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Social Context Matters-Characterizing Adolescent Cooperation Strategies When Perceiving the Other as a Peer Versus

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Summary
This summary is machine-generated.

Adolescents cooperate more with adaptive AI than fixed computers, showing partner adaptivity and social context influence their decisions. Direct reciprocity best explains cooperation, with a generous strategy emerging in social interactions.

Keywords:
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Area of Science:

  • Developmental psychology
  • Social neuroscience
  • Human-computer interaction

Background:

  • Adolescence is a critical period for developing prosocial skills like cooperation.
  • Adolescents interact with both peers and artificial intelligence (AI) agents.
  • Understanding adolescent cooperation with different partners is crucial.

Purpose of the Study:

  • To investigate how adolescents adjust cooperation strategies with human peers versus adaptive and fixed computer partners.
  • To determine if adolescents exhibit different trust and reciprocity behaviors based on interaction partner.

Main Methods:

  • Sixty-seven adolescents played a multiround trust game in a laboratory setting.
  • Participants interacted with a peer, an adaptive algorithm (deceived as peer), and a fixed computer.
  • Cooperation strategies were modeled using direct reciprocity and reinforcement learning (RL).

Main Results:

  • Adolescents sustained cooperation more with adaptive AI compared to fixed computer partners.
  • Direct reciprocity was the dominant strategy, with a more generous model observed in social conditions.
  • Adolescents showed increased reinitiation of cooperation after defection in social contexts.

Conclusions:

  • Partner adaptivity significantly influences adolescent cooperation decisions.
  • The social context, including perceived partner identity, shapes cooperative behaviors.
  • Adolescent cooperation is best explained by a flexible direct reciprocity strategy.