Acceso abierto

A Computational Model and Empirical Study of Older Adults’ Interaction Behavior with a Mediatized Society

,  y   
24 mar 2025

Cite
Descargar portada

Figure 1.

User behavior location retrieval model
User behavior location retrieval model

Figure 2.

Power law distribution of APP usage frequency and usage duration
Power law distribution of APP usage frequency and usage duration

Figure 3.

Use (length and frequency) in the top 10 app
Use (length and frequency) in the top 10 app

Figure 4.

Social networking APPs use time in different locations
Social networking APPs use time in different locations

Figure 5.

Mobile APP usage mode based on geographic location
Mobile APP usage mode based on geographic location

Figure 6.

The average daily use of mobile media hours
The average daily use of mobile media hours

Figure 7.

Sample mobile media contact purpose
Sample mobile media contact purpose

The use of old men and the degree of dependence

/ Mobile dependence (percentage or mean)
Mobile use Options Independence Mild dependence Moderate dependence Heavy dependence
Service life 0.5~2 year 0.1752 0.081 0.1499 0
2~4 year 0.4196 0.3245 0.1125 0
4~6 year 0.2955 0.2856 0.3365 1
6~8 year 0.062 0.1826 0.2954 0
8~10 year 0.023 0.056 0 0
Over 10 years 0.0247 0.0703 0.1057 0
Service length 0~2 hour 0.4625 0.1966 0.0745 0
2~4 hour 0.3715 0.4936 0.4263 0
4~6 hour 0.1125 0.1726 0.3362 1
6~8 hour 0.0452 0.0469 0.1025 0
8~10 hour 0.0083 0.0396 0.0395 0
Over 10 hours 0 0.0507 0.021 0
Service function Call or text 3.348 3.621 3.825 4
Use wechat and other chat software 3.523 3.826 4.315 5
Use short time frequency and other entertainment software 2.729 3.254 3.915 3
Read news and know information 2.815 3.235 3.825 3
Online shopping and online payment 2.169 2.595 2.815 4
Collect information that interests you 2.415 2.934 3.298 2
Usage evaluation Proficiency level 2.863 3.351 3.625 3
Satisfaction 3.463 3.521 4.036 3