TY - JOUR

T1 - Beyond human-likeness: Socialness is more influential when attributing mental states to robots

AU - Jastrzab Binney, Laura

AU - Chaudhury, Bishakha

AU - Ashley, Sarah

AU - Koldewyn, Kami

AU - Cross, Emily

N1 - © 2024 The Author(s).

PY - 2024/6/21

Y1 - 2024/6/21

N2 - We sought to replicate and expand previous work showing that the more human-like a robot appears, the more willing people are to attribute mind-like capabilities and socially engage with it. Forty-two participants played games against a human, a humanoid robot, a mechanoid robot, and a computer algorithm while undergoing functional neuroimaging. We confirmed that the more human-like the agent, the more participants attributed a mind to them. However, exploratory analyses revealed that the perceived socialness of an agent appeared to be as, if not more, important for mind attribution. Our findings suggest top-down knowledge cues may be equally or possibly more influential than bottom-up stimulus cues when exploring mind attribution in non-human agents. While further work is now required to test this hypothesis directly, these preliminary findings hold important implications for robotic design and to understand and test the flexibility of human social cognition when people engage with artificial agents

AB - We sought to replicate and expand previous work showing that the more human-like a robot appears, the more willing people are to attribute mind-like capabilities and socially engage with it. Forty-two participants played games against a human, a humanoid robot, a mechanoid robot, and a computer algorithm while undergoing functional neuroimaging. We confirmed that the more human-like the agent, the more participants attributed a mind to them. However, exploratory analyses revealed that the perceived socialness of an agent appeared to be as, if not more, important for mind attribution. Our findings suggest top-down knowledge cues may be equally or possibly more influential than bottom-up stimulus cues when exploring mind attribution in non-human agents. While further work is now required to test this hypothesis directly, these preliminary findings hold important implications for robotic design and to understand and test the flexibility of human social cognition when people engage with artificial agents

KW - social neuroscience

KW - social robotics

KW - second-person neuroscience

KW - social cognition

KW - Mentalizing

U2 - 10.1016/j.isci.2024.110070

DO - 10.1016/j.isci.2024.110070

M3 - Article

C2 - 38947497

VL - 27

JO - iScience

JF - iScience

SN - 2589-0042

IS - 6

M1 - 110070

ER -