Many people struggle to control their use of digital devices. However, our understanding of the design mechanisms that support user self-control remains limited. In this paper, we make two contributions to HCI research in this space: first, we analyse 367 apps and browser extensions from the Google Play, Chrome Web, and Apple App stores to identify common core design features and intervention strategies afforded by current tools for digital self-control. Second, we adapt and apply an integrative dual systems model of self-regulation as a framework for organising and evaluating the design features found. Our analysis aims to help the design of better tools in two ways: (i) by identifying how, through a well-established model of self-regulation, current tools overlap and differ in how they support self-control; and (ii) by using the model to reveal underexplored cognitive mechanisms that could aid the design of new tools.

There is a growing interest in human-computer interaction (HCI) to envision, design, and evaluate technology-enabled interventions that support users’ emotion regulation. This interest stems in part from increased recognition that the ability to regulate emotions is critical to mental health, and that a lack of effective emotion regulation is a transdiagnostic factor for mental illness. However, the potential to combine innovative HCI designs with the theoretical grounding and state-of-the-art interventions from psychology has yet to be fully realised. In this article, we synthesise HCI work on emotion regulation interventions and propose a three-part framework to guide technology designers in making: (i) theory-informed decisions about intervention targets; (ii) strategic decisions regarding the technology-enabled intervention mechanisms to be included in the system; and (iii) practical decisions around previous implementations of the selected intervention components. We show how this framework can both systematise HCI work to date and suggest a research agenda for future work.

Designing for reflection is becoming an increasingly important part of many HCI systems in a wide range of application domains. However, there is a gap in our understanding of how the process of reflection can be supported through technology. In fact, an implicit assumption in the majority of existing work is that, just by providing access to well-selected data, in-depth reflection can and will occur. To counter this view, we draw on Schön's notion of reflective practicum and apply it as a sensitising concept to identify the complex interplay of factors that support transformative reflection in the context of two social-emotional learning (SEL) studies. The results highlight the need to carefully scaffold the process of reflection, rather than simply assume that the capability to reflect is a broadly available trait to be 'triggered' through data. Building on this analysis, we develop a conceptual framework that extends the concept of the reflective practicum towards identifying appropriate roles of technology to support transformative reflection. While our case is within the context of SEL, we argue that a deeper understanding of these opportunities can also benefit designing for reflection in other areas.

Supporting social interactions is a long-term focus for Human Computer Interaction (HCI) and Computer Supported Cooperative Work (CSCW). However, understanding how social and emotional skills are learned, and how this process can be supported by technology, is an important but underresearched area in HCI so far. To address this gap, we review existing approaches to social and emotions skills learning (SEL) in other fields, with a specific focus on SEL in education, in which a large number of evidence-based programs is widely deployed. In doing so, the primary aim of this article is to provide a foundation and set an agenda for future research on the design of technology that would support, and help teach, social and emotional skills. We identify the key challenges to successful learning shared by SEL programs in education—such as embedding skills learned in class also into everyday situations, promoting reflection, and providing additional opportunities for practice—and outline how these could be addressed by digital technology. Overall, our key argument is that much existing HCI work could be used in support of social and emotional skills learning in education, and possibly other domains, but that the topic has not been explored so far. We also highlight how the focus on supporting SEL would bring novel opportunities and challenges for HCI, as well as provide a basis for a strong HCI research agenda in this space.

Youth well-being, social connectedness, and personality traits, such as empathy and narcissism, are at the crux of concerns often raised about the impacts of digital life. Understanding known impacts, and research gaps, in these areas is an important first step toward supporting media use that contributes positively to youth’s happiness, life satisfaction, and prosocial attitudes and behaviors. By examining existing work addressing these issues across domains, we found that a complex interplay of individual factors, type of digital media engagement, and experiences in media contexts informs outcomes related to well-being, social connectedness, empathy, and narcissism. We argue that further research is needed to uncover how, where, when, and for whom digital media practices support positive well-being and social connectedness outcomes. Specifically, research needs to move beyond correlational studies to uncover causal connections between traits like narcissism and media use. Longitudinal studies are also needed to explore patterns of media use over time and related impacts. Further research is needed to explore how specific technologies can be designed to support positive well-being, social outcomes, and prosocial personality traits. Finally, research is needed regarding parenting, educational practices, and policies that support positive digital media use and related outcomes. Although existing research suggests that digital life has mixed potentials and effects for well-being, social connectedness, empathy, and narcissism, we provide recommendations for clinicians, policy makers, and educators in partnering with caregivers and youth to support media use that promotes positive outcomes in these areas.

Advances in biosensing make it possible to include heart rate monitoring in applications and several studies have suggested that heart rate communication has potential for improving social connectedness. However, it is not known how people understand heart rate feedback, or what issues need to be taken into account when designing technologies including heart rate feedback. To explore this, we created a heart rate communication probe that was used in two qualitative in-lab studies and a two-week field trial in participants' homes. Results show that heart rate feedback is a strong connectedness cue that affects the interaction in various ways, depending on a number of interrelated factors. In particular, we found two distinct categories of effects: heart rate as information and heart rate as connection. We propose two mechanisms that could explain these observations and draw out the implications they have for future use of heartbeat communication to support social connectedness or other aspects of social interaction.