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pro vyhledávání: '"Robert, Lionel P."'
Autor:
Dhillon, Paramveer S., Molaei, Somayeh, Li, Jiaqi, Golub, Maximilian, Zheng, Shaochun, Robert, Lionel P.
Advances in language modeling have paved the way for novel human-AI co-writing experiences. This paper explores how varying levels of scaffolding from large language models (LLMs) shape the co-writing process. Employing a within-subjects field experi
Externí odkaz:
http://arxiv.org/abs/2402.11723
Akademický článek
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Publikováno v:
In Transportation Research Part F: Psychology and Behaviour February 2024 101:320-331
Autor:
Esterwood, Connor, Robert, Lionel P.
Robots are becoming an important way to deliver health care, and personality is vital to understanding their effectiveness. Despite this, there is a lack of a systematic overarching understanding of personality in health care human robot interaction
Externí odkaz:
http://arxiv.org/abs/2008.06723
Autor:
Alahmad, Rasha, Robert, Lionel
In the age of Artificial Intelligence and automation, machines have taken over many key managerial tasks. Replacing managers with AI systems may have a negative impact on workers outcomes. It is unclear if workers receive the same benefits from their
Externí odkaz:
http://arxiv.org/abs/2005.12196
Organizations are rapidly deploying artificial intelligence (AI) systems to manage their workers. However, AI has been found at times to be unfair to workers. Unfairness toward workers has been associated with decreased worker effort and increased wo
Externí odkaz:
http://arxiv.org/abs/2002.09054
Autor:
Robert, Lionel P., Alahmad, Rasha, Esterwood, Connor, Kim, Sangmi, You, Sangseok, Zhang, Qiaoning
Personality has been identified as a vital factor in understanding the quality of human robot interactions. Despite this the research in this area remains fragmented and lacks a coherent framework. This makes it difficult to understand what we know a
Externí odkaz:
http://arxiv.org/abs/2001.11777
Autor:
Leung, Weiwen, Zhang, Zheng, Jibuti, Daviti, Zhao, Jinhao, Klein, Maximillian, Pierce, Casey, Robert, Lionel, Zhu, Haiyi
We conduct a study of hiring bias on a simulation platform where we ask Amazon MTurk participants to make hiring decisions for a mathematically intensive task. Our findings suggest hiring biases against Black workers and less attractive workers and p
Externí odkaz:
http://arxiv.org/abs/2001.09753