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of 18
pro vyhledávání: '"Jason I. Hong"'
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 6:1-37
Algorithmic systems help manage the governance of digital platforms featuring user-generated content, including how money is distributed to creators from the profits a platform earns from advertising on this content. However, creators producing conte
Autor:
Tianshi Li, Julia Katherine Haines, Miguel Flores Ruiz De Eguino, Jason I. Hong, Jeffrey Nichols
Publikováno v:
ACM Transactions on Computer-Human Interaction. 29:1-33
Notifications are an indispensable feature of mobile devices, but their delivery can interrupt and distract users. Prior work has examined interventions, such as deferring notification delivery to opportune moments, but has not systematically studied
Publikováno v:
Journal of Social and Personal Relationships. 40:1579-1600
Main effect models contend that perceived social support benefits mental health in the presence and the absence of stressful events, whereas stress-buffering models contend that perceived social support benefits mental health especially when individu
Publikováno v:
Proceedings on Privacy Enhancing Technologies. 2022:33-56
Mobile apps enable ad networks to collect and track users. App developers are given “configurations” on these platforms to limit data collection and adhere to privacy regulations; however, the prevalence of apps that violate privacy regulations b
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 6:1-27
Account sharing is a common, if officially unsanctioned, practice among workgroups, but so far understudied in higher education. We interview 23 workgroup members about their account sharing practices at a U.S. university. Our study is the first to e
Publikováno v:
Foundations and Trends® in Privacy and Security. 5:1-143
People work with AI systems to improve their decision making, but often under- or over-rely on AI predictions and perform worse than they would have unassisted. To help people appropriately rely on AI aids, we propose showing them behavior descriptio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ae044ea744a97347de58a4afb288432
http://arxiv.org/abs/2301.06937
http://arxiv.org/abs/2301.06937
Autor:
Ángel Alexander Cabrera, Erica Fu, Donald Bertucci, Kenneth Holstein, Ameet Talwalkar, Jason I. Hong, Adam Perer
Machine learning models with high accuracy on test data can still produce systematic failures, such as harmful biases and safety issues, when deployed in the real world. To detect and mitigate such failures, practitioners run behavioral evaluation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::476c61f5b44634d365ff4245adeff4db
Publikováno v:
2022 IEEE Symposium on Security and Privacy (SP).
Autor:
Haojian Jin, Boyuan Guo, Rituparna Roychoudhury, Yaxing Yao, Swarun Kumar, Yuvraj Agarwal, Jason I. Hong
Publikováno v:
CHI Conference on Human Factors in Computing Systems.