Algorithmic appreciation or aversion? The moderating effects of uncertainty on algorithmic decision making-Reference-Cited by-同舟云学术

Algorithmic appreciation or aversion? The moderating effects of uncertainty on algorithmic decision making

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
language:
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Author:

Schecter Aaron¹^ORCID,Bogert Eric²^ORCID,Lauharatanahirun Nina³^ORCID

Affiliation:

1. Department of Management Information Systems, University of Georgia, United States

2. Department of Supply Chain and Information Management, Northeastern University, United States

3. Department of Biomedical Engineering & Department of Biobehavioral Health, Penn State University, United States

Funder

Army Research Office

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3544549.3585908

Reference32 articles.

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2. Eric Bogert , Nina Lauharatanahirun , and Aaron Schecter . 2022. Human preferences toward algorithmic advice in a word association task. Scientific reports 12, 1 ( 2022 ), 1–9. Eric Bogert, Nina Lauharatanahirun, and Aaron Schecter. 2022. Human preferences toward algorithmic advice in a word association task. Scientific reports 12, 1 (2022), 1–9.

3. Eric Bogert , Aaron Schecter , and Richard T Watson . 2021. Humans rely more on algorithms than social influence as a task becomes more difficult. Scientific reports 11, 1 ( 2021 ), 1–9. Eric Bogert, Aaron Schecter, and Richard T Watson. 2021. Humans rely more on algorithms than social influence as a task becomes more difficult. Scientific reports 11, 1 (2021), 1–9.

4. Betrayal Aversion: Evidence from Brazil, China, Oman, Switzerland, Turkey, and the United States

5. Erik Brynjolfsson and Tom Mitchell . 2017. What can machine learning do? Workforce implications. Science 358, 6370 ( 2017 ), 1530–1534. Erik Brynjolfsson and Tom Mitchell. 2017. What can machine learning do? Workforce implications. Science 358, 6370 (2017), 1530–1534.

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