Abstract
Women returning to grassroots football during motherhood navi-
gate physical, emotional, and social challenges poorly represented
by performance-focused sport technologies. We present a design
study exploring how explanatory visualisation can support reflec-
tion, understanding, and belonging during return-to-play. Drawing
on survey responses from mothers in grassroots football, we use the
Empathy-Driven Visualisation Framework (EDVF) and Five De-
sign Sheets (FDS) to translate lived experiences into Field Guide, an
interactive timeline-based prototype. The design represents return-
to-play as non-linear through revisitable states, narrative context,
community perspectives, and domain-aligned visuals. Our findings
demonstrate how explanatory visualisation can move beyond per-
formance metrics to support sensemaking and recognition within
socially embedded experiences.
gate physical, emotional, and social challenges poorly represented
by performance-focused sport technologies. We present a design
study exploring how explanatory visualisation can support reflec-
tion, understanding, and belonging during return-to-play. Drawing
on survey responses from mothers in grassroots football, we use the
Empathy-Driven Visualisation Framework (EDVF) and Five De-
sign Sheets (FDS) to translate lived experiences into Field Guide, an
interactive timeline-based prototype. The design represents return-
to-play as non-linear through revisitable states, narrative context,
community perspectives, and domain-aligned visuals. Our findings
demonstrate how explanatory visualisation can move beyond per-
formance metrics to support sensemaking and recognition within
socially embedded experiences.
| Original language | English |
|---|---|
| Publication status | Accepted/In press - 2026 |
| Event | IEEE VIS: Visualization & Visual Analytics: The premier forum for advances in visualization and visual analytics - America, Boston Duration: 9 Nov 2026 → … https://ieeevis.org/year/2026/welcome/posters |
Conference
| Conference | IEEE VIS: Visualization & Visual Analytics |
|---|---|
| City | Boston |
| Period | 9/11/26 → … |
| Internet address |
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