Zobrazeno 1 - 10
of 562
pro vyhledávání: '"Burnett, Margaret"'
Autor:
Koujalgi, Sujay, Anderson, Andrew, Adenuga, Iyadunni, Soneji, Shikha, Dikkala, Rupika, Nader, Teresita Guzman, Soccio, Leo, Panda, Sourav, Das, Rupak Kumar, Burnett, Margaret, Dodge, Jonathan
Assessing an AI system's behavior-particularly in Explainable AI Systems-is sometimes done empirically, by measuring people's abilities to predict the agent's next move-but how to perform such measurements? In empirical studies with humans, an obviou
Externí odkaz:
http://arxiv.org/abs/2409.00069
Autor:
Hamid, Md Montaser, Moussaoui, Fatima, Guevara, Jimena Noa, Anderson, Andrew, Burnett, Margaret
Explainable Artificial Intelligence (XAI) systems aim to improve users' understanding of AI but rarely consider the inclusivity aspects of XAI. Without inclusive approaches, improving explanations might not work well for everyone. This study investig
Externí odkaz:
http://arxiv.org/abs/2404.13217
Autor:
Agarwal, Puja, Prem, Divya, Bogart, Christopher, Fallatah, Abrar, Castro-Guzman, Aileen Abril, Chanpaisaeng, Pannapat, Doehring, Stella, Burnett, Margaret, Sarma, Anita
Emerging research shows that individual differences in how people use technology sometimes cluster by socioeconomic status (SES) and that when technology is not socioeconomically inclusive, low-SES individuals may abandon it. To understand how to imp
Externí odkaz:
http://arxiv.org/abs/2304.04873
Autor:
Letaw, Lara, Garcia, Rosalinda, Morreale, Patricia, Verdi, Gail, Garcia, Heather, Noa, Geraldine Jimena, Madsen, Spencer P., Alzugaray-Orellana, Maria Jesus, Burnett, Margaret
How can an entire CS faculty, who together have been teaching the ACM standard CS curricula, shift to teaching elements of inclusive design across a 4-year undergraduate CS program? And will they even want to try? To investigate these questions, we d
Externí odkaz:
http://arxiv.org/abs/2209.02748
Autor:
Guizani, Mariam, Steinmacher, Igor, Emard, Jillian, Fallatah, Abrar, Burnett, Margaret, Sarma, Anita
Although some previous research has found ways to find inclusivity bugs (biases in software that introduce inequities), little attention has been paid to how to go about fixing such bugs. Without a process to move from finding to fixing, acting upon
Externí odkaz:
http://arxiv.org/abs/2202.13303
HCI researchers' and practitioners' awareness of intersectionality has been expanding, producing knowledge, recommendations, and prototypes for supporting intersectional populations. However, doing intersectional HCI work is uniquely expensive: it le
Externí odkaz:
http://arxiv.org/abs/2201.10643
Autor:
Hu, Catherine, Perdriau, Christopher, Mendez, Christopher, Gao, Caroline, Fallatah, Abrar, Burnett, Margaret
Although inequities and biases relating to people in low socioeconomic situations are starting to capture widespread attention in the popular press, little attention has been given to how such inequities and biases might pervade technology user exper
Externí odkaz:
http://arxiv.org/abs/2108.13477
Autor:
Anderson, Andrew, Guevara, Jimena Noa, Moussaoui, Fatima, Li, Tianyi, Vorvoreanu, Mihaela, Burnett, Margaret
Motivations: Recent research has emerged on generally how to improve AI product user experiences, but relatively little is known about an AI product's inclusivity. For example, what kinds of users does it support well, and who does it leave out? And
Externí odkaz:
http://arxiv.org/abs/2108.00588
Autor:
Hilderbrand, Claudia, Perdriau, Christopher, Letaw, Lara, Emard, Jillian, Steine-Hanson, Zoe, Burnett, Margaret, Sarma, Anita
Although the need for gender-inclusivity in software itself is gaining attention among both SE researchers and SE practitioners, and methods have been published to help, little has been reported on how to make such methods work in real-world settings
Externí odkaz:
http://arxiv.org/abs/1905.10361
Autor:
Steine-Hanson, Zoe, Hilderbrand, Claudia, Letaw, Lara, Emard, Jillian, Perdriau, Christopher, Mendez, Christopher, Burnett, Margaret, Sarma, Anita
Most software systems today do not support cognitive diversity. Further, because of differences in problem-solving styles that cluster by gender, software that poorly supports cognitive diversity can also embed gender biases. To help software profess
Externí odkaz:
http://arxiv.org/abs/1905.02813