This paper introduces the concept of “news informatics” to refer to journalistic presentation of big data in online sites. For users to be engaged with such data-driven public information, it is important to incorporate interactive tools so that each person can extract personally relevant information. Drawing upon a communication model of interactivity, we designed a data-rich site with three different types of interactive features—namely, modality interactivity, message interactivity, and source interactivity—and empirically tested their relative and combined effects on user engagement and user experience with a 2 (modality) × 3 (source) × 2 (message) field experiment (N =166). Findings shed light on how interface designers, online news editors and journalists can maximize user engagement with data-rich news content. Certain interactivity combinations are found to be better than others, with a structural equation model (SEM) revealing the underlying theoretical mechanisms and providing implications for the design of news informatics.

Although information sharing on social networking sites (SNSs) usually involves multiple stakeholders, limited attention has been paid so far to conceptualizing users' information practices as a collaborative process. To fill this gap in the literature, we develop a survey study to examine collaborative privacy management strategies involving co-owners of shared content. By conducting two online surveys (N = 304, 427) with different samples, our findings show how individuals protect online privacy collaboratively and how their autonomous decision making regarding privacy management is shaped by the interdependent use of SNSs with their social connections. We discuss theoretical implications to privacy research and suggest design guidelines for better supporting users' needs for collaborating with their social ties to achieve collective privacy goals.

We cannot fully protect adolescents from experiencing online risks; however, we can aim to better understand how online risk experiences impact teens, factors that contribute to or prevent teens from exposure to risk, as well as factors that can protect teens from psychological harm in spite of online risk exposure. Through a web-based survey study of 75 adolescents in the US, we develop and empirically validate a theoretical model of adolescent resilience in the presence of online risks. We show evidence that resilience is a key factor in protecting teens from experiencing online risks, even when teens exhibit high levels of Internet addiction. Resilience also neutralizes the negative psychological effects associated with Internet addiction and online risk exposure. Therefore, we emphasize the importance of design solutions that foster teen resilience and strength building, as opposed to solutions targeted toward parents that often focus on restriction and risk prevention.

Through a secondary data analysis of a nationally representative Pew survey [35-36], we empirically test the validity of two contrasting theoretical models of adolescent information privacy behaviors. Our results suggest that in seeking to understand the underlying processes of teens' privacy risk-taking and risk-coping behaviors within social media, a "risk-centric" framework may be more useful than a traditional "concern-centric" framework that emphasizes privacy antecedents and outcomes. Our newly proposed and validated "risk-centric" framework implies a possible risk escalation process wherein teens make online disclosures and render themselves more susceptible to experiences of risky online interactions; in turn, these risky experiences are associated with higher levels of teen privacy concern. Higher levels of teen privacy concern predict both advice-seeking and remedy/corrective risk-coping behaviors. Drawing on theories of information privacy and developmental psychology, we discuss these findings from the perspective of allowing teens to experience some level of online risk so that they can learn how to navigate the dangers and reap the benefits of online engagement.

Through an empirical, secondary analysis of 588 teens (ages 12 - 17) and one of their parents living in the USA, we present useful insights into how parental privacy concerns for their teens and different parental mediation strategies (direct intervention versus active mediation) influence teen privacy concerns and privacy risk-taking and risk-coping privacy behaviors in social media. Our results suggest that the use of direct intervention by itself may have a suppressive effect on teens, reducing their exposure to online risks but also their ability to engage with others online and to learn how to effectively cope with online risks. Therefore, it may be beneficial for parents to combine active mediation with direct intervention so that they can protect their teens from severe online risks while empowering teens to engage with others online and learn to make good online privacy choices.

From scrolling and clicking to dragging, flipping, sliding, hovering, and zooming, the wide array of interaction techniques has vastly expanded the range of user actions on an interface. Each of these interaction techniques affords a distinct action. But do these techniques differ in their ability to engage users and contribute to their user experience? Furthermore, do they affect how users view the content and how much they learn from it? We address these questions via two between-subjects laboratory experiments. Study 1 (N = 128) investigated the relative effects of six on-screen interaction techniques (click-to-download, drag, mouseover, slide, zoom, and 3D carousel) on users' assessment of—as well as their engagement with—an informational website. The site for each condition was identical in content and design, except for the interaction technique used, so that we could isolate the effects of each technique on various cognitive, attitudinal and behavioral outcomes. Study 2 (N = 127) examined the relative effects of four combinations of interaction techniques (slide+click, slide+mouseover, drag+mouseover, and drag+zoom) on the same dependent variables. Data from Study 1 suggest that although the 3D carousel generates more user action, the slide is better at aiding memory. The zoom-in/out tool was the least favored, whereas the mouseover feature fostered greater engagement among power users. Findings from Study 2, which was conducted with a different content domain, replicated the positive effects of slide and negative effects of drag in influencing user experience. Path analyses, using structural equation modeling, revealed the importance of users' assessment of the interface (perceived levels of natural mapping, intuitiveness, and ease of use), which can have significant consequences for user engagement as well as resulting attitudes and behavioral outcomes. Design insights, theories, and techniques to test and capture user experience are discussed.

A paradigmatic quality of interactive interfaces is that they allow users to express themselves, thereby converting message receivers into communication sources. We define this quality as Source Interactivity [26, 29], and test its effects on user experience with a field experiment (N=141) of a portal site featuring cosmetic customization, functional customization and blogging (active versus filter). In demonstrating the psychological influence of source-based interactivity on such outcomes as user engagement, sense of agency, sense of community, intrinsic motivation and attitudes toward the interface, we discuss how designers can use them for creating interactive tools for self-expression.

Advances in the field of the Internet of Things (IoT) have made it possible for everyday objects to attain agency. However, it is unclear how laypersons perceive the increasingly active artifacts. These perceptions are likely to foreground their future responses to IoT objects as they become relevant actors in the physical world and begin to influence everyday user experience. We conducted an in-depth interview study to investigate individuals' knowledge, attitudes, expectations and concerns relating to IoT technologies. Findings show that affordances such as interactivity and modality can be reconceptualized in order to enhance user perceptions of relatedness with the objects. Different from technology-centric and user-centric approaches, the paper suggests a balance between human agency and object agency by adopting a need-oriented design paradigm when building an integral, self-adjusting, user-relevant archetype of IoT.

Codebook design has been investigated extensively over the past few years for quantized precoding in Multiple-Input Multiple-Output (MIMO) communication system. Grassmannian line packing (GLP) codebook is widely used in industry and literature. Traditional GLP codebook can only show good performance in spatial uncorrelated channel. But the practical channel is with varied spatial characteristic. In order to design one codebook robustly adapted to arbitrary statistic channel, a novel codebook constructed through unitary rotation of Grassmannian Line Packing (GLP) codebook is proposed in this paper. The rotation enables some codewords belong to Discrete Fourier Transform (DFT) codebook, meanwhile keeps the GLP property unchanged locally. With the virtues of DFT codebook and GLP codebook, the proposed codebook can achieve good performance in both uncorrelated channel and correlated channel.