2223: Screen Time - Revision history

Kapostamas: Undo revision 284622 by 108.162.246.154 (talk)

2022-05-30T21:56:17Z

Undo revision 284622 by 108.162.246.154 (talk)

108.162.246.154: /* Explanation */

2022-05-30T21:42:31Z

‎Explanation

Ncpenguin: Undo revision 271159 by Explain xkcd server admin (talk)

2022-05-21T02:51:58Z

Undo revision 271159 by Explain xkcd server admin (talk)

Show changes

Explain xkcd server admin at 21:40, 20 May 2022

2022-05-20T21:40:48Z

Show changes

Theusaf: Reverted edits by 👖🔥 (talk) to last revision by Jacky720

2022-05-11T18:43:42Z

Reverted edits by 👖🔥 (talk) to last revision by Jacky720

Show changes

👖🔥 at 17:52, 11 May 2022

2022-05-11T17:52:36Z

Show changes

Jacky720: rv

2022-05-04T23:49:07Z

Show changes

Ex Kay Cee Dee at 23:49, 4 May 2022

2022-05-04T23:49:03Z

Show changes

Jacky720: rv

2022-05-04T23:48:50Z

Show changes

Ex Kay Cee Dee at 23:48, 4 May 2022

2022-05-04T23:48:48Z

Show changes

@@ Line 8: / Line 8: @@
 ==Explanation==
-[[Curveball]] is reading the report from a smartphone app showing the average time each day that he was NOT looking at his phone during the hours he was awake this last week.  This is a reversal of the more expected behavior for a {{w|screen time|screen-time}} app, which would normally report the amount of time spent looking at the screen. The point is that as mobile phone usage becomes more prevalent, it may be easier to comprehend to report non-screen time.
+[[Cueball]] is reading the report from a smartphone app showing the average time each day that he was NOT looking at his phone during the hours he was awake this last week.  This is a reversal of the more expected behavior for a {{w|screen time|screen-time}} app, which would normally report the amount of time spent looking at the screen. The point is that as mobile phone usage becomes more prevalent, it may be easier to comprehend to report non-screen time.
 People in the US spent an average of 24 hours of non-work/education screen time per week in 2015, compared to 10 hours of active leisure, according to one estimate.[[https://www.brookings.edu/blog/social-mobility-memos/2016/09/13/how-free-time-became-screen-time/ How free time became screen time]]  Averaged per day that comes to 3.4 hours screen time and 1.4 hours active leisure.
@@ Line 14: / Line 14: @@
 Screen time may be associated with various undesirable conditions, such as mental health difficulties like depression, decreased activity, reduced sleep quality and quantity.
-In Curveball's particular case, if we assume that he is awake 17 hours a day (the average for most people in USA), then his non-screen time average of 2 hours 48 minutes means that he spent more than 84% of his awake time last week looking at a screen. This means that while his 6% improvement is positive, he still has quite a significant habit. His previous non-screen-time would have been 2 hours 38 minutes, so he has managed to shave 10 minutes off.  Increased screen time often comes at the expense of decreased sleep time, so it may not be fair to assume a constant amount of sleep.<ref>[[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5279707 Digital media use in the 2 h before bedtime is associated with sleep variables in university students]]</ref><ref>[[https://www.sciencedirect.com/science/article/abs/pii/S1389945717303507 Decreases in self-reported sleep duration among U.S. adolescents 2009–2015 and association with new media screen time]]</ref>
+In Cueball's particular case, if we assume that he is awake 17 hours a day (the average for most people in USA), then his non-screen time average of 2 hours 48 minutes means that he spent more than 84% of his awake time last week looking at a screen. This means that while his 6% improvement is positive, he still has quite a significant habit. His previous non-screen-time would have been 2 hours 38 minutes, so he has managed to shave 10 minutes off.  Increased screen time often comes at the expense of decreased sleep time, so it may not be fair to assume a constant amount of sleep.<ref>[[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5279707 Digital media use in the 2 h before bedtime is associated with sleep variables in university students]]</ref><ref>[[https://www.sciencedirect.com/science/article/abs/pii/S1389945717303507 Decreases in self-reported sleep duration among U.S. adolescents 2009–2015 and association with new media screen time]]</ref>
-Ironically, in order for Curveball to use the app, he has to be looking at his mobile screen. The increasing use of mobile devices in modern society has been a cause for concern, with many people arguing this leads to addiction, other health risks, or people simply not talking to each other.
+Ironically, in order for Cueball to use the app, he has to be looking at his mobile screen. The increasing use of mobile devices in modern society has been a cause for concern, with many people arguing this leads to addiction, other health risks, or people simply not talking to each other.
 The title text parodies the idea of a screen time app by describing a "shoe time" app, which would track the amount of time a person spends wearing shoes. It's unclear what the practical use for this would be, as there is little controversy about the prevalence of shoes in our society. Possibly an app that tracks the amount of time wearing ''specific'' shoes could be useful; for example, a person suffering medical problems from wearing the wrong footwear could track the amount of time they spend wearing particular shoes, and correlate this with their health to figure out which ones are causing problems.

