Abstract: This chapter introduces a comprehensive review in personalization techniques and presents key features of personalized e-services. A framework is also introduced for integrating different personalization techniques into a single unified approach along ...
Abstract: This study explores the links between motives for using a social network service and numerical measures of that activity. Specifically, it identified motives for Facebook use by employing a Uses and Gratifications (U&G) approach and then investigated the extent to which these motives can be predicted through usage and network metrics collected automatically via the Facebook API. In total, 11 Facebook usage metrics and eight personal network metrics served as predictors. Results showed that all three variable types in this expanded U&G frame of analysis (covering social antecedents, usage metrics, and personal network metrics) effectively predicted motives and highlighted interesting behaviors. To further illustrate the power of this framework, the intricate nature of privacy in social media was explored and relationships drawn between privacy attitudes (and acts) and measures of use and network structure.
Abstract: This paper explores uses and gratifications of a content community on a social network service â a music video sharing group on Facebook. In a two-stage study, 20 users first generated words or phrases to describe how they used the group, and what they enjoyed about their use. These phrases were coded into 34 questionnaire items that were then completed by 57 new participants. Factor analysis on this data revealed four gratifications: contribution; discovery; social interaction and entertainment. These factors are interpreted and discussed, leading to design implications and guidelines aimed at informing the design of future online services that combine media sharing with social interaction to create online systems based on a rich and meaningful object-centered sociality.
Abstract: This position paper makes the case for the use of social network analysis for user modeling in social media. It argues that a network perspective, in combination with more traditional approaches for user modeling, can allow the creation of more effective user models. Towards this end, we outline two ongoing studies that utilize social network analysis techniques for improving understanding of user behavior in social media, with the goal of instigating discussion in the workshop.
Abstract: We present a methodological framework aiming at the support of HCI practitioners and researchers in selecting and applying the most appropriate combination of HCI methods for particular problems. We highlight the need for a clear and effective overview of methods and provide further discussion on possible extensions that can support recent trends and needs, such as the focus on specific application domains.
Abstract: This paper presents a multi-pronged study of usersâ location-sharing practices in the context of online social networks. The contribution of this study is two-fold: first it presents a series of insights relating to location-sharing practices, and second it highlights the use of third- person scenarios as a useful method for eliciting privacy concerns and potentially educating users.
Abstract: This paper attempts to explore the issues related to the usability evaluation of spatial-aware mobile systems used for technologically mediating interpersonal and group communication. In this direction, it investigates the applicability of existing usability evaluation methods and principles on spatial-aware mobile systems and presents the results of a multi-method usability evaluation of such a system. The evaluation methodology comprises questionnaires, a word list, focus groups and actual logging of use, in order to evaluate the user experience during field tests with the system.
