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title = {Interdependence as a {{Frame}} for {{Assistive Technology Research}} and {{Design}}},
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booktitle = {Proceedings of the 20th {{International ACM SIGACCESS Conference}} on {{Computers}} and {{Accessibility}}},
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author = {Bennett, Cynthia L. and Brady, Erin and Branham, Stacy M. and Yam, Yu Jun},
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year = {2018},
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month = oct,
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pages = {161--173},
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publisher = {ACM},
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address = {Galway Ireland},
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doi = {10.1145/3234695.3236348},
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urldate = {2024-06-22},
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isbn = {978-1-4503-5650-3},
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langid = {english},
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file = {C:\Users\jseo1005\Zotero\storage\35MUWGL3\Bennett et al. - 2018 - Interdependence as a Frame for Assistive Technology Research and Design.pdf}
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}
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@inproceedings{caineLocalStandardsSample2016,
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title = {Local {{Standards}} for {{Sample Size}} at {{CHI}}},
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booktitle = {Proceedings of the 2016 {{CHI Conference}} on {{Human Factors}} in {{Computing Systems}}},
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author = {Caine, Kelly},
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year = {2016},
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month = may,
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pages = {981--992},
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publisher = {ACM},
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address = {San Jose California USA},
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doi = {10.1145/2858036.2858498},
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urldate = {2024-04-17},
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isbn = {978-1-4503-3362-7},
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langid = {english},
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file = {C:\Users\jseo1005\Zotero\storage\ZGNWYC8W\Caine - 2016 - Local Standards for Sample Size at CHI.pdf}
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}
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@article{faulknerFiveuserAssumptionBenefits2003,
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title = {Beyond the Five-User Assumption: {{Benefits}} of Increased Sample Sizes in Usability Testing},
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shorttitle = {Beyond the Five-User Assumption},
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author = {Faulkner, Laura},
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year = {2003},
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month = aug,
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journal = {Behavior Research Methods, Instruments, \& Computers},
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volume = {35},
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number = {3},
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pages = {379--383},
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issn = {1532-5970},
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doi = {10.3758/BF03195514},
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urldate = {2024-04-17},
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abstract = {It is widely assumed that 5 participants suffice for usability testing. In this study, 60 users were tested and random sets of 5 or more were sampled from the whole, to demonstrate the risks of using only 5 participants and the benefits of using more. Some of the randomly selected sets of 5 participants found 99\% of the problems; other sets found only 55\%. With 10 users, the lowest percentage of problems revealed by any one set was increased to 80\%, and with 20 users, to 95\%.},
title = {Thematic {{Analysis}}: {{Striving}} to {{Meet}} the {{Trustworthiness Criteria}}},
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shorttitle = {Thematic {{Analysis}}},
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author = {Nowell, Lorelli S. and Norris, Jill M. and White, Deborah E. and Moules, Nancy J.},
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year = {2017},
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month = dec,
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journal = {International Journal of Qualitative Methods},
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volume = {16},
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number = {1},
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pages = {1609406917733847},
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publisher = {SAGE Publications Inc},
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issn = {1609-4069},
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doi = {10.1177/1609406917733847},
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urldate = {2025-02-28},
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abstract = {As qualitative research becomes increasingly recognized and valued, it is imperative that it is conducted in a rigorous and methodical manner to yield meaningful and useful results. To be accepted as trustworthy, qualitative researchers must demonstrate that data analysis has been conducted in a precise, consistent, and exhaustive manner through recording, systematizing, and disclosing the methods of analysis with enough detail to enable the reader to determine whether the process is credible. Although there are numerous examples of how to conduct qualitative research, few sophisticated tools are available to researchers for conducting a rigorous and relevant thematic analysis. The purpose of this article is to guide researchers using thematic analysis as a research method. We offer personal insights and practical examples, while exploring issues of rigor and trustworthiness. The process of conducting a thematic analysis is illustrated through the presentation of an auditable decision trail, guiding interpreting and representing textual data. We detail our step-by-step approach to exploring the effectiveness of strategic clinical networks in Alberta, Canada, in our mixed methods case study. This article contributes a purposeful approach to thematic analysis in order to systematize and increase the traceability and verification of the analysis.},
