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1.
Ian Gauk; Cor-Paul Bezemer
Detecting Discrepancies between Subtitles and Audio in Gameplay Videos with EchoTest Journal Article
IEEE Transactions on Games, 2024.
Abstract | BibTeX | Tags: Accessibility testing, Computer games, Game accessibility, Game development, Game testing
@article{Gauk_EchoTest,
title = {Detecting Discrepancies between Subtitles and Audio in Gameplay Videos with EchoTest},
author = {Ian Gauk and Cor-Paul Bezemer},
year = {2024},
date = {2024-07-30},
journal = {IEEE Transactions on Games},
abstract = {The landscape of accessibility features in video
games remains inconsistent, posing challenges for gamers who
seek experiences tailored to their needs. Accessibility features
such as subtitles are widely used by players but are difficult to
test manually due to the large scope of games and the variability
in how subtitles can appear.
In this paper, we introduce an automated approach
(ECHOTEST) to extract subtitles and spoken audio from a
gameplay video, convert them into text, and compare them to
detect discrepancies such as typos, desynchronization and missing
text. ECHOTEST can be used by game developers to identify
discrepancies between subtitles and spoken audio in their games,
enabling them to better test the accessibility of their games.
In an empirical study on gameplay videos from 15 popular
games, ECHOTEST can verify discrepancies between subtitles and
audio with a precision of 98% and a recall of 89%. In addition,
ECHOTEST performs well with a precision of 73% and a recall
of 99% on a challenging generated benchmark.},
keywords = {Accessibility testing, Computer games, Game accessibility, Game development, Game testing},
pubstate = {published},
tppubtype = {article}
}
The landscape of accessibility features in video
games remains inconsistent, posing challenges for gamers who
seek experiences tailored to their needs. Accessibility features
such as subtitles are widely used by players but are difficult to
test manually due to the large scope of games and the variability
in how subtitles can appear.
In this paper, we introduce an automated approach
(ECHOTEST) to extract subtitles and spoken audio from a
gameplay video, convert them into text, and compare them to
detect discrepancies such as typos, desynchronization and missing
text. ECHOTEST can be used by game developers to identify
discrepancies between subtitles and spoken audio in their games,
enabling them to better test the accessibility of their games.
In an empirical study on gameplay videos from 15 popular
games, ECHOTEST can verify discrepancies between subtitles and
audio with a precision of 98% and a recall of 89%. In addition,
ECHOTEST performs well with a precision of 73% and a recall
of 99% on a challenging generated benchmark.
games remains inconsistent, posing challenges for gamers who
seek experiences tailored to their needs. Accessibility features
such as subtitles are widely used by players but are difficult to
test manually due to the large scope of games and the variability
in how subtitles can appear.
In this paper, we introduce an automated approach
(ECHOTEST) to extract subtitles and spoken audio from a
gameplay video, convert them into text, and compare them to
detect discrepancies such as typos, desynchronization and missing
text. ECHOTEST can be used by game developers to identify
discrepancies between subtitles and spoken audio in their games,
enabling them to better test the accessibility of their games.
In an empirical study on gameplay videos from 15 popular
games, ECHOTEST can verify discrepancies between subtitles and
audio with a precision of 98% and a recall of 89%. In addition,
ECHOTEST performs well with a precision of 73% and a recall
of 99% on a challenging generated benchmark.