Award Abstract # 1749551
Detecting social transmission in the design of artifacts

NSF Org: BCS
Division Of Behavioral and Cognitive Sci
Recipient: UNIVERSITY OF CALIFORNIA, SAN DIEGO
Initial Amendment Date: August 3, 2018
Latest Amendment Date: August 3, 2018
Award Number: 1749551
Award Instrument: Standard Grant
Program Manager: Leher Singh
lsingh@nsf.gov
 (703)292-7257
BCS
 Division Of Behavioral and Cognitive Sci
SBE
 Direct For Social, Behav & Economic Scie
Start Date: August 1, 2018
End Date: July 31, 2022 (Estimated)
Total Intended Award Amount: $443,777.00
Total Awarded Amount to Date: $443,777.00
Funds Obligated to Date: FY 2018 = $443,777.00
History of Investigator:
  • Adena Schachner (Principal Investigator)
    schachner@ucsd.edu
  • Timothy Brady (Co-Principal Investigator)
Recipient Sponsored Research Office: University of California-San Diego
9500 GILMAN DR
LA JOLLA
CA  US  92093-0021
(858)534-4896
Sponsor Congressional District: 50
Primary Place of Performance: University of California, San Diego
9500 Gilman Drive,
La Jolla
CA  US  92093-0109
Primary Place of Performance
Congressional District:
50
Unique Entity Identifier (UEI): UYTTZT6G9DT1
Parent UEI:
NSF Program(s): DS -Developmental Sciences
Primary Program Source: 01001819DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 1698
Program Element Code(s): 169800
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.075

ABSTRACT

Children grow up surrounded by human-made objects (artifacts). These artifacts are useful not only as tools, but also as a constant source of social information -- conveying information about the traits and social identities of people who own them, choose them, or create them. The project will address how children and adults learn about other people based upon the objects those people design or create (a capacity known as "intuitive archeology"). The project will also address how this reasoning develops over childhood. Understanding the social world is one of the most important challenges of early cognitive development, as social cognition forms a foundation for everything from learning language to later academic success. Failure to understand one's social environment, as in the case of Autism Spectrum Disorder, leads to significant impairments in multiple domains of life. Researchers will examine how people use artifacts as a source of social information by identifying and explaining underlying reasoning processes. This work will enhance understanding of a novel aspect of social reasoning, which in turn, will facilitate designing future interventions for atypical social cognitive development. This work will also enhance understanding of the role of social cognition as a foundation for positive outcomes in typical development (academic success, and healthy social relationships). In addition to these societal impacts, the project also involves training graduate students on all aspects of research, including experimental and computational modeling techniques.

Intuitive archeological reasoning will be examined. Artifacts' designs are a combination of socially transmitted ideas (copied or learned from others), and independently generated ideas (for example, facing a similar problem can lead two people to independently create similar tools). Reasoning about social transmission serves as the foundation for many other social inferences, such as inferring a person's likely social and cultural group membership. Thus, researchers will first develop a computational model based on Bayesian inference to explain how people decide whether social transmission of ideas has occurred when observing the design of artifacts. Second, researchers will examine age-related change in how children use rich, explanation-based reasoning to judge whether social transmission has occurred. In the first set of experiments, researchers will ask both adults and children to infer whether one person copied another (a kind of social transmission) when designing a simple tool. In the second set of experiments, researchers will ask for judgments of copying and social transmission in a more complex artifact design task. Children of various ages as well as adults will be tested; their patterns of responses will be compared to the predictions of computational models (of explanation-based reasoning, and simpler perceptual heuristics). By combining formal computational modeling with behavioral experiments across childhood, the researchers will assess how children develop the ability to reason and how this ability changes with age.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Oey, Lauren and Schachner, Adena and Vul, Edward "Designing good deception: Recursive theory of mind in lying and lie detection" The Proceedings of the Annual Meeting of the Cognitive Science Society , 2019 Citation Details
Hurwitz, Ethan and Brady, Timothy F and Schachner, Adena "Detecting social transmission in the design of artifacts via inverse planning" The Proceedings of the Annual Meeting of the Cognitive Science Society , 2019 Citation Details
Oey, Lauren A. and Schachner, Adena and Vul, Edward "Designing and detecting lies by reasoning about other agents." Journal of Experimental Psychology: General , 2022 https://doi.org/10.1037/xge0001277 Citation Details
Pesowski, Madison L. and Quy, Alyssa D. and Lee, Michelle and Schachner, Adena "Children use inverse planning to detect social transmission in design of artifacts" Proceedings of the Annual Conference of the Cognitive Science Society , 2020 Citation Details
Pesowski, M.L. and Kelemen, D. and Schachner, A. "Children use artifacts to infer others' shared interests" Proceedings of the Annual Conference of the Cognitive Science Society , 2021 Citation Details
Kim, M. and Schachner, A. "From music to animacy: Causal reasoning links animate agents with musical sounds" Proceedings of the Annual Conference of the Cognitive Science Society , 2021 Citation Details

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

Understanding the social world is one of the most important challenges of children’s early development, as social cognition forms a foundation for everything from language learning to relationship building, and later academic success. The current project enhanced understanding of a novel aspect of social reasoning: How people learn about others from the objects they create or choose, and how this reasoning develops in childhood. In doing so, this project increased understanding of the way that social cognition operates in the mind, and how it forms a foundation for positive outcomes in child development. In addition, the project also involved training graduate and undergraduate students on all aspects of research, including experimental and computational modeling techniques.

Over the course of the project, we constructed computational models of adults’ and children’s reasoning, and conducted behavioral experiments with both adults and children to examine the developmental trajectory and mature state of social reasoning about objects’ designs. Overall our data show that when thinking about objects, children as young as 4 years of age can think about the design process. This means that when seeing an inanimate object, children can draw richly social conclusions: What shaped the creator’s choices (their goals, constraints), and where their idea came from (whether it was copied, or an original idea). We find that with age (over early-to-middle childhood), children become more adept in reasoning about the design process. For example, by age 6-7 years, children can think about the design process even when they have not experienced creating a similar object themselves. Our computational models provide a formal account of this reasoning as inverse planning, allowing for specific, quantitative predictions of children’s and adults’ judgements.

Several related lines of experiments also provide evidence that this kind of complex, nuanced reasoning explains several related aspects of children’s and adults’ social thinking about objects. For example, we find that children reason about the social meaning of others’ shared preferences for objects in a similar way, by considering others’ underlying goals and social intentions. In addition, we find that adults use social reasoning about others’ goals and beliefs when reasoning about others’ descriptions of objects, and whether they are deceptive, or true.

In each of these cases, we construct and test formal computational models of the social reasoning processes, allowing this work to inform both (1) our understanding of social cognition and how it develops, and (2) our understanding of how to construct artificial intelligences (AI) that reason about the world in a human-like way.

The work supported by this project led to the publication of 2 peer-reviewed papers, with 2 other papers currently under review; 4 peer-reviewed conference papers; and 12 presentations at scientific conferences.

The project has also made substantial contributions to training graduate and undergraduate students, including several members of underrepresented groups. The lab has been engaged in outreach throughout the project, interacting with over 500 children and families across the U.S. via in-person and live virtual interactions with researchers. We have also disseminated our findings to many additional members of the public by sharing our findings via parent-focused posts on social media, and by sharing open-access materials in line with best practices of transparency and open science.


Last Modified: 11/23/2022
Modified by: Adena Schachner

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