Evidence map›Paper›PMID 37433842›Full record

ArticleScientific reports2023

Virtual agents and risk-taking behavior in adolescence: the twofold nature of nudging.

Cinzia Di Dio, Federico Manzi, Laura Miraglia, Michaela Gummerum, Simone Bigozzi, Davide Massaro, Antonella Marchetti

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Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Cinzia Di DioResearch Unit On Theory of Mind, Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy. cinzia.didio@unicatt.it.
Federico Manzi *Research Unit On Theory of Mind, Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy.
Laura Miraglia *Research Unit On Theory of Mind, Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy.
Michaela GummerumDepartment of Psychology, University of Warwick, Coventry, UK.
Simone BigozziQuestIT s.r.l., Siena, Italy.
Davide MassaroResearch Unit On Theory of Mind, Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy.
Antonella MarchettiResearch Unit On Theory of Mind, Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peer pressure can influence risk-taking behavior and it is particularly felt during adolescence. With artificial intelligence (AI) increasingly present in a range of everyday human contexts, including virtual environments, it is important to examine whether AI can have an impact on human's decision making processes and behavior. By using the balloon analogue risk task (BART) evaluating propensity to take risk, in this study 113 adolescents' risk-taking behavior was measured when playing alone and in the presence of either a robot avatar or human avatar. In the avatar conditions, participants performed the BART while the avatars either (1) verbally incited risk-taking or (2) discouraged risk-taking (experimental tasks). Risk-taking behavior in the BART was assessed in terms of total number of pumps, gain and explosions. Tendency to impulsivity was also evaluated, as well as the effects of age and gender on risky behavior. The main finding showed a significant effect of both avatars on risk-taking tendency, with riskier behavior during incitement than discouragement conditions, the latter being also substantially different from the playing-alone condition. The results of this study open up new questions in a very sensitive and timely topic and offer various insights into the effect of nudging on adolescents' behavior in virtual contexts.

Indexed as

Adolescent BehaviorArtificial IntelligenceAdolescentAircraftEmotionsHumansRisk-Taking

Identifiers

PMID37433842
PMCPMC10336118

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.