The Impact of Advice-seeking Motivation and Advice Source on Advice Taking in the Context of Human-machine Collaboration
Advice from algorithms are not always provided independently by AI,but may also be jointly provided by experts and AI,that is,human-machine collaboration.So,in the context of human-machine collaboration,there is currently little research exploring the impact of decision makers'advice-seeking motivations on advice taking.Therefore,this study explores the impact of advice source and advice-seeking motivation on advice taking in the context of human-machine collaboration,using disease prediction materials.Study 1 employed a single-factor(advice source:expert/AI/human-machine collaboration)between-subjects design and found that decision-makers took advice from human-machine collaboration more than those from AI,while there was no significant difference between the advice taking level from human-machine collaboration and experts.Study 2 used a 2(advice source:expert/human-machine collaboration)× 3(advice-seeking motivation:relational motivation/accuracy motivation/control group)between-subjects design and found that decision-makers took advice from human-machine collaboration more than those from experts.Additionally,the advice taking level was higher under the relational motivation condition than under the accuracy motivation condition.The results of this study indicate that people are willing to accept advice given by experts using AI.
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