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- Hansson, Karin, 1967-, et al.
(författare)
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A Toolbox of Feminist Wonder : Theories and methods that can make a difference
- 2023
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Ingår i: CSCW '23 Companion. - New York : Association for Computing Machinery (ACM). - 9798400701290 ; , s. 476-480
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Konferensbidrag (refereegranskat)abstract
- theoretical and methodological approaches that have provided us with useful tools to see things differently and make space for change. Since its inception over a decade ago, feminist HCI has progressed from the margins to mainstream HCI, with numerous references in the literature. Feminist HCI has also evolved to incorporate other critical HCI practices such as Queer HCI, participatory design, and speculative design. While feminist approaches have grown in popularity and become mainstream, it is getting more difficult to distinguish the feminist emancipatory core from other attempts of developing and improving society in various ways. In this workshop, we therefore want to revisit our feminist roots, where theory is a liberatory and creative practice, motivated by affect, curiosity, and wonder. From this standpoint, we consider which of our feminist tools can make a significant difference today, in a highly datafied world. The goal of this workshop is to; 1) create an inventory of feminist theories and concepts that have had an impact on our work as designers, educators, researchers, and activists; 2) develop a feminist toolbox for the CSCW community to strengthen our feminist literacy.
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| 2. |
- Pellerine, Liam P., et al.
(författare)
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Step Length, But Not Stepping Cadence, Strongly Predicts Physical Activity Intensity During Jogging and Running
- 2023
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Ingår i: Measurement in Physical Education and Exercise Science. - : Taylor & Francis. - 1091-367X .- 1532-7841. ; 27:4, s. 352-361
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Tidskriftsartikel (refereegranskat)abstract
- Device-based measures often rely on the positive relationship between walking cadence and metabolic equivalents of task (METs) to estimate physical activity. It is unknown whether this relationship remains during jogging/running. The study purpose was to investigate the relationships between METs, cadence, and step length during walking and jogging/running. A treadmill protocol with 5 walking (3.2–6.4 km•hr−1) and 5 jogging/running stages (8.0–11.3 km•hr−1) was completed in 43 adults (23 ± 5 years, 19♀). Predictors of METs during walking and jogging/running were determined by generalized mixed modeling. The strongest prediction models for walking (R2 = 0.72, P < .001) and jogging/running (R2 = 0.75, P < .001) included cadence2, cadence, step length, age, and leg length (all, P < .001). Step length accounted for 49.1% and 78.3% of model variance during walking and jogging/running, respectively. METs are poorly estimated by cadence during jogging/running but step length reduces error. Strategies to measure step length in free-living settings could better predict physical activity intensity.
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