Menstrual pain or \textit{dysmenorrhea} refers to abdominal cramping or pain before and during menstruation, causing a spectrum of discomfort among people who menstruate. Menstrual pain is often regarded as `female trouble', as a nuisance that gets dismissed or as a symptom requiring medical intervention. While there are FemTech products that explicitly attend to menstrual pain, they predominantly seek to hide it without accounting for the lived experience of this pain. In this paper we use feminist disability studies (FDS) as a critical analytical lens to reframe the understanding of menstrual pain. Using this lens, we conduct an interaction critique of FemTech market exemplars for alleviating menstrual pain. We then offer three design provocations to better design menstrual pain technology and call for designers to attend to menstrual pain as a cyclical, chronic lived experience with the potential of spurring leaky contagious coalitions.
https://doi.org/10.1145/3613904.3642691
The automatic generation of sports highlight videos is emerging in both the sports entertainment domain and research community. Earlier methods for generating highlights rely on visual-audio cues or contextual cues, so they may not capture the overall flow of the game well. In this paper, we propose a technique based on Win Probability Added (WPA), an empirical sabermetric baseball statistic, to generate baseball highlights that can better reflect in-game dynamics. Additionally, we introduce methods for generating “biased” highlights toward one team by systematically manipulating WPAs. Through a mixed-method user study with 43 baseball enthusiasts, we found that participants evaluated WPA-based highlights more favorably than existing AI highlights. For (un)favorably biased highlights, the game result(win/loss) was the most dominating factor in user perception, but bias directions and strengths also had nuanced effects on them. Our work contributes to the development of automated tools for generating customized sports highlights.
https://doi.org/10.1145/3613904.3642021
Many people do not get enough physical activity. Establishing routines to incorporate physical activity into people's daily lives is known to be effective, but many people struggle to establish and maintain routines when facing disruptions. In this paper, we build on prior self-experimentation work to assist people in establishing or improving physical activity routines using a framework we call “reflective iteration.” This framework encourages individuals to articulate, reflect upon, and iterate on high-level “strategies” that inform their day-to-day physical activity plans. We designed and deployed a mobile application, Planneregy, that implements this framework. Sixteen U.S. college students used the Planneregy app for 42 days to reflectively iterate on their weekly physical exercise routines. Based on an analysis of usage data and interviews, we found that the reflective iteration approach has the potential to help people find and maintain effective physical activity routines, even in the face of life changes and temporary disruptions.
https://doi.org/10.1145/3613904.3641937
Algorithmic estimations of worker behavior are gaining popularity. Passive Sensing–enabled AI ( PSAI ) systems leverage behavioral traces from workers' digital tools to infer their experience. Despite their conceptual promise, the practical designs of these systems elicit tensions that lead to workers resisting adoption. This paper teases apart the monolithic representation of PSAI by investigating system components that maximize value and mitigate concerns. We conducted an interactive online survey using the Experimental Vignette Method. Using Linear Mixed-effects Models we found that PSAI systems were more acceptable when sensing digital time use or physical activity, instead of visual modes. Inferences using language were only acceptable in work-restricted contexts. Compared to insights into performance, workers preferred insights into mental wellbeing. However, they resisted systems that automatically forwarded these insights to others. Our findings provide a template to reflect on existing systems and plan future implementations of PSAI to be more worker-centered.
https://doi.org/10.1145/3613904.3642716
We introduce the concept of disorientation as an emerging critical methodological strategy for design research in HCI. Disorientation is a phenomenological concept developed by queer feminist theorist Sarah Ahmed that acknowledges the spatio-embodied ‘orientations’ of societal and cultural norms and the queering potential of ‘disorientations’. We use humanistic close reading to analyze three examples from queer, feminist, and more-than-human work in HCI. Our interpretation focuses on how HCI researchers utilize disorientation as a methodological strategy for questioning norms of technologies as well as generatively, toward alternatives. We discuss the tenets of disorientation and several tactics we saw emerge in practice for other practitioners to build upon. Finally, we reflect on implications for the field, as disorientation requires vulnerability and willingness to undergo change, acknowledges embodied knowledge that emerges before interpretation, and suggests the possibility of generative and alternative orientations stemming from those epistemological commitments.
https://doi.org/10.1145/3613904.3642724