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  Human aging alters social inference about others’ changing intentions

Reiter, A., Diaconescu, A. O., Eppinger, B., & Li, S.-C. (2021). Human aging alters social inference about others’ changing intentions. Neurobiology of Aging, 103, 98-108. doi:10.1016/j.neurobiolaging.2021.01.034.

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Genre: Journal Article

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 Creators:
Reiter, Andrea1, 2, 3, 4, Author              
Diaconescu, Andreea O.5, 6, 7, Author
Eppinger, Ben1, 8, 9, Author
Li, Shu-Chen1, 10, Author
Affiliations:
1Lifespan Developmental Neuroscience, Department of Biological Psychology, Faculty of Psychology, TU Dresden, Germany, ou_persistent22              
2Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
3Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, United Kingdom, ou_persistent22              
4Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University Hospital Würzburg, Germany, ou_persistent22              
5Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich, Switzerland, ou_persistent22              
6Department of Psychiatry, University of Basel, Switzerland, ou_persistent22              
7Krembil Brain Institute, University Health Network, University of Toronto, ON, Canada, ou_persistent22              
8Department of Psychology, Concordia University, Montréal, QC, Canada, ou_persistent22              
9PERFORM Center, Concordia University, Montréal, QC, Canada, ou_persistent22              
10Centre for Tactile Internet with Human-in-the-Loop (CeTI), TU Dresden, Germany, ou_persistent22              

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Free keywords: Theory of mind; Social cognition; Social learning; Aging; Lifespan development; Bayesian cognitive modeling
 Abstract: Decoding others’ intentions accurately in order to adapt one's own behavior is pivotal throughout life. In this study, we asked how younger and older adults deal with uncertainty in dynamic social environments. We used an advice-taking paradigm together with Bayesian modeling to characterize effects of aging on learning about others’ time-varying intentions. We observed age differences when comparing learning on two levels of social uncertainty: the fidelity of the adviser and the volatility of intentions. Older adults expected the adviser to change his/her intentions more frequently (i.e., a higher volatility of the adviser). They also showed higher confidence (i.e., precision) in their volatility beliefs and were less willing to change their beliefs about volatility over the course of the experiment. This led them to update their predictions about the fidelity of the adviser more quickly. Potentially indicative of stereotype effects, we observed that older advisers were perceived as more volatile, but also more faithful than younger advisers. This offers new insights into adult age differences in response to social uncertainty.

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Language(s): eng - English
 Dates: 2021
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.neurobiolaging.2021.01.034
Other: epub 2021
PMID: 33845400
 Degree: -

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Title: Neurobiology of Aging
  Other : Neurobiol. Aging
Source Genre: Journal
 Creator(s):
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Publ. Info: New York, NY [etc.] : Elsevier
Pages: - Volume / Issue: 103 Sequence Number: - Start / End Page: 98 - 108 Identifier: ISSN: 0197-4580
CoNE: https://pure.mpg.de/cone/journals/resource/954925491902