Human-centered design, disability, and accessible research experiences : a multiple method study, co-design framework, and model for inclusive instrument design
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[EMBARGOED UNTIL 05/01/2027] Research studies and information design lifecycles often include surveys, interviews, and user testing as part of the process-oriented approach to sharing research outcomes with the world. However, there is a lack of research regarding inclusive instrument design, which would help remove barriers experienced by people with and without a disability when taking surveys or participating in interviews or usability testing required for a research study. Using human-centered design, human-computer interaction, and disability studies perspectives, web-based instruments can become more inclusive and accessible. This sequentially phased 4-article dissertation presents lessons learned of inclusive instrument design as a solution-based framework that enables access to knowledge and helps create a positive research study experience for the broadest representation of humans possible. Everyone is impacted by a disability, impairment, or limitation at some point in their life, whether visible, invisible, permanent, temporary, or situational. Therefore, starting the design of instruments used in research studies with a human-centered and inclusive design mindset can increase the chances of creating more usable surveys and interview protocols. The research approach includes people with disabilities and disability advocates as part of the research process and uses multiple methods of co-design sessions, surveys, interviews, observation, document analysis, and automated and manual accessibility evaluation (including user and expert testing). This approach is a form of universal, participatory, and co-design, with researchers and stakeholders working together on various aspects of the research and design process. In addition to uncovering challenges and design flaws of web design, existing survey tools, or instrument question formats in an exploratory manner (Study 1), critical review of the literature (Study 2), and domain analysis and survey accessibility conformance evaluation (Study 3), this research will also identify user challenges with instruments and instrument preferences from surveys and interviews used in a co-design multiple methods study (Study 4). The themes, findings, and criticality counts across the four studies helped to inform my interpretation of the dissertation research, yielding eight conceptualizations which are used to address the research questions. This knowledge informed my model for inclusive instrument design practices, adding procedures, precedent, and new knowledge to the literature on disability and HCI research. This enriched understanding will assist researchers and designers in utilizing an inclusive instrument for conducting research studies that use online surveys and conduct interviews or test web-based products. Additionally, improving such web-based experiences for people with a disability, impairment, or chronic condition may lead to better experiences for everyone. Resulting recommendations include (1) an alternative to traditional medical-based demographic questions used in data collection for the ability status, (2) co-design as a research method, and (3) a model for inclusive instrument design. The inclusive instrument design recommendations can be adapted to future instrument designs, including procedures for multiple method survey accessibility evaluation and instrument design tenets by criticality. Ultimately, this qualitative study uses multiple methods to learn, create, test, and evaluate an inclusive instrument design model that enables a more inclusive research study experience for everyone.
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