casa 18: e1

Research Article

Understanding the Role of Data-Centric Social Context in Personalized Mobile Applications

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  • @ARTICLE{10.4108/eai.18-6-2018.155671,
        author={Iqbal H. Sarker},
        title={Understanding the Role of Data-Centric Social Context in Personalized Mobile Applications},
        journal={EAI Endorsed Transactions on Context-aware Systems and Applications: Online First},
        volume={},
        number={},
        publisher={EAI},
        journal_a={CASA},
        year={2018},
        month={10},
        keywords={Mobile phones, phone log data, user activity, personalization, contexts, social context, interpersonal relationship, mobile applications, call interruptions, call reminders, context-aware systems},
        doi={10.4108/eai.18-6-2018.155671}
    }
    
  • Iqbal H. Sarker
    Year: 2018
    Understanding the Role of Data-Centric Social Context in Personalized Mobile Applications
    CASA
    EAI
    DOI: 10.4108/eai.18-6-2018.155671
Iqbal H. Sarker1,*
  • 1: Department of Computer Science and Software Engineering, Swinburne University of Technology, Melbourne, VIC-3122, Australia.
*Contact email: msarker@swin.edu.au

Abstract

Context-awareness in personalized mobile applications is a growing area of study. Social context is one of the most important sources of information in human-activity based applications. In this paper, we mainly focus on social relational context that represents the interpersonal relationship between individuals, and the role or influence of such context on users’ diverse phone call activities in their real world life. Individuals different phone call activities such as making a phone call to a particular person or responding an incoming call may differ from person-to-person based on their interpersonal relationships such as family, friend, or colleague. However, it is very difficult to make the device understandable about such semantic relationships between individuals and the relevant context-aware applications. To address this issue, in this paper, we explore the data-centric social relational context that can play a significant role in building context-aware personalized mobile applications for various purposes in our real world life.