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Human Interaction with Mobile Devices on Social Networks by Young and Elderly People: Iraq a Case Study


  • Planning and Follow Up Department,University Headquarter, University of Anbar, Iraq
  • Computer Science Department,College of Computer Science and Information Technology,University of Anbar Anbar, Iraq


Background/Objectives: This research attempts to deal with the human interaction with mobile devices on social networks by young and elderly people in Iraq. The research aims to investigate the most important positive or negative socialconsequences. Methods/Statistical Analysis: The study sample test comprises of (500) people. The examination in view of the strategy for social study by method for test technique and applies questionnaire as an method to gather information. The exploration proposes study as the first of its kind to make a decision to choose the best criteria based on HMI technology, in addition to the use of association rules. It also provides the necessary structure for building the system in knowledge base of young and elderly people in Iraq.To investigate HMI framework, methodologies, and processes, techniques to bring another measurement, the need to oversee learning by concentrating on individuals and upgrade their capacity by enhancing correspondence, data exchange and coordinated effort.To propose applications or programs that make the user, even young or elderly people, more interest or related to learning and applying the instructions mobile devices in social networks. Findings: The main findings of the research arethat the cell phone has positive and negative results.The survey focused ondetermines the main uses (normal use or internet use)and advantages and disadvantages of human cooperation with mobile on social networks by youthful and elderly individuals. The study demonstrated that despite the fact that the greater part of users had a mobile that is utilized for daily affairs , some of regardless them confront challenges of taking care of them. The study demonstrated that albeit most users receive the social networks for over one hour a day, some of despite everything them encounter challenges amid its utilization and request better approaches for cooperating with this apparatus. Application/Improvement: There are two important aspects of this research: the first one is the theoretical study that the follow-up technical developments and their different effects on social surroundings is very important for human society in general while the second one is the applied study that found the problems associated with the use of devices usually associated with use and to identify these problems usually helps minimize raised through preparedness and provide solutions and submit proposals and start preventive programs in the early times before it’s too late.


Human Mobile Interaction, Mobile Devices, Social Networks, Young and Elderly People.

