Homework tutoring work is a demanding and often conflict-prone practice in family life, and parents often lack targeted support for managing its cognitive and emotional burdens. Through interviews with 18 parents of children in grades 1–3, we examine how homework-related labor is divided and coordinated between parents, and where AI might meaningfully intervene. We found three key insights: (1) Homework labor encompasses distinct dimensions: physical, cognitive, and emotional, with the latter two often remaining invisible. (2) We identified father-mother-child triadic dynamics in labor division, with children’s feedback as the primary factor shaping parental labor adjustments. (3) Building on prior HCI research, we propose an AI design that prioritizes relationship maintenance over task automation or broad labor mitigation. By employing labor as a lens that integrates care work, we explore the complexities of labor within family contexts, contributing to feminist and care-oriented HCI and to the development of context-sensitive coparenting practices.

Assessing children’s cognitive development in early mathematics is vital for effective teaching. Compared to closed-ended questions, which may fail to capture nuanced developmental spectrum, open-ended elicitation tasks (e.g., asking students to manipulate objects or draw to represent numbers) serve as a promising approach to reveal deeper cognitive processes. However, their diverse and unstructured nature makes systematic analysis challenging for teachers. We present OpenCD, a teacher-facing system that automatically analyzes multimodal student responses to capture individualized insights. Based on Evidence-Centered Design, it combines Vision-Language Models (VLMs) and expert models to generate interactive diagnostic graphs and reports with traceability back to behavioral evidence. In our two-part evaluation, a validation study found 90.3% of the system’s diagnoses “completely reasonable,” and a user study showed that OpenCD reduced teachers’ analysis burden and enhanced their insights into student thinking. Our work contributes to scalable process-based assessment for mathematical literacy.

The integration of AI-driven support systems within online communities has opened new avenues for enhancing user engagement and support efficiency in recent years. This study investigates the differences in user interactions and engagement within two distinct support channels on the VRChat Discord server: “user support,” where human users provide assistance to peers, and “AI support,” where an AI chatbot addresses user queries. By analyzing user engagement, response dynamics, and interaction patterns across these channels, we uncover different usage patterns and user attitudes toward each approach. Our research employs both quantitative and qualitative methods to explore the trends in the VRChat community when using AI and user support, highlighting the unique advantages and limitations of AI-driven support compared to traditional human assistance. The findings offer valuable insights into optimizing AI and human support systems, aiming to foster more effective support strategies and create more engaging online communities.

During community decision-making and civic collaboration, conflicts can escalate when people suspect misinformation. We introduce the concept of sense of misinformation as experiencing someone's language or behavior as misinformation when it is not, that is to say when no falsehood is involved. Misinformation and sense of misinformation feel similar and can have similar social consequences; but sense of misinformation rests upon a mistaken perception of someone else's information as false. Through a case study of a casino proposal in local community, we examine how sense of misinformation developed over time during a contentious civic process through key factors (i.e., miscoordination governance, miscommunication between local government and citizens, and conflict and the breakdown of civic discourse), undermining trust and community democracy. Distinguishing between misinformation and sense of misinformation presents a challenge, but it is important. We contribute a conceptual distinction to the misinformation literature by identifying this distinct phenomenon and discuss ways to help communities recognize and repair such misattributions. Finally, we discuss design approaches for mitigating sense of misinformation.

Couples often experience a decrease in closeness as they cope with the demands of parenthood.Existing technologies have supported parenting and parental collaboration.However, these technologies do not adequately support closeness in co-parenting.We use scenarios and design probes to brainstorm with 10 new parent couples to explore and envision possibilities for technologies to support closeness.We reported parents' current technology use for co-parenting and how participants considered and envisioned co-parenting technology for closeness, including information and task sharing, emotion awareness and disclosure, and fostering fun interaction.We discuss the potential technology has for fostering closeness in co-parenting by (1) fostering interdependence by supporting parental competence and (2) integrating positive emotions and experiences, such as validation and fun, in parenting.Based on our findings, we expand the design space of technology for closeness to include interdependence.We also expand the design space for co-parenting technology by integrating more positive emotions.

In social Virtual Reality (VR), particularly within VRChat, a significant group of users often referred to as "mutes" refrain from voice communication. This study analyzes 4212 discussion entries, including both original submissions and comments, from the r/VRchat subreddit to explore the experiences and reasons behind this practice. Our findings indicate that muteness is an integral aspect of social VR culture, yet mute users face challenges, including exposure to abusive behaviors and communication barriers in a fast-paced environment. Factors of social VR like harassment, heightened social anxiety from the immersive presence, and the complexities of identity management can discourage voice communication, leading many to adopt "muteness" as a response. This behavior can be seen within the broader context of social disability, challenging normative communication assumptions. We highlight the risks of generalizing marginalized communities and emphasize the need for further research to address and support the unique needs of these groups in social VR spaces.

