10.6084/m9.figshare.5236081.v1
Piera Filippi
Piera
Filippi
Jenna V. Congdon
Jenna V.
Congdon
John Hoang
John
Hoang
Daniel L. Bowling
Daniel
L. Bowling
Stephan A. Reber
Stephan A.
Reber
Andrius Pašukonis
Andrius
Pašukonis
Marisa Hoeschele
Marisa
Hoeschele
Sebastian Ocklenburg
Sebastian
Ocklenburg
Bart de Boer
Bart
de Boer
Christopher B. Sturdy
Christopher
B. Sturdy
Albert Newen
Albert
Newen
Onur Güntürkün
Onur
Güntürkün
Table 3 from Humans recognize emotional arousal in vocalizations across all classes of terrestrial vertebrates: evidence for acoustic universals
The Royal Society
2017
emotional arousal
language evolution
vocal communication
cross-species communication
acoustic universals
emotional prosody
2017-07-24 11:51:36
Journal contribution
https://rs.figshare.com/articles/journal_contribution/Table_3_from_Humans_recognize_emotional_arousal_in_vocalizations_across_all_classes_of_terrestrial_vertebrates_evidence_for_acoustic_universals/5236081
(A) Values of the GLMMs computed across animal species. We assessed acoustic predictors of humans’ ability to identify vocalizations expressing higher levels of arousal across terrestrial tetrapods. Bold type indicate p ≤0.05; degrees of freedom = 1 for all fixed factors. (B) Outcome of AICc ranking for GLMMs computed across animal species. ∆AICc is the difference in AICc between each model and the best model. The Akaike's weights indicates the relative support that a given model has from the data, compared to other candidate models. Bold type indicates models with the highest power to explain variation in the dependent variable, based on lowest AICc.