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pro vyhledávání: '"Almaatouq, Abdullah"'
Inspired by the increasing use of AI to augment humans, researchers have studied human-AI systems involving different tasks, systems, and populations. Despite such a large body of work, we lack a broad conceptual understanding of when combinations of
Externí odkaz:
http://arxiv.org/abs/2405.06087
Autor:
Campero, Andres, Vaccaro, Michelle, Song, Jaeyoon, Wen, Haoran, Almaatouq, Abdullah, Malone, Thomas W.
The Turing test for comparing computer performance to that of humans is well known, but, surprisingly, there is no widely used test for comparing how much better human-computer systems perform relative to humans alone, computers alone, or other basel
Externí odkaz:
http://arxiv.org/abs/2206.12390
Despite AI's superhuman performance in a variety of domains, humans are often unwilling to adopt AI systems. The lack of interpretability inherent in many modern AI techniques is believed to be hurting their adoption, as users may not trust systems w
Externí odkaz:
http://arxiv.org/abs/2111.08222
Thesis: Ph. D. in Computational Science and Engineering, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 135-152
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 135-152
Externí odkaz:
https://hdl.handle.net/1721.1/123223
Research on belief formation has produced contradictory findings on whether and when communication between group members will improve the accuracy of numeric estimates such as economic forecasts, medical diagnoses, and job candidate assessments. Whil
Externí odkaz:
http://arxiv.org/abs/2009.07202
Whether, and under what conditions, groups exhibit "crowd wisdom" has been a major focus of research across the social and computational sciences. Much of this work has focused on the role of social influence in promoting the wisdom of the crowd vers
Externí odkaz:
http://arxiv.org/abs/2006.12471
Autor:
Almaatouq, Abdullah, Becker, Joshua, Houghton, James P., Paton, Nicolas, Watts, Duncan J., Whiting, Mark E.
Virtual labs allow researchers to design high-throughput and macro-level experiments that are not feasible in traditional in-person physical lab settings. Despite the increasing popularity of online research, researchers still face many technical and
Externí odkaz:
http://arxiv.org/abs/2006.11398
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2021 Sep 01. 118(36), 1-9.
Externí odkaz:
https://www.jstor.org/stable/27075410
Akademický článek
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Autor:
Almaatouq, Abdullah
Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 99-109).
Thesis: S.M..
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 99-109).
Thesis: S.M..
Externí odkaz:
http://hdl.handle.net/1721.1/104577