How do algorithmic decision aids introduced in business decision processes affect task performance? In a first experiment, we study effective collaboration. Faced with a decision, subjects alone have a success rate of 72%; Aided by a recommender that has a 75% success rate, their success rate reaches 76%. The human-system collaboration had thus a greater success rate than each taken alone. However, we noted a complacency/authority bias that degraded the quality of decisions by 5% when the recommender was wrong. This suggests that any lingering algorithmic bias may be amplified by decision aids. In a second experiment, we evaluated the effectiveness of 5 presentation variants in reducing complacency bias. We found that optional presentation increases subjects' resistance to wrong recommendations. We conclude by arguing that our metrics, in real usage scenarios, where decision aids are embedded as system-wide features in Business Process Management software, can lead to enhanced benefits.

中文翻译：

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解决增强型业务决策系统中的认知偏差

业务决策过程中引入的算法决策辅助如何影响任务绩效？在第一个实验中，我们研究了有效的协作。面对一个决定，仅受试者就有72%的成功率；在成功率 75% 的推荐人的帮助下，他们的成功率达到了 76%。因此，人与系统的协作比单独使用的成功率更高。然而，我们注意到当推荐者错误时，自满/权威偏见会使决策质量降低 5%。这表明决策辅助可能会放大任何挥之不去的算法偏差。在第二个实验中，我们评估了 5 个展示变体在减少自满偏见方面的有效性。我们发现可选的演示会增加受试者对错误建议的抵抗力。最后我们认为我们的指标，