Infrastructure is an indispensable part of human life. In the past decades, the Human-Computer Interaction (HCI) community has paid increasing attention to human interactions with infrastructure. In this paper, we conducted a systematic literature review on infrastructure studies in SIGCHI, one of the most influential communities in HCI. We collected a total of 190 primary studies; the corpus includes studies published between 2006 and 2024. Most of the studies are inspired by Susan Leigh Star's notion of infrastructure. We discover three themes of infrastructure studies, including growing infrastructure, appropriating infrastructure, and coping with infrastructure. We foreground the overall trend of infrastructure studies in SIGCHI, which focuses on informal infrastructural activities in various socio-technical contexts. Especially, we discuss studies that problematize infrastructures and alert the HCI community about the underlying harmful side of infrastructure.

Community management is critical for stakeholders to collaboratively build and sustain communities with socio-technical support. However, most of the existing research has mainly focused on the community members and the platform, with little attention given to the developers who act as intermediaries between the platform and community members and develop tools to support community management. This study focuses on third-party developers (TPDs) for the live streaming platform Twitch and explores their tool development practices. Using a mixed method with in-depth qualitative analysis, we found that TPDs maintain complex relationships with different stakeholders (streamers, viewers, platform, professional developers), and the multi-layered policy restricts their agency regarding idea innovation and tool development. We argue that HCI research should shift its focus from tool users to tool developers with regard to community management. We propose designs to support closer collaboration between TPDS and the platform and professional developers and streamline TPDs’ development process with unified toolkits and policy documentation.

The Human-Computer Interaction (HCI) community has consistently focused on the experiences of users moderated by social media platforms. Recently, scholars have noticed that moderation practices could perpetuate biases, resulting in the marginalization of user groups undergoing moderation. However, most studies have primarily addressed marginalization related to issues such as racism or sexism, with little attention given to the experiences of people with disabilities. In this paper, we present a study on the moderation experiences of blind users on TikTok, also known as "BlindToker," to address this gap. We conducted semi-structured interviews with 20 BlindTokers and used thematic analysis to analyze the data. Two main themes emerged: BlindTokers’ situated content moderation experiences and their reactions to content moderation. We reported on the lack of accessibility on TikTok’s platform, contributing to the moderation and marginalization of BlindTokers. Additionally, we discovered instances of harassment from trolls that prompted BlindTokers to respond with harsh language, triggering further moderation. We discussed these findings in the context of the literature on moderation, marginalization, and transformative justice, seeking solutions to address such issues.

Abstract Social Virtual Reality (VR) is growing in popularity and has drawn the attention of HCI academics. Social VR experiences harassment just like other online environments. The Trust System (TS) in VRChat, one of the most prominent social VR platforms, is designed to measure and indicate users’ trustworthiness in order to reduce toxicity in the platform. In this research, we analyzed data from “r/VRChat,” to understand how users perceive the system. We found that users interpret the system differently. Problems in its implementation cause distrust. The trust ranks, while intended to promote positive interactions, can actually lead to stereotyping and discourage communication between users of different ranks. The hierarchical structure within the ranks exacerbates discrimination and conflicts, particularly against the low-ranked users. We further discuss that trust ranks present challenges to newcomers and contribute to a competitive atmosphere that hinders the formation of less toxic norms. Finally, we provide implications for the future design of similar systems.

Identity work in Human-Computer Interaction (HCI) has examined the asset-based design of marginalized groups who use technology to improve their quality of life. Our study illuminates the identity work of people with disabilities, specifically, visual impairments. We interviewed 45 BlindTokers (blind users on TikTok) from various backgrounds to understand their identity work from a positive design perspective. We found that BlindTokers leverage the affordance of the platform to create positive content, express their identities, and build communities with the desire to flourish. We proposed flourishing labor to present the work conducted by BlindTokers for their community's flourishing with implications to support the flourishing labor. This work contributes to understanding blind users' experience in short video platforms and highlights that flourishing is not just an activity for any single blind user but also a collective effort that necessitates serious and committed contributions from platforms and the communities they serve.

As each micro community centered around the streamer attempts to set its own guidelines in live streaming communities, it is common for volunteer moderators (mods) and the streamer to disagree on how to handle various situations. In this study, we conducted an online survey (N=240) with live streaming mods to explore their commitment to the streamer to grow the micro community and the different styles in which they handle conflicts with the streamer. We found that 1) mods apply more active and cooperative styles than passive and assertive styles to manage conflicts, but they might be forced to do so, and 2) mods with strong commitments to the streamer would like to apply styles showing either high concerns for the streamer or low concerns for themselves. We reflect on how these results can affect micro community development and recommend designs to mitigate conflict and strengthen commitment.

