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Gepubliceerd in: Psychological Research 3/2021

21-03-2020 | Original Article

Human vs. machine: the psychological and behavioral consequences of being compared to an outperforming artificial agent

Auteurs: Nicolas Spatola, Alice Normand

Gepubliceerd in: Psychological Research | Uitgave 3/2021

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Abstract

While artificial agents (AA) such as Artificial Intelligence are being extensively developed, a popular belief that AA will someday surpass human intelligence is growing. The present research examined whether this common belief translates into negative psychological and behavioral consequences when individuals assess that an AA performs better than them on cognitive and intellectual tasks. In two studies, participants were led to believe that an AA performed better or less well than them on a cognitive inhibition task (Study 1) and on an intelligence task (Study 2). Results indicated that being outperformed by an AA increased subsequent participants’ performance as long as they did not experience psychological discomfort towards the AA and self-threat. Psychological implications in terms of motivation and potential threat as well as the prerequisite for the future interactions of humans with AAs are further discussed.
Bijlagen
Alleen toegankelijk voor geautoriseerde gebruikers
Voetnoten
1
Alphas less than 0.7 are considered as non-reliable (Cronbach, 1951; James Dean Brown, 2002).
 
2
Data are available at https://​osf.​io/​f9z6r/​.
 
3
For second session analyses similar to Normand & Croizet (2013), see Supplementary Material.
 
4
However we controlled that participants’ performance on the Raven matrices did not differ in Session 1, F(2, 73) = 429., p = .653, ηp2 = .012.
 
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Metagegevens
Titel
Human vs. machine: the psychological and behavioral consequences of being compared to an outperforming artificial agent
Auteurs
Nicolas Spatola
Alice Normand
Publicatiedatum
21-03-2020
Uitgeverij
Springer Berlin Heidelberg
Gepubliceerd in
Psychological Research / Uitgave 3/2021
Print ISSN: 0340-0727
Elektronisch ISSN: 1430-2772
DOI
https://doi.org/10.1007/s00426-020-01317-0

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