Cited By
View all- Bothe MMeinel C(2020)On the Potential of Automated Downloads for MOOC Content on Mobile Devices2020 IEEE Learning With MOOCS (LWMOOCS)10.1109/LWMOOCS50143.2020.9234338(58-63)Online publication date: 29-Sep-2020
Online?: a study of smartphone Internet availability
Pages 347 - 349
Abstract
An important facet of smartphone's usage is internet. Everything works flawlessly, as long as you have a good internet connection. A smartphone's functionality is immediately limited by the absence of internet: applications are not up-to-date; instant chat messages are not delivered when intended, or one is unable to get directions. Besides internet performance tuning, research has been scarce in leveraging users' internet access routines to improve smartphone's usage. By understanding smartphone internet availability, one may utilise this information to minimise data costs and improve users' experience while using internet-enabled applications. Our paper provides insight into when is it likely that an individual user is online, based on personal connectivity routines.
References
[1]
Joël Billieux, Pierre Philippot, Cécile Schmid, Pierre Maurage, Jan De Mol and Martial Van der Linden. 2014. Is Dysfunctional Use of the Mobile Phone a Behavioural Addiction? Confronting Symptom-Based Versus Process-Based Approaches. Clinical Psychology & Psychotherapy 22, 5: 460--468. http://dx.doi.org/10.1002/cpp.1910
[2]
Julie Broadbent and Michelle A. Dakki. 2015. How Much Is Too Much to Pay for Internet Access? A Behavioral Economic Analysis of Internet Use. Cyberpsychology, Behavior, and Social Networking 18, 8: 457--461. http://dx.doi.org/10.1089/cyber.2014.0367
[3]
ConnectivityManager | Android Developers. Retrieved 30/03/2016 from http://developer.android.com/reference/android/net/ConnectivityManager.html
[4]
Denzil Ferreira, Vassilis Kostakos, Alastair R. Beresford, Janne Lindqvist and Anind K. Dey. 2015. Securacy: An Empirical Investigation of Android Applications' Network Usage, Privacy and Security. In Conference on Security and Privacy in Wireless and Mobile Networks, ACM, 11:1--11:11. http://dx.doi.org/10.1145/2766498.2766506
[5]
Denzil Ferreira, Vassilis Kostakos and Anind K. Dey. 2015. AWARE: mobile context instrumentation framework. Frontiers in ICT 2, 6: 1--9. http://dx.doi.org/10.3389/fict.2015.00006
[6]
Huber Flores, Pan Hui, Sasu Tarkoma, Yong Li, Satish Srirama and Rajkumar Buyya. 2015. Mobile code offloading: from concept to practice and beyond. Communications Magazine, IEEE 53, 3: 80--88. http://dx.doi.org/10.1109/MCOM.2015.7060486
[7]
B Han, P Hui, V. S. A. Kumar, M. V. Marathe, J Shao and A Srinivasan. 2012. Mobile Data Offloading through Opportunistic Communications and Social Participation. IEEE Transactions on Mobile Computing 11, 5: 821--834. http://dx.doi.org/10.1109/TMC.2011.101
[8]
Kyunghan Lee, Joohyun Lee, Yung Yi, Injong Rhee and Song Chong. 2010. Mobile Data Offloading: How Much Can WiFi Deliver? In Proceedings of the 6th International COnference, ACM, 26:1--26:12. http://dx.doi.org/10.1145/1921168.1921203
[9]
Amanda Lenhart, Kristen Purcell, Aaron Smith and Kathryn Zickuhr. 2010. Social Media & Mobile Internet Use among Teens and Young Adults. Millennials. Pew Internet & American Life Project.
[10]
Antti Oulasvirta, Tye Rattenbury, Lingyi Ma and Eeva Raita. 2012. Habits make smartphone use more pervasive. Personal and Ubiquitous Computing 16, 1: 105--114. http://dx.doi.org/10.1007/s00779-011-0412-2
[11]
Smartphone Penetration by Country and Age Group (2011--2013). Retrieved 02/11/2015 from http://bit.ly/1GI0Ud6
[12]
Smartphone penetration Europe 2013. Retrieved 28/09/2015 from http://think.withgoogle.com/mobileplanet/en/graph/?country=at&country=be&country=dk&country=fi&country=fr&country=de&country=gr&country=nl&country=no&country=pt&country=es&country=se&country=uk&category=DETAILS&topic=Q00&stat=Q00_1&wave=2013&age=a4&age=a5&gender=all&chart_type=&active=age
[13]
Karel Van den Broucke, Denzil Ferreira, Jorge Goncalves, Vassilis Kostakos and Katrien De Moor. 2014. Mobile Cloud Storage: A Contextual Experience. In International Conference on Human-Computer Interaction with Mobile Devices and Services, ACM, 101--110. http://dx.doi.org/10.1145/2628363.2628386
[14]
Daniel T. Wagner, Andrew Rice and Alastair R. Beresford. 2013. Device Analyzer: Understanding Smartphone Usage. Springer International Publishing.
Index Terms
- Online?: a study of smartphone Internet availability
Recommendations
Enhanced student technology support with cross-platform mobile apps
SIGUCCS '11: Proceedings of the 39th annual ACM SIGUCCS conference on User servicesWith smartphones and other web-enabled mobile devices growing quickly in popularity, higher education institutions have the opportunity -- and challenge -- to leverage this young medium to provide dynamic content regarding services, events, and support ...
Towards a context-aware mobile app management framework
CASCON '15: Proceedings of the 25th Annual International Conference on Computer Science and Software EngineeringIn an app-driven society, the number of apps installed on smartphones will inevitably increase over time. As a result, navigating to locate apps, requires scrolling back and forth between various pages. Also, finding apps in the app store is complex due ...
Demo: software defined radio: on a smartphone, as an app!
MobiCom '14: Proceedings of the 20th annual international conference on Mobile computing and networkingIn this demo, we showcase the first software defined radio (SDR) implementation that runs on today's smartphones. Using the SDR, the smartphones are shown to talk to real IEEE 802.15.4 devices such as sensor motes or Phillips Hue (TM) lightbulbs that ...
Comments
Information & Contributors
Information
Published In
Copyright © 2016 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 12 December 2016
Check for updates
Author Tags
Qualifiers
- Poster
Funding Sources
Conference
MUM '16
MUM '16: 15th International Conference on Mobile and Ubiquitous Multimedia
December 12 - 15, 2016
Rovaniemi, Finland
Acceptance Rates
MUM '16 Paper Acceptance Rate 35 of 77 submissions, 45%;
Overall Acceptance Rate 190 of 465 submissions, 41%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 73Total Downloads
- Downloads (Last 12 months)1
- Downloads (Last 6 weeks)1
Reflects downloads up to 09 Jan 2025
Other Metrics
Citations
Cited By
View all- Bothe MMeinel C(2020)On the Potential of Automated Downloads for MOOC Content on Mobile Devices2020 IEEE Learning With MOOCS (LWMOOCS)10.1109/LWMOOCS50143.2020.9234338(58-63)Online publication date: 29-Sep-2020
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in