Online harassment and content moderation have been well-documented in online communities. However, new contexts and systems always bring new ways of harassment and need new moderation mechanisms. This study focuses on hate raids, a form of group attack in real-time in live streaming communities. Through a qualitative analysis of hate raids discussion in the Twitch subreddit (r/Twitch), we found that (1) hate raids as a human-bot coordinated group attack leverages the live stream system to attack marginalized streamers and other potential groups with(out) breaking the rules, (2) marginalized streamers suffer compound harms with insufficient support from the platform, (3) moderation strategies are overwhelmingly technical, but streamers still struggle to balance moderation and participation considering their marginalization status and needs. We use affordances as a lens to explain how hate raids happens in live streaming systems and propose moderation-by-design as a lens when developing new features or systems to mitigate the potential abuse of such designs.

Volunteer moderators (mods) play significant roles in developing moderation standards and dealing with harmful content in their micro-communities. However, little work explores how volunteer mods work as a team. In line with prior work about understanding volunteer moderation, we interview 40 volunteer mods on Twitch — a leading live streaming platform. We identify how mods collaborate on tasks (off-streaming coordination and preparation, in-stream real-time collaboration, and relationship building both off-stream and in-stream to reinforce collaboration) and how mods contribute to moderation standards (collaboratively working on the community rulebook and individually shaping community norms). We uncover how volunteer mods work as an effective team. We also discuss how the affordances of multi-modal communication and informality of volunteer moderation contribute to task collaboration, standards development, and mod’s roles and responsibilities.

When people have the freedom to create and post content on the internet, particularly anonymously, they do not always respect the rules and regulations of the websites on which they post, leaving other unsuspecting users vulnerable to sexism, racism, threats, and other unacceptable content in their daily cyberspace diet. However, content moderators witness the worst of humanity on a daily basis in place of the average netizen. This takes its toll on moderators, causing stress, fatigue, and emotional distress akin to the symptomology of post-traumatic stress disorder (PTSD). The goal of the present study was to explore whether adding positive stimuli to breaktimes-images of baby animals or beautiful, aweinspiring landscapes-could help reduce the negative side-effects of being a content moderator. To test this, we had over 300 experienced content moderators read and decide whether 200 fake text-based social media posts were acceptable or not for public consumption. Although we set out to test positive emotional stimulation, however, we actually found that it is the cumulative nature of the negative emotions that likely negates most of the effects of the intervention: the longer the person had practiced content moderation, the stronger their negative experience. Connections to compassion fatigue and how best to spend work breaks as a content moderator are discussed.

Rules and norms are critical to community governance. Live streaming communities like Twitch consist of thousands of micro-communities called channels. We conducted two studies to understand the micro-community rules. Study one suggests that Twitch users perceive that both rules transparency and communication frequency matter to channel vibe and frequency of harassment. Study two finds that the most popular channels have no channel or chat rules; among these having rules, rules encouraged by streamers are prominent. We explain why this may happen and how this contributes to community moderation and future research.

Volunteer moderators actively engage in online content management, such as removing toxic content and sanctioning anti-normative behaviors in user-governed communities. The synchronicity and ephemerality of live-streaming communities pose unique moderation challenges. Based on interviews with 21 volunteer moderators on Twitch, we mapped out 13 moderation strategies and presented them in relation to the bad act, enabling us to categorize from proactive and reactive perspectives and identify communicative and technical interventions. We found that the act of moderation involves highly visible and performative activities in the chat and invisible activities involving coordination and sanction. The juxtaposition of real-time individual decision-making with collaborative discussions and the dual nature of visible and invisible activities of moderators provide a unique lens into a role that relies heavily on both the social and technical. We also discuss how the affordances of live-streaming contribute to these unique activities.

Live streaming is a form of interactive media that potentially makes streamers more vulnerable to harassment due to the unique attributes of the technology that facilitates enhanced information sharing via video and audio. In this study, we document the harassment experiences of 25 live streamers on Twitch from underrepresented groups including women and/or LGBTQ streamers and investigate how they handle and prevent adversity. In particular, live streaming enables streamers to self-moderate their communities, so we delve into the methods of how they manage their communities from both a social and technical perspective. We found that technology can cover the basics for handling negativity, but much emotional and relational work is invested in moderation, community maintenance, and self-care.

Content moderation is an essential part of online community health and governance. While much of extant research is centered on what happens to the content, moderation also involves the management of violators. This study focuses on how moderators (mods) make decisions about their actions after the violation takes place but before the sanction by examining how they "profile" the violators. Through observations and interviews with volunteer mods on Twitch, we found that mods engage in a complex process of collaborative evidence collection and profile violators into different categories to decide the type and extent of punishment. Mods consider violators' characteristics as well as behavioral history and violation context before taking moderation action. The main purpose of the profiling was to avoid excessive punishment and aim to integrate violators more into the community. We discuss the contributions of profiling to moderation practice and suggest design mechanisms to facilitate mods' profiling processes.