Digital Addiction Ontology for Social Networking Systems

This source preferred by Huseyin Dogan

Authors: Alrobai, A. and Dogan, H.

Editors: Aiello, L. and McFarland, D.

http://link.springer.com/chapter/10.1007/978-3-319-15168-7_21

Volume: 8852

Pages: 167-175

Publisher: Lecture Notes in Computer Science

ISBN: 9783319151670

DOI: 10.1007/978-3-319-15168-7_21

This data was imported from Scopus:

Authors: Alrobai, A. and Dogan, H.

Volume: 8852

Pages: 167-175

ISBN: 9783319151670

DOI: 10.1007/978-3-319-15168-7_21

© Springer International Publishing Switzerland 2015. Digital Addiction (hereafter referred to as DA) is an emerging, perhaps controversial, issue that is expected to profoundly impact modern societies. Different types of addiction, such as drugs, gambling and alcohol, have clear standards, regulations and policies on how to manufacture, market and sell them. In great contrast, DA has received little recognition or guidance in Human-Computer Interaction (HCI) and social media research communities. These communities are required to support software industry to provide ways to develop products that are more aware of DA. This research focuses on conceptualising DA to advance the understanding of how the design of social networking systems might influence human behaviour in a way that facilitates addiction. This paper presents an initial ontology and logical models for DA, and discusses potential HCI related implications.

This source preferred by Amen Alrobai

This data was imported from Web of Science (Lite):

Authors: Alrobai, A. and Dogan, H.

Volume: 8852

Pages: 167-175

ISBN: 978-3-319-15167-0

DOI: 10.1007/978-3-319-15168-7_21

The data on this page was last updated at 04:46 on November 24, 2017.