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A bonus task boosts people's willingness to offload cognition to an algorithm.

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Summary

People are more willing to offload demanding tasks to algorithms when they know the algorithm is flawless. A bonus task, even un-incentivized, also boosts willingness to delegate tasks to AI.

Keywords:
Algorithmic appreciationAlgorithmic aversionCognitive offloadingHuman–computer collaborationHuman–computer interactionSocial cognition

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Area of Science:

  • Human-Computer Interaction
  • Cognitive Psychology
  • Artificial Intelligence

Background:

  • Technological advancements enable task delegation to algorithms.
  • Understanding human trust and willingness to offload cognitive tasks is crucial.

Purpose of the Study:

  • Investigate factors influencing the delegation of attentionally demanding tasks to algorithms.
  • Examine the impact of algorithm capacity knowledge and bonus task availability on offloading behavior.

Main Methods:

  • Participants engaged in a multiple object tracking (MOT) task.
  • Offloading behavior was assessed under varying conditions of algorithm accuracy information and bonus task incentives.
  • A "computer partner" was available for task delegation.

Main Results:

  • Complete task offloading significantly increased when participants knew the algorithm's accuracy was flawless.
  • The presence of a bonus task, even without financial incentive, boosted willingness to offload.
  • Incentivization of the bonus task did not significantly alter offloading behavior.

Conclusions:

  • Knowledge of an algorithm's perfect accuracy enhances human willingness to delegate tasks.
  • Bonus tasks, irrespective of financial incentives, significantly increase task offloading.
  • These findings inform the design of human-AI collaboration systems.