A Comparative Study of Younger and Older Adults' Interaction with a Crowdsourcing Android TV App for Detecting Errors in TEDx Video Subtitles
August 27, 2019 Β· Declared Dead Β· π IFIP TC13 International Conference on Human-Computer Interaction
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Authors
Kinga Skorupska, Manuel NΓΊΓ±ez, WiesΕaw KopeΔ, RadosΕaw Nielek
arXiv ID
1908.10078
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY,
cs.MM
Citations
4
Venue
IFIP TC13 International Conference on Human-Computer Interaction
Last Checked
4 months ago
Abstract
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 profficiency 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.
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