Zhang Hanshu, Zhu Peng-Fei, Yang Cheng-Ta
Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China.
School of Psychology, Key Laboratory of Human Development and Mental Health of Hubei Province, Central China Normal University, Hongshan District, 152 Luoyu Road, Wuhan, Hubei, China.
Psychon Bull Rev. 2025 Feb;32(1):463-471. doi: 10.3758/s13423-024-02558-5. Epub 2024 Aug 15.
In practical visual search fields, observers often encounter errors that result from an unknown number of targets, which may induce reduced accuracy and speed. Our current study addresses the potential enhancement of collaborative search efficiency as a dyad to mitigate such incurred search costs. Utilizing the capacity coefficient, we evaluated search efficiency and explored the interplay of task difficulty and termination rule in collaborative visual search. Our prediction that collaborative benefits increased with elevated task difficulty was not supported in Experiment 1, where participants were tasked with judging the presence of any target. In contrast, Experiment 2 demonstrated that dyads exhibited greater search efficiency during exhaustive searches for multiple targets with elevated task difficulty. Notably, our findings indicated an advantage in dyad searches compared to baseline predictions from individual searches. Our results underscored the significance of task difficulty and termination rules in leveraging human resources for improved collaborative visual search performance.
在实际的视觉搜索领域中，观察者经常会遇到因目标数量未知而导致的错误，这可能会降低准确性和速度。我们当前的研究探讨了作为二元组协作搜索效率的潜在提升，以减轻此类产生的搜索成本。利用容量系数，我们评估了搜索效率，并探讨了协作视觉搜索中任务难度和终止规则的相互作用。在实验1中，参与者的任务是判断是否存在任何目标，我们关于协作收益随任务难度增加而增加的预测未得到支持。相比之下，实验2表明，在对多个目标进行详尽搜索且任务难度增加时，二元组表现出更高的搜索效率。值得注意的是，我们的研究结果表明，与个体搜索的基线预测相比，二元组搜索具有优势。我们的结果强调了任务难度和终止规则在利用人力资源以提高协作视觉搜索性能方面的重要性。
