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Can smartphone reduce the rate of social exclusion?



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Group work. In-Depth Activity
Can smartphone reduce the rate of social exclusion?
Most smartphones could buffer against feelings of social exclusion. A study shows that having the phone, but not using it, dramatically reduced stress in social situations. Using the phone didn't help people feel less stressed, though it did help them feel less excluded.
ENHANCING

How does smartphones enhance users daily life?
Not only can you send texts, emails, and make calls, you have access to a full menu of computer capabilities as well. In other words, anything you can doona computer, you can perform on a smartphone. Plus, costs have comedown so much that a standard device now is within reach of most consumers.


SECTION F
The goal of this section is to use the design principles outlined in chapter one to rewrite sections C and D.
DESIGN PRINCIPLES WITH RESPECT TO SMARTPHONES.

Visibility: Because more and more young people are constantly presented with the opportunity to access information and connect to others via their smartphones, they report to be in a state of permanent alertness. In the current study, we define such a state as smartphone vigilance, an awareness that one can always get connected to others in combination with a permanent readiness to respond to incoming smartphone notifications.We hypothesized that constantly resisting the urge to interact with their phones draws on response inhibition, and hence interferes with students ability to inhibit prepotent responses in a concurrent task.

Feedback : This refers to the transmission of evaluative or corrective information about an action,
event, or process to the original or controlling source. Within the Design Thinking Process, feedback is something that should permeate the experience throughout its entire process.

Consistency: Smartphones afford users the ability to select their own mobile application repertoires through the installation of various applications. Theresa quantitative descriptive study of the types of applications that people commonly use, the amount of time they spend with these applications, the application combinations that they construct, the consistency of these combinations overtime, and the differences in these outcomes by demographic characteristics. Using a longitudinal dataset collected from a US. adult sample during the COVID-19 pandemic, the study leverages behavioral data collected via data donations to identify key application adoption patterns and shows that peoples mobile application repertoires are concentrated around a set of popular applications that is relatively consistent overtime. However, within this set there is considerable diversity between individuals and applications,
suggesting that quantifying smartphone usage with a single metric ‘screentime’ is unlikely to capture the full extent of media that users engage with.


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