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A bonus task boosts people's willingness to offload cognition to an algorithm.
Basil Wahn1,2, Laura Schmitz3
1Institute of Educational Research, Ruhr University Bochum, Bochum, Germany. basilwahn@gmail.com.
Cognitive Research: Principles and Implications
|April 23, 2024
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.
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.
Keywords:
Algorithmic appreciationAlgorithmic aversionCognitive offloadingHuman–computer collaborationHuman–computer interactionSocial cognitionMore Related Videos
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