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Making Gait Visible: Actionable Insights for Augmented Foot Interfaces

Gunklach, Jonas 1; Bauer, Max
1 Institut für Wirtschaftsinformatik (WIN), Karlsruher Institut für Technologie (KIT)

Abstract:

Despite hardware advancements in smart footwear, translating complex biomechanical data into actionable insights remains a critical challenge in Bio-HCI. Current systems often overwhelm users with raw metrics, creating an actionability gap. To address this, we conducted a two-phase User-Centered Design approach. A formative qualitative study with 10 athletes revealed profound cognitive overload from raw data, a strong need for somatosensory translation, and a demand for proactive, real-time vibrotactile intervention over retrospective dashboards. Second, an expert walkthrough with an orthopedic specialists validated the concept of translating this data into more actionable insights. Based on these insights, we propose a generalized design framework for smart footwear that shifts the paradigm from passive data collection to closed-loop, somatosensory bio-feedback. By providing real-time, embodied interventions, this approach bridges the gap between clinical diagnostics and preventive health, laying the foundation for actionable augmented foot interfaces.


Verlagsausgabe §
DOI: 10.5445/IR/1000198863
Veröffentlicht am 05.11.2026
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Wirtschaftsinformatik (WIN)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 30.08.2026
Sprache Englisch
Identifikator ISBN: 9798400726118
KITopen-ID: 1000198863
Erschienen in MuC '26 : Proceedings of Mensch und Computer 2026
Veranstaltung Mensch und Computer (MuC 2026), Duisburg, Deutschland, 30.08.2026 – 02.09.2026
Verlag Association for Computing Machinery (ACM)
Seiten 633 - 637
Serie Proceedings
Vorab online veröffentlicht am 29.08.2026
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