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  • Wilson W, Kathryn K, Fornasier S, Katherine M, White. Psychological predictors of young adults use of social networking sites. Cyberpsychology, Behavior, and Social Networking. 2010; 13(2):173–7.
  • Social Bakers. User age distribution on Facebook in Iraq, [retrieved: Apral, 2015]. [Online], Available from:
  • Lenhart A, Purcell K, Smith A, Zickuhr K. Social Media and Mobile Internet use among Teens and Young Adults. Millennials. Pew Internet and American Life Project. 2010.
  • Subrahmanyam K, Reich SM, Waechter N, Espinoza G. Online and offline social networks: Use of social networking sites by emerging adults. Journal of Applied Developmental Psychology. 2008; 29(6):420–33.
  • Lenhart A, Madden M. Social networking websites and teens: An overview. Pew/Internet, 2007.
  • Leme RR, Amaral AR, Zaina L. Interaction with mobile devices on social networks by elderly people: A survey in Brazil with Facebook. In Computing Conference (CLEI), 2014 XL Latin American, IEEE. 2014. p. 1–7.
  • Wohn DY, Lampe C, Vitak J, Ellison NB. Coordinating the ordinary: social information uses of facebook by adults. Proceedings of the 2011 iConference, ser. iConference ’11. New York, NY, USA: ACM. 2011. p. 340–7. [Online]. Available from:
  • Norval C. Understanding the incentives of older adults’participation on social networking sites. SIGACCESS Access. Comput. 2012 Jan; 102:25–9. [Online]. Available from:
  • Olwal A, Lachanas D, Zacharouli E. Oldgen: Mobile phone personalization for older adults, Vancouver, BC, 2011, pp. 3393–3396, cited By (since 1996) 1; Conference of 29th Annual CHI Conference on Human Factors in Computing Systems, CHI 2011; Conference Date: 7 May 2011 through 12 May 2011; Conference Code: 85042. [Online]. Available from: 79958163326partnerID=40md5=fa561e2f1faa4b3f8865a7d33bdd2647
  • Leme RR, Zaina LAM, Casadei V. Interaction With Mobile Devices by Elderly People: The Brazilian Scenario. ACHI 2014 : The Seventh International Conference on Advances in Computer-Human Interactions.
  • Paelke V, Reimann C, Stichling D. Foot-based mobile interaction with games. In Proceedings of the 2004 ACM SIGCHI International Conference on Advances in Computer Entertainment Technology, ACM. 2004. p. 321–4.
  • Jones M, Marsden G. Mobile interaction design. 2006.
  • Check Facebook, Facebook Global Audience. [Online; accessed 18-Jun-2015], Available from:
  • Parameswaran M, Whinston AB. Research Issues in Social Computing. Journal of the Association for Information Systems. 2007; 8(6):336–50.
  • Majchrzak TA, Jakubiec A, Lablans M, Uckert F. Towards better social integration through mobile web 2.0 ambient assisted living devices. Proceedings of the 2011 ACM Symposium on Applied Computing. 2011; 821–2.
  • Estelle JJ, Kirsch NL, Pollack ME. Enhancing Social Interaction in Elderly Communities. ACM Conference on Human Factors in Computing Systems CHI. 2006.
  • Wee WTB. A mini-study of Singapore elderly acceptance to portable medical home systems. Proceedings of the 2nd International Convention on Rehabilitation Engineering and Assistive Technology. 2008; 271–6.
  • Mahdi OA, Mohammed MA, Mohamed AJ. Implementing a novel approach an convert audio compression to text coding via hybrid technique. International Journal of Computer Science Issues. 2012; 9(6):53–9.
  • Chen D, Yang J, Malkin R, Wactlar HD. Detecting social interactions of the elderly in a nursing home environment. ACM Trans Multimedia Comput Commun Appl. 2007 Feb; 3(1).
  • Hameed AH, Mostafa SA, Mohammed MA. Simulation and evaluation of WIMAX handover over homogeneous and heterogeneous networks. American Journal of Networks and Communications. 2013; 2(3):73–80.
  • Mohammed M, Abed M. Investigating Role of Knowledge Auditing in Profile of the Business Unit-Information Technology and Computer Center (ITCC) University of Anbar. 2015; 4(3):10–8.
  • Kamyab K, Delafrooz N. Investigating the Effect of Personality Traits, Subjective Norms and Perceptions of Customers on using Internet Banking. Indian Journal of Science and Technology. 2016 Jan; 9(1):1–8.
  • Saini BS, Kaur N, Bhatia KS. Keystroke Dynamics for Mobile Phones: A Survey. Indian Journal of Science and Technology. 2016 Feb; 9(6). Doi:10.17485/ijst/2016/v9i6/82084.
  • Mohammed MA, Aljumaili ATY, Salah HA. Investigation the Role of Cloud Computing in the Business Value for Optimal Criteria. International Journal of Enhanced Research in Science Technology and Engineering. 2014 Jun; 3(6):111–8. ISSN: 2319-7463.
  • Kalpana V, Meena V. Study on Data Storage Correctness Methods in Mobile Cloud Computing. Indian Journal of Science and Technology. 2015 Mar; 8(6). Doi:10.17485/ijst/2015/v8i6/70094.
  • SayfAddin Mahmood N, Mohammed MA, Farhan RN. Design and Implementation an Private Cloud Cluster for G-Cloud in IRAQ. International Journal of Enhanced Research in Science Technology and Engineering. 2014 May; 3(5):448–56. ISSN: 2319-7463.
  • Bhojan RJ, Vivekanandan K, Ganesan S, Monickaraj PM. Service based Mobile Test Automation Framework for Automotive HMI. Indian Journal of Science and Technology. 2015 Jul; 8(15). Doi:10.17485/ijst/2015/v8i15/53253.


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