@@ Line 8: / Line 8: @@
 ==Explanation==
-[[Cueball]] is reading the report from a smartphone app showing the average time each day that he was NOT looking at his phone during the hours he was awake this last week.  This is a reversal of the more expected behavior for a {{w|screen time|screen-time}} app, which would normally report the amount of time spent looking at the screen. The point is that as mobile phone usage becomes more prevalent, it may be easier to comprehend to report non-screen time.
+[[Curveball]] is reading the report from a smartphone app showing the average time each day that he was NOT looking at his phone during the hours he was awake this last week.  This is a reversal of the more expected behavior for a {{w|screen time|screen-time}} app, which would normally report the amount of time spent looking at the screen. The point is that as mobile phone usage becomes more prevalent, it may be easier to comprehend to report non-screen time.
 People in the US spent an average of 24 hours of non-work/education screen time per week in 2015, compared to 10 hours of active leisure, according to one estimate.[[https://www.brookings.edu/blog/social-mobility-memos/2016/09/13/how-free-time-became-screen-time/ How free time became screen time]]  Averaged per day that comes to 3.4 hours screen time and 1.4 hours active leisure.
@@ Line 14: / Line 14: @@
 Screen time may be associated with various undesirable conditions, such as mental health difficulties like depression, decreased activity, reduced sleep quality and quantity.
-In Cueball's particular case, if we assume that he is awake 17 hours a day (the average for most people in USA), then his non-screen time average of 2 hours 48 minutes means that he spent more than 84% of his awake time last week looking at a screen. This means that while his 6% improvement is positive, he still has quite a significant habit. His previous non-screen-time would have been 2 hours 38 minutes, so he has managed to shave 10 minutes off.  Increased screen time often comes at the expense of decreased sleep time, so it may not be fair to assume a constant amount of sleep.<ref>[[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5279707 Digital media use in the 2 h before bedtime is associated with sleep variables in university students]]</ref><ref>[[https://www.sciencedirect.com/science/article/abs/pii/S1389945717303507 Decreases in self-reported sleep duration among U.S. adolescents 2009–2015 and association with new media screen time]]</ref>
+In Curveball's particular case, if we assume that he is awake 17 hours a day (the average for most people in USA), then his non-screen time average of 2 hours 48 minutes means that he spent more than 84% of his awake time last week looking at a screen. This means that while his 6% improvement is positive, he still has quite a significant habit. His previous non-screen-time would have been 2 hours 38 minutes, so he has managed to shave 10 minutes off.  Increased screen time often comes at the expense of decreased sleep time, so it may not be fair to assume a constant amount of sleep.<ref>[[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5279707 Digital media use in the 2 h before bedtime is associated with sleep variables in university students]]</ref><ref>[[https://www.sciencedirect.com/science/article/abs/pii/S1389945717303507 Decreases in self-reported sleep duration among U.S. adolescents 2009–2015 and association with new media screen time]]</ref>
-Ironically, in order for Cueball to use the app, he has to be looking at his mobile screen. The increasing use of mobile devices in modern society has been a cause for concern, with many people arguing this leads to addiction, other health risks, or people simply not talking to each other.
+Ironically, in order for Curveball to use the app, he has to be looking at his mobile screen. The increasing use of mobile devices in modern society has been a cause for concern, with many people arguing this leads to addiction, other health risks, or people simply not talking to each other.
 The title text parodies the idea of a screen time app by describing a "shoe time" app, which would track the amount of time a person spends wearing shoes. It's unclear what the practical use for this would be, as there is little controversy about the prevalence of shoes in our society. Possibly an app that tracks the amount of time wearing ''specific'' shoes could be useful; for example, a person suffering medical problems from wearing the wrong footwear could track the amount of time they spend wearing particular shoes, and correlate this with their health to figure out which ones are causing problems.