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Technology and Quality of Life: Expl...
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Endicott College.
Technology and Quality of Life: Exploring an App Fast /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Technology and Quality of Life: Exploring an App Fast // Asim Javed.
作者:
Javed, Asim,
面頁冊數:
1 electronic resource (135 pages)
附註:
Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
提要註:
This study compared the impact of a voluntary exit/re-entry app fast (AF) and an apps as usual (AU) condition on quality of life (QoL) and daily screen time minutes. A total of 19 smartphone users across the United States, participated in the study, with 9 in the AF group and 10 in the AU group. Study variables and additional measures were also assessed for covariates, including phone pickups, phone notifications, a discounting parameter, and apps demand. Participants also shared their general experience through interviews. Both groups reported an increase in QoL from T1 and T2 with larger increases in the AU group. Further, daily screen time minutes decreased for the AF group from T1 to T2, and increased for the AU group from T1 to T2. At T3, for both QoL and daily screen time, averages returned close to T1 levels. Overall, none of the main dependent variables were statistically significant between- or within- groups. However, as an exploratory dependent variable, changes in discounting rates were statistically significant for the AF group between T1 and T2. In addition, correlation analyses indicated that discounting and demand may be related to phone pickups and notifications. One major limitation was that AF participants broke the fast multiple times during the intervention period. Future studies can explore the impact of other versions of app fasts that focus more specifically on app-specific goals, and their impact on QoL.
Contained By:
Dissertations Abstracts International85-12B.
標題:
Clinical psychology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30989417
ISBN:
9798382811741
Technology and Quality of Life: Exploring an App Fast /
Javed, Asim,
Technology and Quality of Life: Exploring an App Fast /
Asim Javed. - 1 electronic resource (135 pages)
Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
This study compared the impact of a voluntary exit/re-entry app fast (AF) and an apps as usual (AU) condition on quality of life (QoL) and daily screen time minutes. A total of 19 smartphone users across the United States, participated in the study, with 9 in the AF group and 10 in the AU group. Study variables and additional measures were also assessed for covariates, including phone pickups, phone notifications, a discounting parameter, and apps demand. Participants also shared their general experience through interviews. Both groups reported an increase in QoL from T1 and T2 with larger increases in the AU group. Further, daily screen time minutes decreased for the AF group from T1 to T2, and increased for the AU group from T1 to T2. At T3, for both QoL and daily screen time, averages returned close to T1 levels. Overall, none of the main dependent variables were statistically significant between- or within- groups. However, as an exploratory dependent variable, changes in discounting rates were statistically significant for the AF group between T1 and T2. In addition, correlation analyses indicated that discounting and demand may be related to phone pickups and notifications. One major limitation was that AF participants broke the fast multiple times during the intervention period. Future studies can explore the impact of other versions of app fasts that focus more specifically on app-specific goals, and their impact on QoL.
English
ISBN: 9798382811741Subjects--Topical Terms:
261137
Clinical psychology.
Subjects--Index Terms:
App fast
Technology and Quality of Life: Exploring an App Fast /
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This study compared the impact of a voluntary exit/re-entry app fast (AF) and an apps as usual (AU) condition on quality of life (QoL) and daily screen time minutes. A total of 19 smartphone users across the United States, participated in the study, with 9 in the AF group and 10 in the AU group. Study variables and additional measures were also assessed for covariates, including phone pickups, phone notifications, a discounting parameter, and apps demand. Participants also shared their general experience through interviews. Both groups reported an increase in QoL from T1 and T2 with larger increases in the AU group. Further, daily screen time minutes decreased for the AF group from T1 to T2, and increased for the AU group from T1 to T2. At T3, for both QoL and daily screen time, averages returned close to T1 levels. Overall, none of the main dependent variables were statistically significant between- or within- groups. However, as an exploratory dependent variable, changes in discounting rates were statistically significant for the AF group between T1 and T2. In addition, correlation analyses indicated that discounting and demand may be related to phone pickups and notifications. One major limitation was that AF participants broke the fast multiple times during the intervention period. Future studies can explore the impact of other versions of app fasts that focus more specifically on app-specific goals, and their impact on QoL.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30989417
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