Design implications for pediatric CGA are offered, including designing sensing and calibration for smaller and changing bodies, including designing sensing and calibration for smaller and changing bodies.
Abstract
Computerized gait analysis (CGA) is a diagnostic tool for various disorders in children, enabling objective assessment of movement for clinical interventions. Existing work on pediatric CGA has focused on technical/clinical performance, leaving less understood about how clinicians interact with these systems in practice. We interviewed 12 pediatric clinicians and one system designer experienced with CGA. Participants described mismatches between CGA and pediatric care, including children's sensory sensitivities to wearables, difficulties placing sensors on child-sized bodies, and challenges with engagement during data collection. These mismatches required clinicians to adapt procedures to children's bodies, behaviors, and needs. Clinicians highlighted opportunities to extend CGA into environments such as playgrounds, where children's movement could be assessed in contexts relevant to their development. Based on these insights, we offer design implications for pediatric CGA, including designing sensing and calibration for smaller and changing bodies. Our study informs clinical technologies that account for pediatric needs.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
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The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
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The perception of the impact of agile methods is predominantly positive, and several challenge areas were discovered, but based on this study, agile methods are here to stay.
M. Laanti, O. Salo, P. Abrahamsson· Information and Software Tec...· 260 citations· ⚡20
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
MIT News · Artificial Intelligence· news.mit.eduOct 23, 2026
During the School of Humanities, Arts, and Social Sciences’ 75th Anniversary Symposium, President Sally Kornbluth said “MIT has never needed your particular insight and guidance more than we do now.”
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