Filippi Piera, Gogoleva Svetlana S, Volodina Elena V, Volodin Ilya A, de Boer Bart
Artificial Intelligence Laboratory, Department of Computer Science, Faculty of Science, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium.
Brain and Language Research Institute, Aix-Marseille University, Avenue Pasteur 5, 13604 Aix-en-Provence, France.
Curr Zool. 2017 Aug;63(4):445-456. doi: 10.1093/cz/zox035. Epub 2017 Jun 20.
The ability to identify emotional arousal in heterospecific vocalizations may facilitate behaviors that increase survival opportunities. Crucially, this ability may orient inter-species interactions, particularly between humans and other species. Research shows that humans identify emotional arousal in vocalizations across multiple species, such as cats, dogs, and piglets. However, no previous study has addressed humans' ability to identify emotional arousal in silver foxes. Here, we adopted low- and high-arousal calls emitted by three strains of silver fox-Tame, Aggressive, and Unselected-in response to human approach. Tame and Aggressive foxes are genetically selected for friendly and attacking behaviors toward humans, respectively. Unselected foxes show aggressive and fearful behaviors toward humans. These three strains show similar levels of emotional arousal, but different levels of emotional valence in relation to humans. This emotional information is reflected in the acoustic features of the calls. Our data suggest that humans can identify high-arousal calls of Aggressive and Unselected foxes, but not of Tame foxes. Further analyses revealed that, although within each strain different acoustic parameters affect human accuracy in identifying high-arousal calls, spectral center of gravity, harmonic-to-noise ratio, and F0 best predict humans' ability to discriminate high-arousal calls across all strains. Furthermore, we identified in spectral center of gravity and F0 the best predictors for humans' absolute ratings of arousal in each call. Implications for research on the adaptive value of inter-specific eavesdropping are discussed.
识别异种发声中情绪唤起的能力可能有助于增加生存机会的行为。至关重要的是,这种能力可能会引导种间互动,特别是人类与其他物种之间的互动。研究表明,人类能够识别多种物种发声中的情绪唤起,如猫、狗和小猪。然而,以前没有研究探讨过人类识别银狐情绪唤起的能力。在这里,我们采用了三种银狐品系——温顺型、攻击性型和未选育型——在人类靠近时发出的低唤起和高唤起叫声。温顺型和攻击性型狐狸分别在基因上被选育出对人类友好和攻击的行为。未选育型狐狸对人类表现出攻击性和恐惧行为。这三个品系表现出相似程度的情绪唤起,但与人类相关的情绪效价水平不同。这种情绪信息反映在叫声的声学特征中。我们的数据表明,人类能够识别攻击性型和未选育型狐狸的高唤起叫声,但不能识别温顺型狐狸的。进一步分析表明,虽然在每个品系中不同的声学参数会影响人类识别高唤起叫声的准确性,但重心频率、谐波噪声比和基频最能预测人类在所有品系中区分高唤起叫声的能力。此外,我们在重心频率和基频中确定了人类对每个叫声唤起程度绝对评分的最佳预测指标。讨论了对种间偷听适应性价值研究的启示。