Raymond Clark, Angel Lee, Eric Rackear

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There are two statistical tests for mean: 1) z test – Used for large samples (n ≥ 30) 1) t test – Used for small samples (n < 30)
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Presentation transcript:

Raymond Clark, Angel Lee, Eric Rackear Checkpoint Extension Raymond Clark, Angel Lee, Eric Rackear

Problem to be addressed Users find it cumbersome to navigate back to previously seen information on extensive/infinite scroll web pages Develop extension allowing users to quickly tag and get back to information.

Current system System closest to solving the problem is Scroll To Top Button Essentially the same thing as pressing “home” or “end” keys Does not give exact scroll locations at specific page points

Our system Bright Green Checkpoints made at user’s discretion Help menu that clearly tells what each shortcut key does Can add, remove, and cycle through checkpoints

User Study Conditions 16 participants 18-24 years old have at least moderate experience with computers and web-browsing use Google Chrome during the study

Results & Analysis To test if users would prefer our system more than the current one, we used the System Usability Scale from 0-100 P-value: 0.295 is greater than 0.10, meaning there is no evidence against the null hypothesis. We cannot reject the null hypothesis. Current System Our System mean 82.03 84.21 standard deviation 15.632 14.631

Results & Analysis To test if users would be able to retrieve previous information faster using our system, we used a scale from 1-5, 1 being the slowest, 5 being the fastest P-value: 0.067 is between 0.05 and 0.1, meaning there is weak evidence against the null hypothesis. We cannot reject the null hypothesis. Current System Our System mean 3.69 4.31 standard deviation 1.25 1.078

Conclusions Based on the means and standard deviations for both hypotheses, it is too close to tell whether one system rates higher than the other. Furthermore, at this time, we are unable to reject either of the null hypotheses. Overall, with further study, we might be able to see a better correlation between increased user satisfaction and the use of our system.