TY - JOUR
T1 - Changes in the use of mobile devices during the crisis
T2 - Immediate response to the COVID-19 pandemic
AU - Katsumata, Sotaro
AU - Ichikohji, Takeyasu
AU - Nakano, Satoshi
AU - Yamaguchi, Shinichi
AU - Ikuine, Fumihiko
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Number 17H02573 , 18K01788 , 20K13583 , 21H00757 , and 21K12586 .
Publisher Copyright:
© 2022 The Authors
PY - 2022/3
Y1 - 2022/3
N2 - We analyze the smartphone usage behavior of individuals against the background of the spread of the coronavirus disease (COVID-19) to classify usage behaviors and examine the factors that lead to change. Specifically, we examine the differences in smartphone usage between the first wave and the second wave of the epidemic in Japan. On average, the frequency of use increased, especially during the first wave of the epidemic. Next, we classify the changes in usage behavior and examine the differences between individuals whose smartphone usage time increased and those whose usage time decreased. Our analysis using personal characteristics as explanatory variables suggests that demographic variables may explain behavioral changes. We were able to classify the factors into three categories: positive factors that promote an increase in usage time, negative factors that promote a decrease, and variation factors that promote fluctuations.
AB - We analyze the smartphone usage behavior of individuals against the background of the spread of the coronavirus disease (COVID-19) to classify usage behaviors and examine the factors that lead to change. Specifically, we examine the differences in smartphone usage between the first wave and the second wave of the epidemic in Japan. On average, the frequency of use increased, especially during the first wave of the epidemic. Next, we classify the changes in usage behavior and examine the differences between individuals whose smartphone usage time increased and those whose usage time decreased. Our analysis using personal characteristics as explanatory variables suggests that demographic variables may explain behavioral changes. We were able to classify the factors into three categories: positive factors that promote an increase in usage time, negative factors that promote a decrease, and variation factors that promote fluctuations.
KW - COVID-19
KW - Consumer behavior
KW - Disasters
KW - Mobile apps
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U2 - 10.1016/j.chbr.2022.100168
DO - 10.1016/j.chbr.2022.100168
M3 - Article
AN - SCOPUS:85128651076
SN - 2451-9588
VL - 5
JO - Computers in Human Behavior Reports
JF - Computers in Human Behavior Reports
M1 - 100168
ER -
