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Sharing Practices for Datasets Related to Accessibility and Aging.

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Summary

Accessibility datasets are crucial for inclusive AI but are scarce. This review of 137 datasets reveals how researchers balance data benefits and risks, highlighting needs for better privacy frameworks.

Keywords:
AccessibilityHuman-centered computing → Human computer interaction (HCI)Security and privacy → Human and societal aspects of security and privacydatasetdisabilitymachine learningrepositorysharing practices

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Area of Science:

  • Computer Science
  • Human-Computer Interaction
  • Disability Studies

Background:

  • Datasets from people with disabilities and older adults are vital for AI innovation, benchmarking, and bias mitigation.
  • A significant scarcity of such accessibility datasets hinders the development of inclusive and assistive AI applications.

Purpose of the Study:

  • To systematically review existing accessibility datasets across disciplines over the past 35 years.
  • To analyze patterns in data collection, sharing practices, and researcher considerations of benefits and risks.

Main Methods:

  • Conducted a systematic review of 137 accessibility datasets.
  • Manually located datasets across diverse academic disciplines.
  • Analyzed data based on purpose, terminology, sample size, data types, and sharing practices.

Main Results:

  • Identified patterns in how researchers manage the benefits and risks associated with data collection and sharing.
  • Uncovered variations in data collection purpose, terminology, sample size, data types, and sharing practices among different communities.
  • Highlighted the scarcity of datasets crucial for developing assistive and inclusive AI.

Conclusions:

  • Emphasized the critical need for improved technical, legal, and institutional privacy frameworks.
  • Called for frameworks that are more sensitive to the specific concerns of individuals with disabilities and older adults.
  • Stressed the importance of addressing challenges and opportunities in locating and sharing accessibility datasets.