Performing a golf swing is a complex sensorimotor skill. HCI research on golf has focused on support for golfers to optimize bodily performances of movements in the swing in controlled environments such as driving ranges, practice greens, or simulators. Our study turns attention to golfers’ reflective “swing thoughts” — heuristics that they use to guide their swing — to explore design support for playing rounds on actual golf courses. Based on an autoethnography of the first author's experience of using 12 swing thoughts over 14 nine-hole rounds, we identify three reflective processes and six challenges with selecting and modifying swing thoughts on the course. We then lay out possibilities for collecting and integrating data about swing thoughts with on- and off-course feedback. Our findings open up a novel approach to HCI research on sports, and embodied experience more generally, to leverage in situ reflection.

Despite many HCI studies of diverse factors shaping users’ navigation experiences, how to design navigation systems to be adaptable to all of these factors remains a challenge. To address this challenge, we study general variations in users’ intended navigation experiences. Based on 30 interviews, we find that interactions with navigation apps can be subsumed under three “modes”: follow, modify, and background. For each mode of interaction, we highlight users’ key motivations, interactions with apps, and challenges. We propose these modes as higher-level concepts for exploring how to enable the details of navigation support to be adaptable to users’ generally intended navigation experiences. We discuss broader implications for issues of efficiency and overreliance in our experience of the physical environments through navigation apps.

The bereaved interact with photos of the deceased in various ways to maintain continuing bonds. Extant research in HCI and interaction design suggests leveraging data on photos’ contexts (e.g., time and place) to support photo use by the bereaved. Extending this research, we interviewed 17 bereaved parents to examine how the bereaved might also interact with photos’ content (e.g., color schemes, facial expressions). We characterize their interactions as processes of meaning-making that enabled them to keep their finite photos relevant and maintain continuing bonds with their children. By identifying meaning-making processes in terms of interactions with both photos’ content and contexts, we open up possibilities for supporting photo use for the bereaved that leverage content-related data. Our findings more broadly highlight the importance of accounting for subjective meaning-making processes in data-driven approaches to photo use in HCI and computer vision.

People with visual impairments (PVI) access photos through image descriptions. Thus far, research has studied what PVI expect in these descriptions mostly regarding functional purposes (e.g., identifying an object) and when engaging with online, publicly available images. Extending this research, we interviewed 30 PVI to understand their expectations for image descriptions when viewing, taking, searching, and reminiscing with personal photos on their own devices. We show how their expectations varied across photo activities and often went well beyond identifying objects in photos. Based on our findings, we propose design opportunities for generating and providing image descriptions for personal photo use by PVI. The design opportunities for PVI also point to novel support for the sighted for using image descriptions to enrich their experience of photos.

Domain experts play an essential role in data science by helping data scientists situate their technical work beyond the statistical analysis of large datasets. How domain experts themselves may engage with data science tools as a type of end-user remains largely invisible. Understanding data science as domain expert-driven depends on understanding how domain experts use data. Drawing on an ethnographic study of a craft brewery in Korea, we show how craft brewers worked with data by situating otherwise abstract data within their brewing practices and settings. We contribute theoretical insight into how domain experts use data distinctly from technical data scientists in terms of their view of data (situated vs. abstract), purposes for engaging with data (guiding processes over predicting outcomes), and overall goals of using data (flexible control vs. precision). We propose four ways in which working with data can be supported through the design of data science tools, and discuss how craftwork can be a useful lens for integrating domain expert-driven understandings of data science into CSCW and HCI research.

This paper examines "repairedness" - the contingently stable, working version of an artifact under repair that is negotiated out of multiple possible versions to bring about the temporary conclusion of repair work. Our paper draws on an ethnographic study of an analog electronics repair community in Seoul, South Korea to develop two contributions. First, studying processes of negotiating the repairedness of an artifact accounts for contingency in the properties of the artifact itself, which differs from contingencies in collaborative work practices that have been a focus of CSCW research on repair. Second, a concept of repairedness highlights how ongoing processes of interacting with an artifact nonetheless need to be brought to contingent conclusions, suggesting that an artifact's properties are a valuable site for sustainable engagement. These contributions help CSCW research on repair account for the multiplicity of artifacts highlighted by STS scholars as integral to how humans sustainably engage with artifacts in their practices.