scholarly journals Exploring the Users’ Preference Pattern of Application Services Between Different Mobile Phone Brands

2018 ◽  
Vol 5 (4) ◽  
pp. 1163-1173 ◽  
Author(s):  
Hao Jiang ◽  
Zhiyi Hu ◽  
Xianlong Zhao ◽  
Lintao Yang ◽  
Zhian Yang
2017 ◽  
Vol 8 (2) ◽  
pp. 281-287
Author(s):  
Emmanuel Ufuophu-Biri ◽  
Lucky Ogheneruemu Ojoboh

Abstract Mobile phones have become very popular among people in different countries of the world and apart from the traditional role of making and receiving of calls; they have been adopted for several other uses. Its use for those activities tends to pose challenge to the conventional media tools that are used traditionally to perform those activities. The study thus aims at determining the pattern of mobile phone usage by students of Delta State University, Abraka; their preference pattern for mobile telephone and conventional media tools in carrying out certain activities; and the implication of their use of mobile telephone on conventional media toolsThe study adopted the Technology Acceptance Model (TAM), which explains how a person comes to accept and use an information technology. Survey and questionnaire were used as the research method and instrument respectively. The data were analyzed with descriptive statistics. The study found that the students preferred using mobile phones to perform tasks that were originally performed with conventional media tools; and the use of mobile phone by the students also suggested a diminishing patronage of conventional media tools. The study recommends that providers of those conventional media tools should improve on their services to avoid losing patronage, and they should make their products and services adaptable to mobile phone users in order to boost patronage.


2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.


Author(s):  
Naomi F. Glasscock ◽  
Michael S. Wogalter
Keyword(s):  

2018 ◽  
Author(s):  
Valentina Boursier ◽  
Valentina Manna

2008 ◽  
Author(s):  
Joël Billieux ◽  
Martial Van Der Linden ◽  
Lucien Rochat

Nature ◽  
2006 ◽  
Author(s):  
Duncan Graham Rowe
Keyword(s):  

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