Remember Me
Or use your Academic/Social account:


Or use your Academic/Social account:


You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.


Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message


Verify Password:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Alrobai, Amen; McAlaney, John; Phalp, Keith T.; Ali, Raian (2016)
Languages: English
Types: Article
Digital Addiction refers to a problematic usage of digital devices characterised by being excessive, compulsive, impulsive and hasty. It is often associated with negative life experience such as anxiety and depression. To combat Digital Addiction, interactive e-health intervention applications started to appear to aid users adjust their usage style. The present study aims to understand the risks related to such e-health interventions. The authors conducted an empirical research to investigate such risks from users’ perspectives through a diary study. Fourteen participants were recruited and asked to install popular “digital diet” applications and use them for two weeks and record their significant moments. The authors then interviewed the participants to discuss their experience. Self-governed interactive e-health intervention for digital addiction could lead to adverse side effects such as lower self-esteem, misconception of the healthy usage and creating an alternative addictive experience. Thus, there is a need for theory-based development and rigorous testing for such e-health solutions
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Ali, R., Jiang, N., Phalp, K., Muir, S., & McAlaney, J. (2015). The emerging requirement for digital addiction labels. In International Working Conference on Requirements Engineering: Foundation for Software Quality (pp. 198-213). Springer International Publishing.
    • Alrobai, A., McAlaney, J., Dogan, H., Phalp, K., & Ali, R. (2016a). Exploring the Requirements and Design of Persuasive Intervention Technology to Combat Digital Addiction. Presented at theth International Working Conference on Human-Centred Software Engineering HCSE, Stockholm. doi:10.1007/978-3-319-44902-9_9 Alrobai, A., McAlaney, J., Phalp, K., & Ali, R. (2016b). Online Peer Groups as a Persuasive Tool to Combat Digital Addiction. In Persuasive Technology, LNCS (Vol. 9638, pp. 288-300). New York: Springer-Verlag. doi: 10.1007/978-3-319-31510-2_25 American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (DSM-5®).
    • Asch, S. E. (1951). Effects of group pressure upon the modification and distortion of judgments. In Groups, Leadership, and Men Research in Human Relations (pp. 177-190). Oxford: Carnegie Press.
    • Bassuk, E. L., Hanson, J., Greene, R. N., Richard, M., & Laudet, A. (2016). Peer-Delivered Recovery Support Services for Addictions in the United States: A Systematic Review. Journal of Substance Abuse Treatment, 63, 1-9. doi:10.1016/j.jsat.2016.01.003 PMID:26882891 Bioulac, S., Arfi, L., & Bouvard, M. P. (2008). Attention deficit/hyperactivity disorder and video games: A comparative study of hyperactive and control children. European Psychiatry, 23(2), 134-141. doi:10.1016/j.
    • eurpsy.2007.11.002 PMID:18206354 Bovend'Eerdt, T. J., Botell, R. E., & Wade, D. T. (2009). Writing SMART rehabilitation goals and achieving goal attainment scaling: A practical guide. Clinical Rehabilitation, 23(4), 352-361. doi:10.1177/0269215508101741 PMID:19237435 Callan, R. C., Bauer, K. N., & Landers, R. N. (2015). How to Avoid the Dark Side of Gamification: Ten Business Scenarios and Their Unintended Consequences. In T. Reiners & L. C. Wood (Eds.), Gamification in Education and Business (pp. 553-568). Cham: Springer International Publishing. doi:10.1007/978-3-319-10208-5_28 Center for Universal Design. (1997). The Principles of Universal Design. Center for Universal Design. Retrieved from https://www.ncsu.edu/ncsu/design/cud/pubs_p/docs/poster.pdf Cialdini, R. B. (2009). Influence: Science and practice (Vol. 4). Boston: HarperCollins.
    • Doran, G. T. (1981). There's a SMART way to write management's goals and objectives (Vol. 70, pp. 35-36).
    • Ewing, J. A. (1984). Detecting alcoholism: The CAGE questionnaire. Journal of the American Medical Association, 252(14), 1905-1907. doi:10.1001/jama.1984.03350140051025 PMID:6471323 Fogg, B. J. (2008). Mass Interpersonal Persuasion - An Early View of a New Phenomenon. (Vol. 5033, pp.
    • 23-34). Presented at the 4th international Conference on Persuasive Technology. Heidelberg: Springer.
    • Fogg, B. J. (2009a). A behavior model for persuasive design. PERSUASIVE, 40. New York, New York, USA: ACM Press.
