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Assessing bird vocalisation identification accuracy using a computer-based quiz
New Zealand Journal of Zoology ( IF 1.3 ) Pub Date : 2018-10-24 , DOI: 10.1080/03014223.2018.1536068
James A. J. Mortimer 1 , Terry C. Greene 1 , Shannan P. Mortimer 2
Affiliation  

ABSTRACT Reliable information on bird population trends is required to inform management and policy decisions. The ability to accurately identify species is therefore essential, yet there have been few studies on this subject. This study investigated accuracy of bird vocalisation identification via the use of a computer-based quiz, to provide data on difficult-to-identify species which may be used to inform training requirements and data analyses. Identification accuracy was highly variable, and for several species some vocalisation types were more difficult to identify accurately than others. Analysis of incorrect responses revealed that confusion was usually between species with similar vocalisations. A comparison of participants’ perceived identification ability (via self-assessment) to their actual ability, as determined from their quiz score showed that advanced participants usually assessed their ability accurately, whilst the remaining participants (intermediate, novice and no experience) generally underestimated their ability, demonstrating the need for an objective means of bird identification skill assessment.

中文翻译:

使用基于计算机的测验评估鸟类发声识别的准确性

摘要 需要有关鸟类种群趋势的可靠信息来为管理和政策决策提供信息。因此,准确识别物种的能力至关重要,但关于这一主题的研究很少。这项研究通过使用基于计算机的测验调查了鸟类发声识别的准确性,以提供有关难以识别的物种的数据,这些数据可用于为培训要求和数据分析提供信息。识别准确度变化很大,对于一些物种,某些发声类型比其他类型更难准确识别。对错误反应的分析表明,混淆通常发生在具有相似发声的物种之间。参与者感知识别能力(通过自我评估)与实际能力的比较,
更新日期:2018-10-24
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