Blind Users Accessing Their Training Images in Teachable Object Recognizers

Hong, Jonggi; Gandhi, Jaina; Mensah, Ernest Essuah; Zeraati, Farnaz Zamiri; Jarjue, Ebrima; Lee, Kyungjun; Kacorri, Hernisa

doi:10.1145/3517428.3544824

Cited by 9 publications

(1 citation statement)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…More so, the interactive nature of teachable applications could help users uncover basic machine learning concepts and gain familiarity with AI ( e.g ., [ 34 , 39 , 59 , 61 , 108 ]). We see similar evidence for studies with blind participants [ 60 , 72 ] where participants reflect on the value of diversity in training data. Thus, the data capturing tasks in this study seemed a great fit providing a realistic data contribution scenario while exposing participants to the value of AI data for training and testing.…”

Section: Methodssupporting

confidence: 70%

Contributing to Accessibility Datasets: Reflections on Sharing Study Data by Blind People

Kamikubo

Lee

Kacorri

2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Self Cite

View full text Add to dashboard Cite

To ensure that AI-infused systems work for disabled people, we need to bring accessibility datasets sourced from this community in the development lifecycle. However, there are many ethical and privacy concerns limiting greater data inclusion, making such datasets not readily available. We present a pair of studies where 13 blind participants engage in data capturing activities and reflect with and without probing on various factors that influence their decision to share their data via an AI dataset. We see how different factors influence blind participants' willingness to share study data as they assess risk-benefit tradeoffs. The majority support sharing of their data to improve technology but also express concerns over commercial use, associated metadata, and the lack of transparency about the impact of their data. These insights have implications for the development of responsible practices for stewarding accessibility datasets, and can contribute to broader discussions in this area. CCS CONCEPTS• Human-centered computing → Human computer interaction (HCI); Accessibility; • Social and professional topics → People with disabilities; • Security and privacy → Human and societal aspects of security and privacy.

show abstract