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langid = {english},
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file = {C:\Users\jseo1005\Zotero\storage\QR443JIQ\Nowell et al. - 2017 - Thematic Analysis Striving to Meet the Trustworthiness Criteria.pdf}
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}
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@misc{pillaiAccessibleUsabilityScale,
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title = {Accessible {{Usability Scale}} ({{AUS}})},
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author = {Pillai, Alwar},
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journal = {Fable},
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urldate = {2024-04-17},
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abstract = {The Accessible Usability Scale (AUS) is a free tool to measure the usability of a digital product for assistive technology users.},
title = {Should {{I Say}} ``{{Disabled People}}'' or ``{{People}} with {{Disabilities}}''? {{Language Preferences}} of {{Disabled People Between Identity-}} and {{Person-First Language}}},
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shorttitle = {Should {{I Say}} ``{{Disabled People}}'' or ``{{People}} with {{Disabilities}}''?},
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booktitle = {Proceedings of the 24th {{International ACM SIGACCESS Conference}} on {{Computers}} and {{Accessibility}}},
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author = {Sharif, Ather and McCall, Aedan Liam and Bolante, Kianna Roces},
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year = {2022},
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month = oct,
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series = {{{ASSETS}} '22},
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pages = {1--18},
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publisher = {Association for Computing Machinery},
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address = {New York, NY, USA},
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doi = {10.1145/3517428.3544813},
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urldate = {2024-06-23},
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abstract = {The usage of identity- (e.g., ``disabled people'') versus person-first language (e.g., ``people with disabilities'') to refer to disabled people has been an active and ongoing discussion. However, it remains unclear which semantic language should be used, especially for different disability categories within the overall demographics of disabled people. To gather and examine the language preferences of disabled people, we surveyed 519 disabled people from 23 countries. Our results show that 49\% of disabled people preferred identity-first language whereas 33\% preferred person-first language and 18\% had no preference. Additionally, we explore the intra-sectionality and intersectionality of disability categories, gender identifications, age groups, and countries on language preferences, finding that language preferences vary within and across each of these factors. Our qualitative assessment of the survey responses shows that disabled people may have multiple or no preferences. To make our survey data publicly available, we created an interactive and accessible live web platform, enabling users to perform intersectional exploration of language preferences. In a secondary investigation, using part-of-speech (POS) tagging, we analyzed the abstracts of 11,536 publications at ACM ASSETS (N=1,564) and ACM CHI (N=9,972), assessing their adoption of identity- and person-first language. We present the results from our analysis and offer recommendations for authors and researchers in choosing the appropriate language to refer to disabled people.},
title = {Nothing {{About Us Without Us}}: {{Investigating}} the {{Role}} of {{Critical Disability Studies}} in {{HCI}}},
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shorttitle = {Nothing {{About Us Without Us}}},
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booktitle = {Extended {{Abstracts}} of the 2020 {{CHI Conference}} on {{Human Factors}} in {{Computing Systems}}},
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author = {Spiel, Katta and Gerling, Kathrin and Bennett, Cynthia L. and Brul{\'e}, Emeline and Williams, Rua M. and Rode, Jennifer and Mankoff, Jennifer},
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year = {2020},
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month = apr,
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pages = {1--8},
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publisher = {ACM},
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address = {Honolulu HI USA},
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doi = {10.1145/3334480.3375150},
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urldate = {2024-06-23},
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isbn = {978-1-4503-6819-3},
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langid = {english}
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}
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@misc{viraniBuildingAccessibleUsability2020,
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title = {Building the {{Accessible Usability Scale}} - {{A Walkthrough}}},
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author = {Virani, Abid},
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year = {2020},
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month = dec,
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journal = {Fable},
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urldate = {2024-04-17},
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abstract = {The Accessible Usability Scale is built as a calculator on the Fable website, and available for you to use for free.},
title = {"{{Sighted People Have Their Pick Of The Litter}}": {{Unpacking The Need For Digital Mental Health}} ({{DMH}}) {{Tracking Services With And For The Blind Community}}},
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shorttitle = {"{{Sighted People Have Their Pick Of The Litter}}"},
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