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 repository: https://github.com/gkaradzhov/cognitive-diversity-groups-cogsci24.

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的影响。为评估这一影响，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。基于该语料库，我们进行了定量分析，评估了认知多样性的三种不同度量方式。首先，我们分析了群体规模作为多样性代理指标的影响。其次，我们评估了初始观点池规模的影响。最后，我们通过分析讨论方案、讨论模式以及对话性追问如何改善这些特征，深入探讨了讨论内容。尽管群体常被认为会加剧偏见，但我们表明，小型群体可以通过对话克服直觉偏见，改善个体决策。在大量样本和不同操作化方式下，我们一致发现：认知多样性越高，群体讨论越成功。分析使用的代码和数据已存储于仓库：https://github.com/gkaradzhov/cognitive-diversity-groups-cogsci24。