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Designing Data to be Inclusive: Enabling Cross-Disciplinary and Participative Processes

机译:设计包容性数据:支持跨学科和参与性流程

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摘要

The data formats of specialist disciplines are often difficult for those from other disciplines to access, not least lay audiences, inhibiting truly participative and inclusive processes. The authors discuss the achievements and value of visualizing biomechanical data on functional demand obtained during daily activities from older adults in the 60+, 70+ and 80+ age groups which has shown the potential to provide physiotherapists, occupational therapists, designers, bioengineers, and human factors specialists much improved access to the data. Older adults have their own valuable insights and these are vital to include in developing a fuller understanding of issues that affect their quality of life. The format of visualization has the potential to be understood by this 'lay' audience. The paper discusses the design of, and pilots towards a full-scale study to try to fully engage stakeholder disciplines and older people as truly collaborative partners, together with conclusions to date.
机译:专业学科的数据格式通常很难被其他学科的人员访问,尤其是非专业观众,从而阻碍了真正的参与性和包容性过程。作者讨论了在60岁以上,70岁以上和80岁以上年龄段的老年人日常活动中获得的有关功能需求的生物力学数据的可视化的成就和价值,这些研究表明了提供物理治疗师,职业治疗师,设计师,生物工程师和人为因素专家大大改善了对数据的访问。老年人有自己的宝贵见识,而这些见解对于加深对影响其生活质量的问题的全面了解至关重要。可视化的格式有可能被“外行”的听众理解。本文讨论了全面研究的设计和试点,以尝试充分利用利益相关者学科和老年人作为真正的合作伙伴,并提供迄今为止的结论。

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