Useful but Distracting: Keyword Highlights and Time-Synchronization in Captions for Language Learning

07/12/2023
by   Fiona Draxler, et al.
0

Captions provide language learners with a scaffold for comprehension and vocabulary acquisition. Past work has proposed several enhancements such as keyword highlights for increased learning gains. However, little is known about learners' experience with enhanced captions, although this is critical for adoption in everyday life. We conducted a survey and focus group to elicit learner preferences and requirements and implemented a processing pipeline for enhanced captions with keyword highlights, time-synchronized keyword highlights, and keyword captions. A subsequent online study (n = 49) showed that time-synchronized keyword highlights were the preferred design for learning but were perceived as too distracting to replace standard captions in everyday viewing scenarios. We conclude that keyword highlights and time-synchronization are suitable for integrating learning into an entertaining everyday-life activity, but the design should be optimized to provide a more seamless experience.

READ FULL TEXT
research
02/01/2023

Visually Grounded Keyword Detection and Localisation for Low-Resource Languages

This study investigates the use of Visually Grounded Speech (VGS) models...
research
06/04/2022

Automated Audio Captioning with Epochal Difficult Captions for Curriculum Learning

In this paper, we propose an algorithm, Epochal Difficult Captions, to s...
research
07/02/2022

VocabulARy: Learning Vocabulary in AR Supported by Keyword Visualisations

Learning vocabulary in a primary or secondary language is enhanced when ...
research
01/25/2020

Learning To Detect Keyword Parts And Whole By Smoothed Max Pooling

We propose smoothed max pooling loss and its application to keyword spot...
research
10/26/2022

Live Captions in Virtual Reality (VR)

Few VR applications and games implement captioning of speech and audio c...
research
02/02/2022

Keyword localisation in untranscribed speech using visually grounded speech models

Keyword localisation is the task of finding where in a speech utterance ...

Please sign up or login with your details

Forgot password? Click here to reset