Laugh at Your Own Pace: Basic Performance Evaluation of Language Learning Assistance by Adjustment of Video Playback Speeds Based on Laughter Detection
Naoto Nishida, Hinako Nozaki, Buntarou Shizuki
TL;DR
The paper addresses L2 learners' difficulty processing native-speed videos during Extensive Viewing. It introduces an automated playback-speed system that modulates speed based on laughter-detected comprehension signals from facial expressions, bounded by $0.6x$ to $1.0x$ and adjusted in $±0.1x$ steps. The authors validate laughter as a proxy for understanding and demonstrate notable gains in comprehension for learners with TOEIC scores under $700$, while also reducing mental workload and preserving usability. Overall, the approach broadens access to authentic video materials for low-proficiency L2 learners and offers a practical, low-friction tool for Extended Viewing practice.
Abstract
Among various methods to learn a second language (L2), such as listening and shadowing, Extensive Viewing involves learning L2 by watching many videos. However, it is difficult for many L2 learners to smoothly and effortlessly comprehend video contents made for native speakers at the original speed. Therefore, we developed a language learning assistance system that automatically adjusts the playback speed according to the learner's comprehension. Our system judges that learners understand the contents if they laugh at the punchlines of comedy dramas, and vice versa. Experimental results show that this system supports learners with relatively low L2 ability (under 700 in TOEIC Score in the experimental condition) to understand video contents. Our system can widen learners' possible options of native speakers' videos as Extensive Viewing material.
