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Area of Science:

  • Cognitive Psychology
  • Human-Computer Interaction
  • Artificial Intelligence Ethics

Background:

  • Social interaction relies on attributing 'mind' to others, a process known as mind perception.
  • Mind perception is automatic and can create cognitive conflict with ambiguous agents like AI.
  • This conflict may impair performance on tasks involving artificial agents due to categorization difficulties.

Purpose of the Study:

  • To investigate if mind perception negatively impacts cognitive performance with artificial agents.
  • To explore the role of cognitive conflict in human-AI interaction performance.
  • To determine if pre-exposure can alleviate performance deficits caused by mind perception.

Main Methods:

  • Experiment 1: Assessed vigilance task performance with an ambiguous humanoid stimulus.
  • Experiments 2 & 3: Examined the effect of pre-exposure to the stimulus on performance.
  • Investigated whether explicit (mind questions) or implicit (physical features) conflict resolution mediated recovery.

Main Results:

  • An ambiguous humanoid stimulus impaired vigilance task performance, indicating cognitive resource depletion.
  • Pre-exposure to the stimulus eliminated the negative performance impact in subsequent tasks.
  • Performance recovery was independent of whether cognitive conflict was explicitly or implicitly resolved.

Conclusions:

  • Mind perception is a highly automatic process that can negatively affect cognitive performance.
  • This automaticity persists even when it leads to detrimental effects on task outcomes.
  • Pre-exposure strategies can mitigate the cognitive costs associated with mind perception in human-AI interactions.