We explore different aspects of cognitive diversity and its effect on the success of group deliberation. To evaluate this, we use 500 dialogues from small, online groups discussing the Wason Card Selection task - the DeliData corpus. Leveraging the corpus, we perform quantitative analysis evaluating three different measures of cognitive diversity. First, we analyse the effect of group size as a proxy measure for diversity. Second, we evaluate the effect of the size of the initial idea pool. Finally, we look into the content of the discussion by analysing discussed solutions, discussion patterns, and how conversational probing can improve those characteristics. Despite the reputation of groups for compounding bias, we show that small groups can, through dialogue, overcome intuitive biases and improve individual decision-making. Across a large sample and different operationalisations, we consistently find that greater cognitive diversity is associated with more successful group deliberation. Code and data used for the analysis are available in the anonymised repository: https://anonymous.4open.science/ r/cogsci24-FD6D

翻译：我们探讨了认知多样性的不同方面及其对群体讨论成功程度的影响。为此，我们使用了来自小型在线群体讨论沃森卡片选择任务的500段对话——DeliData语料库。借助该语料库，我们进行了定量分析，评估了三种不同的认知多样性度量指标。首先，我们分析了群体规模作为多样性代理变量的影响。其次，我们评估了初始想法池规模的影响。最后，我们通过分析讨论的解决方案、讨论模式以及对话探究如何改善这些特征，深入探究了讨论内容。尽管群体常被认为会加剧偏差，但我们表明，小型群体可以通过对话克服直觉偏差，并改善个体决策。在大样本和不同操作化方法下，我们一致发现，更高的认知多样性与更成功的群体讨论相关联。分析所用的代码和数据可在匿名存储库中获取：https://anonymous.4open.science/r/cogsci24-FD6D