11 citations · 16 across the 5 of their papers we have counts for
5 papers
Frozen Multimodal Embeddings for AI-Assisted Interview Assessment of Personality and Cognitive Ability
Kuo-En Hung, Hung-Yue Suen, Shih-Ching Yeh +1
Predicting psychological traits from asynchronous video interviews (AVIs) is a challenging problem in AI-assisted interview assessment because labeled datasets are limited while ea…
An Interpretable Closed-Loop Intelligent Tutoring System for Multimodal Affective Feedback in Asynchronous Presentation Training
Hung-Yue Suen, Kuo-En Hung
This paper presents an interpretable closed-loop Intelligent Tutoring System (ITS) that supports feedback-guided practice for developing on-camera oral presentation skills at scale…
Teachers' Vocal Expressions and Student Engagement in Asynchronous Video Learning
Hung-Yue Suen, Yu-Sheng Su
Asynchronous video learning, including massive open online courses (MOOCs), offers flexibility but often lacks students' affective engagement. This study examines how teachers' ver…
Artificial Intelligence can Recognize Whether a Job Applicant is Selling and/or Lying According to Facial Expressions and Head Movements Much More Correctly Than Human Interviewers
Hung-Yue Suen, Kuo-En Hung, Che-Wei Liu +2
Whether an interviewee's honest and deceptive responses can be detected by facial expression signals in videos has been debated and requires further research. We developed deep lea…
Dual-Model Prediction of Affective Engagement and Vocal Attractiveness from Speaker Expressiveness in Video Learning
Hung-Yue Suen, Kuo-En Hung, Fan-Hsun Tseng
This paper outlines a machine learning-enabled speaker-centric Emotion AI approach capable of predicting audience-affective engagement and vocal attractiveness in asynchronous vide…