GenUI: good first draft, tough last mile GenUI should support roles beyond UX and further team-level activities GenUI should address practical considerations, e.g., accessibility & standards §4.1:How various roles use GenUI §4.2:How GenUI can support all roles §4.4: GenUI's challenges & areas for improvement §4.3:How GenUI can support non-UXD roles Figure 1: We conducted a formative diary study with 37 UX-related professionals who used a state-of-the-art Generative UI (GenUI) tool to conduct a week-long, individual mini-project exercise with role-specific tasks.Our findings reveal participants' workflow using the GenUI tool, how GenUI can support all and each specific roles, and existing gaps between GenUI and users' needs and expectations, which lead to design implications to inform future work on GenUI development.

Algorithms have played a central role in personalized recommendations on social media. However, they also present significant obstacles for content creators trying to predict and manage their audience reach. This issue is particularly challenging for marginalized groups seeking to maintain safe spaces. Our study explores how women on Xiaohongshu (rednote), a recommendation-driven social platform, proactively re-appropriate hashtags (e.g., #Baby Supplemental Food) by using them in posts unrelated to their literal meaning. The hashtags were strategically chosen from topics that would be uninteresting to the male audience they wanted to block. Through a mixed-methods approach, we analyzed the practice of hashtag re-appropriation based on 5,800 collected posts and interviewed 24 active users from diverse backgrounds to uncover users' motivations and reactions towards the re-appropriation. This practice highlights how users can reclaim agency over content distribution on recommendation-driven platforms, offering insights into self-governance within algorithmic-centered power structures.

Recent advances in general-purpose AI underscore the urgent need to align AI systems with human goals and values. Yet, the lack of a clear, shared understanding of what constitutes "alignment" limits meaningful progress and cross-disciplinary collaboration. In this position paper, we argue that the research community should explicitly define and critically reflect on "alignment" to account for the bidirectional and dynamic relationship between humans and AI. Through a systematic review of over 400 papers spanning HCI, NLP, ML, and more, we examine how alignment is currently defined and operationalized. Building on this analysis, we introduce the Bidirectional Human-AI Alignment framework, which not only incorporates traditional efforts to align AI with human values but also introduces the critical, underexplored dimension of aligning humans with AI – supporting cognitive, behavioral, and societal adaptation to rapidly advancing AI technologies. Our findings reveal significant gaps in current literature, especially in long-term interaction design, human value modeling, and mutual understanding. We conclude with three central challenges and actionable recommendations to guide future research toward more nuanced, reciprocal, and human-AI alignment approaches.

Beginning in 2020, the COVID-19 pandemic and its economic repercussions exacerbated food insecurity in the United States. Government-led infrastructure was depleted as a result of a dramatic increase in the number of individuals requesting basic necessities and food aid, and grassroots attempts to alleviate the resource shortage increased. The Community Fridge movement was one of these initiatives that combated food insecurity and food waste. It consisted of local community members sharing surplus food with neighbors via a shared refrigerator placed on a sidewalk. We conducted semi-structured interviews with its 17 users to understand how they practice information, human, and social infrastructuring work, as well as how their core values shaped norms for managing refrigerators and surplus food as the commons in local communities. We discuss how the concepts of commoning and infrastructuring may complement one another, which can help design value-embedded interventions to promote infrastructuring practices that build resilience and sustain commoning practices.

COVID-19 changed society in terms of employment, food security, and mental health, affecting all segments of the population. Surging demands for a wide range of support could not be met solely by government-led disaster assistance that experienced breakdowns in the initial phase of the pandemic. The nature of the pandemic as a global, long-haul disaster necessitated sustained, diverse, and extensive civic disaster relief to complement government response. In this paper, we explore how civic disaster relief groups carry out online and offline coordination activities to engage different actors and their positive effects on individuals and local communities, drawing on interviews with civic disaster relief organizers and volunteers in the United States. We interpret our findings with the lens of coproduction that can increase the sustainability, diversity, and extent of civic relief efforts. We then suggest design implications for coproducing disaster relief and discuss the importance and benefits of involving stakeholders who are less likely to be engaged in producing relief.

The COVID-19 global pandemic brought forth wide-ranging, unanticipated changes in human interaction, as communities rushed to slow the spread of the coronavirus. In response, local geographic community members created grassroots care-mongering groups on social media to facilitate acts of kindness, otherwise known as care-mongering. In this paper, we are interested in understanding the types of care-mongering that take place and how such care-mongering might contribute to community collective efficacy (CCE) and community resilience during a long-haul global pandemic. We conducted a content analysis of a care-mongering group on Facebook to understand how local community members innovated and developed care-mongering practices online. We observed three facets of care-mongering: showing appreciation for helpers, coming up with ways of supporting one another's needs, and continuing social interactions online and present design recommendations for further augmenting care-mongering practices for local disaster relief in online groups.

People express their creativity through something that they enjoy doing. Through engagement in creative work, creators cultivate their identity, enhance problem-solving skills, and speak their thoughts and feelings. In this paper, we look into how a community of practice supports members in legitimizing their creativity. We conducted a user study with members of a home brewing community to understand their creative beer-crafting practice. We first interviewed 11 home brewers, nine of which are members of a home brew club and two who did not belong to any home brewing organization. We then observed club members as they participated in club activities. Our findings suggest that two types of resource sharing are key in supporting different aspects of creativity in a community of practice. Based on these findings, we propose design strategies for supporting sharing in a creative community of practice.