Literature DB >> 33850211

Humans rely more on algorithms than social influence as a task becomes more difficult.

Eric Bogert1, Aaron Schecter2, Richard T Watson2.   

Abstract

Algorithms have begun to encroach on tasks traditionally reserved for human judgment and are increasingly capable of performing well in novel, difficult tasks. At the same time, social influence, through social media, online reviews, or personal networks, is one of the most potent forces affecting individual decision-making. In three preregistered online experiments, we found that people rely more on algorithmic advice relative to social influence as tasks become more difficult. All three experiments focused on an intellective task with a correct answer and found that subjects relied more on algorithmic advice as difficulty increased. This effect persisted even after controlling for the quality of the advice, the numeracy and accuracy of the subjects, and whether subjects were exposed to only one source of advice, or both sources. Subjects also tended to more strongly disregard inaccurate advice labeled as algorithmic compared to equally inaccurate advice labeled as coming from a crowd of peers.

Entities:  

Year:  2021        PMID: 33850211     DOI: 10.1038/s41598-021-87480-9

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  4 in total

1.  Human-centred mechanism design with Democratic AI.

Authors:  Raphael Koster; Jan Balaguer; Andrea Tacchetti; Ari Weinstein; Tina Zhu; Oliver Hauser; Duncan Williams; Lucy Campbell-Gillingham; Phoebe Thacker; Matthew Botvinick; Christopher Summerfield
Journal:  Nat Hum Behav       Date:  2022-07-04

2.  The Answer Bot Effect (ABE): A powerful new form of influence made possible by intelligent personal assistants and search engines.

Authors:  Robert Epstein; Vivian Lee; Roger Mohr; Vanessa R Zankich
Journal:  PLoS One       Date:  2022-06-01       Impact factor: 3.752

3.  Adoption of AI-Enabled Tools in Social Development Organizations in India: An Extension of UTAUT Model.

Authors:  Ruchika Jain; Naval Garg; Shikha N Khera
Journal:  Front Psychol       Date:  2022-06-20

4.  Human preferences toward algorithmic advice in a word association task.

Authors:  Eric Bogert; Nina Lauharatanahirun; Aaron Schecter
Journal:  Sci Rep       Date:  2022-08-25       Impact factor: 4.996

  4 in total

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