A Comparative Study of Younger and Older Adults' Interaction with a Crowdsourcing Android TV App for Detecting Errors in TEDx Video Subtitles
This work addresses the design of TV-enabled crowdsourcing systems for subtitle quality assurance, targeting diverse age groups, but it is incremental as it builds on existing crowdsourcing and human-computer interaction research.
The study compared how younger and older adults interact with an Android TV app for crowdsourcing error detection in TEDx video subtitles, finding that younger adults focused more on error detection while older adults prioritized meaning and edutainment, with the system perceived as intuitive but cognitively demanding.
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.