16,011 research outputs found

    Regrets, I\u27ve Had a Few: When Regretful Experiences Do (and Don\u27t) Compel Users to Leave Facebook

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    Previous work has explored regretful experiences on social media. In parallel, scholars have examined how people do not use social media. This paper aims to synthesize these two research areas and asks: Do regretful experiences on social media influence people to (consider) not using social media? How might this influence differ for different sorts of regretful experiences? We adopted a mixed methods approach, combining topic modeling, logistic regressions, and contingency analysis to analyze data from a web survey with a demographically representative sample of US internet users (n=515) focusing on their Facebook use. We found that experiences that arise because of users\u27 own actions influence actual deactivation of their Facebook account, while experiences that arise because of others\u27 actions lead to considerations of non-use. We discuss the implications of these findings for two theoretical areas of interest in HCI: individual agency in social media use and the networked dimensions of privacy

    An Architecture to Support the Design and Evaluation of Software Platforms for Partially Virtual Communities

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    Several researchers have identified the design of collaborative systems as a particularly challenging task, because it has to consider services that are not easily identifiable by software designers. The systems that support the activities of partially virtual communities (PVC) are not an exception. Typically, designers of PVC supporting systems are able to identify services that have a visual representation on the user interface, but they usually overlook those that run in the system back-end. In an attempt to help designers to consider these two types of services, this article proposes a software architecture that can be used for both, designing new PVC supporting systems and evaluating existing ones. The architecture was used in three case studies as a design guideline during the development of PVC supporting platforms, and also as an instrument to evaluate three commercial systems. Although the obtained results are still preliminary, they indicate that the architecture is able to accomplish both roles

    Personalization by Partial Evaluation.

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    The central contribution of this paper is to model personalization by the programmatic notion of partial evaluation.Partial evaluation is a technique used to automatically specialize programs, given incomplete information about their input.The methodology presented here models a collection of information resources as a program (which abstracts the underlying schema of organization and ïŹ‚ow of information),partially evaluates the program with respect to user input,and recreates a personalized site from the specialized program.This enables a customizable methodology called PIPE that supports the automatic specialization of resources,without enumerating the interaction sequences beforehand .Issues relating to the scalability of PIPE,information integration,sessioniz-ling scenarios,and case studies are presented

    Instructional Designers Conducting Professional Learning Using Social Media: A Phenomenological Study of Their Experiences Through a Self-regulated Learning Lens

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    Because the instructional design and technology field is dynamic (Sharif & Cho, 2015; Wang et al., 2021), instructional designers need to pursue continuous, just-in-time professional learning (Carliner, 2018) to improve knowledge, skills, and abilities (Sharif & Cho, 2015; Ritzhaupt & Martin, 2015), without being constrained by location, budget, and time (Muljana et al., 2020; Muljana et al., 2021). On the one hand, the omnipresent social media technologies offer affordances for facilitating this type of professional learning. Such technologies allow instructional designers to reach out to colleagues, search for ready-to-implement strategies, and find relevant, timely information. On the other hand, conducting continuous learning requires proactive and strategic planning, in which self-regulated learning (SRL) plays a role. Unfortunately, not all working professionals are aware of the strategies to develop SRL skills. In addition, using social media may be perceived as a learning distraction. A call for an in-depth exploration of intersecting instructional designers’ continuous professional learning, social media, and SRL emerges to address such challenges. This qualitative study is aimed to explore instructional designers’ SRL experiences conducting professional learning using social media. Three research questions guide this study: (1) How were instructional designers’ SRL experiences conducting professional learning in a social media environment? (2) How did instructional designers support their SRL by using social media? (3) What challenges did instructional designers experience when conducting professional learning using social media? These questions are addressed through a phenomenological study that employs semi-structured interviews and thematic analysis using multiple coding approaches. The findings suggest that an application of SRL seems to occur while instructional designers use social media for professional learning (e.g., through determining the sources of motivation, setting proximal goals and strategic plans, seeking help, trying the strategies offered by colleagues, an adaptation of strategies, and open-minded attitudes during self-reflection activities). Additionally, there appears to be a gradual development of SRL skills while instructional designers interact in social media environments. They also encounter challenges, but some challenges can potentially be overcome by applying SRL strategies. Discussion and implications inform (a) instructional designers who pursue continuous professional development, (b) educational programs and instructors who educate prospective instructional designers regarding ways to promote relevant skills by scaffolding SRL skills and considering social media-supported learning, and (c) employers and those with supervisory roles who support employee’s just-in-time learning

    An Architecture to Support the Design and Evaluation of Software Platforms for Partially Virtual Communities

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    Several researchers have identified the design of collaborative systems as a particularly challenging task, because it has to consider services that are not easily identifiable by software designers. The systems that support the activities of partially virtual communities (PVC) are not an exception. Typically, designers of PVC supporting systems are able to identify services that have a visual representation on the user interface, but they usually overlook those that run in the system back-end. In an attempt to help designers to consider these two types of services, this article proposes a software architecture that can be used for both, designing new PVC supporting systems and evaluating existing ones. The architecture was used in three case studies as a design guideline during the development of PVC supporting platforms, and also as an instrument to evaluate three commercial systems. Although the obtained results are still preliminary, they indicate that the architecture is able to accomplish both roles

    Trust on the Web: Some Web Science Research Challenges

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    Web Science is the interdisciplinary study of the World Wide Web as a first-order object in order to understand its relationship with the wider societies in which it is embedded, and in order to facilitate its future engineering as a beneficial object. In this paper, research issues and challenges relating to the vital topic of trust are reviewed, showing how the Web Science agenda requires trust to be addressed, and how addressing the challenges requires a range of disciplinary skills applied in an integrated manner

    Exploring personality-targeted UI design in online social participation systems

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    We present a theoretical foundation and empirical findings demonstrating the effectiveness of personality-targeted design. Much like a medical treatment applied to a person based on his specific genetic profile, we argue that theory-driven, personality-targeted UI design can be more effective than design applied to the entire population. The empirical exploration focused on two settings, two populations and two personality traits: Study 1 shows that users' extroversion level moderates the relationship between the UI cue of audience size and users' contribution. Study 2 demonstrates that the effectiveness of social anchors in encouraging online contributions depends on users' level of emotional stability. Taken together, the findings demonstrate the potential and robustness of the interactionist approach to UI design. The findings contribute to the HCI community, and in particular to designers of social systems, by providing guidelines to targeted design that can increase online participation. Copyright © 2013 ACM

    Privacy Threat Model for Data Portability in Social Network Applications

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    The advent of the participatory Web and social network applications has changed our communication behavior and the way we express ourselves on the Web. Social network application providers benefit from the increasing amount of personally identifiable information willingly displayed on their sites but, at the same time, risks of data misuse threaten the information privacy of individual users as well as the providers’ business model. From recent research, this paper reports the major requirements for developing privacy-preserving social network applications and proposes a privacy threat model that can be used to enhance the information privacy in data or social network portability initiatives by determining the issues at stake related to the processing of personally identifiable information
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