that can enhance audience engagement. It also offers an interactive interface to help speakers adjust their expression styles according to their preferences.
ECHO Applications
Employee Learning and Development
ECHO plays a crucial role in employee training and development by providing customized feedback reports. These reports help employees and managers enhance their emotional expression and communication skills, including presentation techniques, recruitment interviews, performance reviews, and exit interviews. ECHO serves as an essential tool for talent development, effectively promoting career growth and team collaboration.
Internal and External Trainer Training
For internal and external trainer training, teachers can use ECHO to analyze and improve their teaching expression methods. By conducting in-depth analysis of emotional expressions during the teaching process, teachers can understand which expression methods better engage students, thereby enhancing learning outcomes. This not only aids in the professional development of trainers but also improves overall teaching quality, viewership, and recommendation ratings.
Speech and Performance Optimization
For speakers, hosts, or influencers, ECHO provides a powerful tool to enhance their presentation effectiveness and audience engagement. By analyzing their facial expressions, voice tones, and word choices, ECHO offers real-time feedback to help speakers adjust their expressions based on audience reactions. This real-time adjustment capability significantly enhances the impact and appeal of their presentations.
Content Creation and Marketing
Content creators can use ECHO’s emotional analysis results to understand audience reactions and effectively adjust their expression methods, thereby increasing the attractiveness and impact of their content. Additionally, ECHO can analyze emotional expressions in advertisements, predict audience emotional reactions, and help marketing teams optimize ad content and sponsored expressions.