    • Fogg, B. J. (2009b). Creating persuasive technologies: an eight-step design process. PERSUASIVE, 44. New York, New York, USA: ACM Press. doi:10.1145/1541948.1542005 Franklin, M., & Zdonik, S. (1998). Data in your face: push technology in perspective. Presented at the SIGMOD '98: Proceedings of the 1998 ACM SIGMOD international conference on Management of data (Vol. 27, pp.
    • 516-519). ACM. doi:10.1145/276304.276360 Frick, W. B. (1999). Flight into health: A new interpretation. Journal of Humanistic Psychology, 39(4), 58-81.
    • doi:10.1177/0022167899394004 Gollwitzer, P. M., & Sheeran, P. (2006). Advances in experimental social psychology: Vol. 38. Implementation intentions and goal achievement: A meta‐analysis of effects and processes (pp. 69-119). Elsevier.
    • Ko, C.-H., Yen, J.-Y., Chen, C.-S., Yeh, Y.-C., & Yen, C.-F. (2009). Predictive values of psychiatric symptoms for internet addiction in adolescents: A 2-year prospective study. Archives of Pediatrics & Adolescent Medicine, 163(10), 937-943. doi:10.1001/archpediatrics.2009.159 PMID:19805713 Ko, M., Choi, S., Yang, S., Lee, J., & Lee, U. (2015a). FamiLync: facilitating participatory parental mediation of adolescents' smartphone use. Presented at the2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 867-878). doi:10.1145/2750858.2804283 Ko, M., Yang, S., Lee, J., Heizmann, C., Jeong, J., Lee, U., . . .. (2015b). NUGU: A Group-based Intervention App for Improving Self-Regulation of Limiting Smartphone Use. Presented at the ACM conference on computer supported cooperative work social computing (pp. 1235-1245). ACM Request Permissions.
    • Lee, H., Ahn, H., Choi, S., & Choi, W. (2014). The SAMS: Smartphone Addiction Management System and Verification. Journal of Medical Systems, 38(1), 1-10. doi:10.1007/s10916-013-0001-1 PMID:24395031 Leigh, S., & Flatt, S. (2015). App-based psychological interventions: Friend or foe? Evidence-Based Mental Health, 18(4), 97-99. doi:10.1136/eb-2015-102203 PMID:26459466 Locke, E. A., & Latham, G. P. (2006). New Directions in Goal-Setting Theory. Current Directions in Psychological Science, 15(5), 265-268. doi:10.1111/j.1467-8721.2006.00449.x Montag, C., & Reuter, M. (2015). Internet Addiction: Neuroscientific Approaches and Therapeutical Interventions.
    • Springer. doi:10.1007/978-3-319-07242-5 Mumford, E. (2000). A Socio-Technical Approach to Systems Design.[Springer-Verlag London Limited.].
    • Requirements Engineering, 5(2), 125-133. doi:10.1007/PL00010345 NHS. (2014). Attention deficit hyperactivity disorder (ADHD). NHS Department of Health. Retrieved from http://www.nhs.uk/conditions/attention-deficit-hyperactivity-disorder/Pages/Introduction.aspx NHS. (2015). Health Apps Library - NHS Choices. Retrieved from http://www.nhs.uk/pages/healthappslibrary.
    • aspx Oinas-Kukkonen, H., & Harjumaa, M. (2009). Persuasive systems design: Key issues, process model, and system features. Communications of the Association for Information Systems, 24.
    • Prochaska, D. J. O. (2013). Transtheoretical Model of Behavior Change. In M. D. Gellman & J. R. Turner (Eds.), Encyclopedia of Behavioral Medicine (pp. 1997-2000). New York, NY: Springer New York.
    • Sandaunet, A. G. (2008). The challenge of fitting in: Non-participation and withdrawal from an online selfhelp group for breast cancer patients. Sociology of Health & Illness, 30(1), 131-144. doi:10.1111/j.1467- 9566.2007.01041.x PMID:18254837 Sarrami-Foroushani, P., Travaglia, J., Debono, D., & Braithwaite, J. (2014). Key concepts in consumer and community engagement: A scoping meta-review. BMC Health Services Research, 14(1), 250. doi:10.1186/1472- 6963-14-250 PMID:24923771 Seijts, G. H., & Latham, G. P. (2005). Learning versus performance goals: When should each be used? The Academy of Management Executive, 19(1), 124-131.
    • Simms, A., & Nichols, T. (2014). Social loafing: A review of the literature. Journal of Management Policy and Practice, 15(1), 58.
    • Stahl, L., & Spatz, M. (2003). Quality Assurance in eHealth for Consumers. Journal of Consumer Health on the Internet, 7(1), 33-42. doi:10.1300/J381v07n01_03 Suler, J. (2005). The online disinhibition effect. International Journal of Applied Psychoanalytic Studies, 2(2), 184-188. doi:10.1002/aps.42 Sutton, S. (2001). Back to the drawing board? A review of applications of the transtheoretical model to substance use. Addiction (Abingdon, England), 96(1), 175-186. doi:10.1046/j.1360-0443.2001.96117513.x PMID:11177528 Taylor, S. E., & Lobel, M. (1989). Social comparison activity under threat: Downward evaluation and upward contacts. Psychological Review, 96(4), 569-575. doi:10.1037/0033-295X.96.4.569 PMID:2678204
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article