Data, Data, Everywhere: Uncovering Everyday Data Experiences for People with Intellectual and Developmental Disabilities
Data, Data, Everywhere: Uncovering Everyday Data Experiences for People with Intellectual and Developmental Disabilities
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数据,数据,无处不在:为智力和发育障碍人士揭示日常数据体验
DOI:
10.1145/3544548.3581204
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发表时间:
2023
期刊:
影响因子:
--
通讯作者:
Szafir, Danielle Albers
中科院分区:
文献类型:
--
作者:
Wu, Keke;Tran, Michelle Ho;Petersen, Emma;Koushik, Varsha;Szafir, Danielle Albers
Data is everywhere but may not be accessible to everyone. Conventional data visualization tools and guidelines often do not actively consider the specific needs and abilities of people with Intellectual and Developmental Disabilities (IDD), leaving them excluded from data-driven activities and vulnerable to ethical issues. To understand the needs and challenges people with IDD have with data, we conducted 15 semi-structured interviews with individuals with IDD and their caregivers. Our algorithmic interview approach situated data in the lived experiences of people with IDD to uncover otherwise hidden data encounters in their everyday life. Drawing on findings and observations, we characterize how they conceptualize data, when and where they use data, and what barriers exist when they interact with data. We use our results as a lens to reimagine the role of visualization in data accessibility and establish a critical near-term research agenda for cognitively accessible visualization.
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影响因子:
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