In this paper we report the results of a pilot study comparing the older and younger adults’ interaction with an Android TV application which enables users to detect errors in video subtitles. Overall, the interaction with the TV-mediated crowdsourcing system relying on language proficiency was seen as intuitive, fun and accessible, but also cognitively demanding; more so for younger adults who focused on the task of detecting errors, than for older adults who concentrated more on the meaning and edutainment aspect of the videos. We also discuss participants’ motivations and preliminary recommendations for the design of TV-enabled crowdsourcing tasks and subtitle QA systems.
CITATION STYLE
Skorupska, K., Núñez, M., Kopeć, W., & Nielek, R. (2019). A Comparative Study of Younger and Older Adults’ Interaction with a Crowdsourcing Android TV App for Detecting Errors in TEDx Video Subtitles. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11748 LNCS, pp. 455–464). Springer Verlag. https://doi.org/10.1007/978-3-030-29387-1_25
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