Sorting things out: classification and its consequences
Sorting things out: classification and its consequences
Supporting non-professional users in the new media landscape
CHI '07 Extended Abstracts on Human Factors in Computing Systems
Design for creating, uploading and sharing user generated content
CHI '08 Extended Abstracts on Human Factors in Computing Systems
User loyalty and online communities: why members of online communities are not faithful
Proceedings of the 2nd international conference on INtelligent TEchnologies for interactive enterTAINment
Users interact differently: towards a usability-oriented user taxonomy
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction design and usability
Understanding the new digital divide-A typology of Internet users in Europe
International Journal of Human-Computer Studies
A typology of social networking sites users
International Journal of Web Based Communities
Understanding digital library adoption: a use diffusion approach
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Social Networking Sites: Their Users and Social Implications — A Longitudinal Study
Journal of Computer-Mediated Communication
Proceedings of the 30th ACM international conference on Design of communication
International Journal of Mobile Communications
Love it or hate it!: interactivity and user types
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Modelling user behaviour and experience: the R2D2 networks approach
DUXU'13 Proceedings of the Second international conference on Design, User Experience, and Usability: design philosophy, methods, and tools - Volume Part I
Hi-index | 0.00 |
Considering the increasingly complex media landscape and diversity of use, it is important to establish a common ground for identifying and describing the variety of ways in which people use new media technologies. Characterising the nature of media-user behaviour and distinctive user types is challenging and the literature offers little guidance in this regard. Hence, the present research aims to classify diverse user behaviours into meaningful categories of user types, according to the frequency of use, variety of use and content preferences. To reach a common framework, a review of the relevant research was conducted. An overview and meta-analysis of the literature (22 studies) regarding user typology was established and analysed with reference to (1) method, (2) theory, (3) media platform, (4) context and year, and (5) user types. Based on this examination, a unified Media-User Typology (MUT) is suggested. This initial MUT goes beyond the current research literature, by unifying all the existing and various user type models. A common MUT model can help the Human-Computer Interaction community to better understand both the typical users and the diversification of media-usage patterns more qualitatively. Developers of media systems can match the users' preferences more precisely based on an MUT, in addition to identifying the target groups in the developing process. Finally, an MUT will allow a more nuanced approach when investigating the association between media usage and social implications such as the digital divide.