From writing critique to setting goals, people increasingly turn to AI systems to support reflection and support in creative practice. However these interactions are most often done in solitary contexts with sycophantic models that have a tendency to reinforce existing beliefs, rather than support the active process of self discovery. In contrast, we submit Rock Talk. It is an AI mediated rock garden which facilitates asynchronous wisdom sharing between creatives in a community. Through this installation, we open a window into AI co-journaling. This concept challenges hyper personalized AI experiences. It also provides structure for creativity community building. By embedding AI within a tangible, natural, shared interface, Rock Talk proposes experiences with AI that reflect values of commitment, shared history, and time. It also serves as a wide metaphor for the collective desire for stronger connection and real social care.

While generative AI tools are increasingly adopted for creative and analytical tasks, their role in interpretive practices, where meaning is subjective, plural, and non-causal, remains poorly understood. This paper examines AI-assisted tarot reading, a divinatory practice in which users pose a query, draw cards through a randomized process, and ask AI systems to interpret the resulting symbols. Drawing on interviews with tarot practitioners and Hartmut Rosa’s Theory of Resonance, we investigate how users seek, negotiate, and evaluate resonant interpretations in a context where no causal relationship exists between the query and the data being interpreted. We identify distinct ways practitioners incorporate AI into their interpretive workflows, including using AI to navigate uncertainty and self-doubt, explore alternative perspectives, and streamline or extend existing divinatory practices. Based on these findings, we offer design recommendations for AI systems that support interpretive meaning-making without collapsing ambiguity or foreclosing user agency.

Mainstream location-based games (LBGs) highlight three foundations-exercise, exploration, and social interaction-which were hugely disrupted by the COVID-19 pandemic. This genre has already had access issues depending on the player's region, identity, ability, and technology, which the pandemic also amplified. Thus, the pandemic provided a unique opportunity to re-imagine the design of LBGs to preserve player benefits while challenging these foundations. We conducted a two-week diary study with 11 LBG players coping with difficult life circumstances, followed by remote co-design sessions. Participants continued to play primarily to maintain community connection while adjusting the mode of socialization, finding meaning through virtual exploration, and support mental health and personal growth. Participants discussed ways to enhance the experience by expanding the range of physical activities during social distancing, reimagining proximity-based social interactions, and exploring via social construction of places while expanding beyond how the three foundations are currently supported in LBGs.

Geographic phenomena often have an intrinsic temporal component that can be an important part of answering many research questions. Geospatial applications are well developed in their ability to navigate the spatial dimension of data through zoom and pan tools, but are less developed in their temporal navigation abilities. Improved temporal navigation tools are important for achieving a simplified and more thorough analysis of spatio-temporal data. This paper presents new approaches for navigating the temporal dimension of spatio-temporal data in a multi-touch environment using temporal zoom and pan. Two approaches, Dynamic Radial Navigation and Multiple Linked Time Sliders, were implemented and tested with a user evaluation that compared them to two approaches based on more commonly available temporal navigation tools, Drop-Down List and Date/Time Spinners. Results from the user evaluation indicated that although all of the approaches were effective, there were variations in efficiency and perceptions of ease of use and usefulness. The results of the study favoured the Date/Time Spinners, even though these consumed the largest amount of display space. The participants did acknowledge the value of the visualization and interaction elements in the new approaches, but reported difficulty in using them due to their compact size. These findings illustrate the delicate balance between size, utility, and novelty, which must be carefully managed in the development of multi-touch data analysis tools.