While considering the total UI interaction events generated in each app in isolation, analysis was undertaken based on gender, assessing each gender separately, followed by analyses across genders. Table 3 shows thecorrelation scoresfortheappsrelevantto HypothesesH2 and H3 and from the app categories that were found to be significantly correlated to SA. Consistent with the previous analysis of app categories,noneoftheCommunicationappsweresignificantlycorrelatedto SA. However, Snapchat, an app from the Social category, was found to be significantly correlated to SA ( == rp .386, .002). This is an interesting finding, consistent with Snapchat providing more than only functional user experience relating to pleasure and entertainment. However, in contrast to previous research (Punyanunt-Carter et al., 2017), addiction to Snapchat appears more significant than as for other social media applications. These results partially support Hypothesis H2, but the non-significant findings for the social media applications Facebook and Instagram were not foreseen. While Snapchat isnot classified inthe app store as a Communication application, aspects of its functionality lend themselves to aprocess oftargeted information exchange, lending some partial but weak support for Hypothesis H3. It is also notable that, while positive correlations were found for the Lifestyle category, Tinder, the only app analysed in isolation from this category had no significant correlation to SA