TY - GEN
T1 - "dump it, Destroy it, Send it to Data Heaven"
T2 - 20th International Web for All Conference, W4A 2023
AU - Stangl, Abigale
AU - Sadjo, Emma
AU - Emami-Naeini, Pardis
AU - Wang, Yang
AU - Gurari, Danna
AU - Findlater, Leah
N1 - Publisher Copyright:
© 2023 Owner/Author.
PY - 2023/4/30
Y1 - 2023/4/30
N2 - Visual assistance technologies provide people who are blind with access to information about their visual surroundings by digitally connecting them to remote humans or artificial intelligence systems that describe visual content such as objects, people, scenes, and text observed in their live image/video feeds. Prior work has revealed that users have concerns about how such technologies handle private visual content captured in their image/video feeds. Yet, it remains unclear how users want technologies to manage such private content. To fill this gap, we interviewed 16 totally blind individuals to learn about their expectations for visual privacy when using visual assistance technologies. Our findings reveal three overarching user-centered expectations associated with visual privacy-preservation in this domain, as well as the broader ethical challenges involved with developing AI-based privacy-preserving visual assistance technologies.
AB - Visual assistance technologies provide people who are blind with access to information about their visual surroundings by digitally connecting them to remote humans or artificial intelligence systems that describe visual content such as objects, people, scenes, and text observed in their live image/video feeds. Prior work has revealed that users have concerns about how such technologies handle private visual content captured in their image/video feeds. Yet, it remains unclear how users want technologies to manage such private content. To fill this gap, we interviewed 16 totally blind individuals to learn about their expectations for visual privacy when using visual assistance technologies. Our findings reveal three overarching user-centered expectations associated with visual privacy-preservation in this domain, as well as the broader ethical challenges involved with developing AI-based privacy-preserving visual assistance technologies.
UR - http://www.scopus.com/inward/record.url?scp=85158073570&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85158073570&partnerID=8YFLogxK
U2 - 10.1145/3587281.3587296
DO - 10.1145/3587281.3587296
M3 - Conference contribution
AN - SCOPUS:85158073570
T3 - ACM International Conference Proceeding Series
SP - 134
EP - 147
BT - 20th International Web for All Conference, W4A 2023
PB - Association for Computing Machinery
Y2 - 30 April 2023 through 1 May 2023
ER -