WatchLater An easier way to manage your videos Madison Hicks Brett Lindenberg David Zoellner

The Existing System – GoWatchIt

Our Interface - WatchLater

Hypothesis: Users would be more satisfied with our app, WatchLater. User Study Conditions Total number of Participants: 16 Equally Split between GoWatchIt and WatchLater Participants Per group: 8 Given a week to use their given interface Participants were made aware that there were two different apps being tested to dissuade any bias towards the experimenters Surveyed after the testing period using an identical questionnaire NULL Hypothesis: Users will equally or more satisfied with the WatchItLater than with the WatchLater interface. Hypothesis: Users would be more satisfied with our app, WatchLater.

Results & Analysis I am satisfied using this system. (1-Strongly Disagree; 10- Strongly Agree) How likely are you to recommend this app to a friend? (1-Not Likely; 10- Very Likely) GoWatchIt WatchLater 3 6 7 8 5 10 9 GoWatchIt WatchLater 1 6 8 7 10 4 5 9 t-value: t-value: +0.11 p-value: 0.5 p-value: 0.456985 Mean: 7.25 7.25 Mean: 7.125 7 Std.Dev: 2.05 1.49 Std.Dev: 2.95 1.60

Conclusions This p-value indicates that there is between a 45 and 50 percent chance that, were we to run this test again, the scores would invert. In addition, because the p-value is greater than five percent, we cannot reject the NULL hypothesis. The t-value tells us how likely it is that the two sets of scores came from different groups. The t-value is 0 for the first set of statistics because the means were equal and positive in the second set because mean for GoWatchIt was greater than that of WatchLater. The t-value being rather small implies that it is not likely that the two sets of score came from different groups. Because the p-value is greater than five percent, we cannot reject the NULL Hypothesis.