Zobrazeno 1 - 10
of 787
pro vyhledávání: '"Lee Min Kyung"'
Autor:
Hsieh, Jane, Zhang, Angie, Kim, Seyun, Rao, Varun Nagaraj, Dalal, Samantha, Mateescu, Alexandra, Grohmann, Rafael Do Nascimento, Eslami, Motahhare, Lee, Min Kyung, Zhu, Haiyi
Platform-based laborers face unprecedented challenges and working conditions that result from algorithmic opacity, insufficient data transparency, and unclear policies and regulations. The CSCW and HCI communities increasingly turn to worker data col
Externí odkaz:
http://arxiv.org/abs/2409.00737
Creators are nothing without their audience, and thereby understanding their audience is the cornerstone of their professional achievement. Yet many creators feel lost while comprehending audiences with existing tools, which offer insufficient insigh
Externí odkaz:
http://arxiv.org/abs/2408.10937
Publikováno v:
Designing Interactive Systems Conference, 2024, (DIS '24)
Increasing evidence suggests that many deployed AI systems do not sufficiently support end-user interaction and information needs. Engaging end-users in the design of these systems can reveal user needs and expectations, yet effective ways of engagin
Externí odkaz:
http://arxiv.org/abs/2405.16711
Autor:
Liu, Houjiang, Das, Anubrata, Boltz, Alexander, Zhou, Didi, Pinaroc, Daisy, Lease, Matthew, Lee, Min Kyung
While many Natural Language Processing (NLP) techniques have been proposed for fact-checking, both academic research and fact-checking organizations report limited adoption of such NLP work due to poor alignment with fact-checker practices, values, a
Externí odkaz:
http://arxiv.org/abs/2308.07213
AI technologies continue to advance from digital assistants to assisted decision-making. However, designing AI remains a challenge given its unknown outcomes and uses. One way to expand AI design is by centering stakeholders in the design process. We
Externí odkaz:
http://arxiv.org/abs/2303.03367
Research exploring how to support decision-making has often used machine learning to automate or assist human decisions. We take an alternative approach for improving decision-making, using machine learning to help stakeholders surface ways to improv
Externí odkaz:
http://arxiv.org/abs/2302.11623
Autor:
Gao, Ruijiang, Saar-Tsechansky, Maytal, De-Arteaga, Maria, Han, Ligong, Sun, Wei, Lee, Min Kyung, Lease, Matthew
Human-AI complementarity is important when neither the algorithm nor the human yields dominant performance across all instances in a given context. Recent work that explored human-AI collaboration has considered decisions that correspond to classific
Externí odkaz:
http://arxiv.org/abs/2302.02944
Long-term fairness is an important factor of consideration in designing and deploying learning-based decision systems in high-stake decision-making contexts. Recent work has proposed the use of Markov Decision Processes (MDPs) to formulate decision-m
Externí odkaz:
http://arxiv.org/abs/2210.12546
Publikováno v:
Proceedings of the ACM: Human-Computer Interaction. Issue CSCW (CSCW 2022)
Hyper-partisan misinformation has become a major public concern. In order to examine what type of misinformation label can mitigate hyper-partisan misinformation sharing on social media, we conducted a 4 (label type: algorithm, community, third-party
Externí odkaz:
http://arxiv.org/abs/2203.00710
Publikováno v:
In Journal of Energy Storage 10 September 2024 97 Part B
