Melissa Gabriela Bravo Fonseca’s research while affiliated with Federal University of Minas Gerais and other places

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Publications (1)


Figure 1. Illustrative spectrogram of a trainer's speech. Blue boxes represent the marking of the fundamental frequency (F0) of two distinct speech events. Arrows indicate the maximum (max.) and minimum (min.) frequencies of these speeches. X axis: time interval (200 ms); y axis: frequency in kHz.
Figure 4. Dispersion of the time dogs (Canis familiaris) and wolves (Canis lupus) spent tail wagging in Positive Reinforcement Training sessions, as a function of acoustic characteristics of the trainers' voices. Y axis = tail wagging duration of dogs and wolves (s); X axis = (A) maximum frequency (Hz), (B) average power (dB), (C) delta time (s), and (D) peak frequency (Hz). Each dot represents an individual training session.
Names, sexes *, and ages (in months, at the moment of data collection) of the dogs and wolves that participated of Positive Reinforcement Training sessions in this study.
Pearson correlations run for dogs (Canis familiaris) and wolves (Canis lupus), considering the effects of the variables nice speeches, nice names, neutral speeches, neutral names, and reprehensive names on the response variables retreating and tail retreated.
Final Generalized Linear Mixed Models * run for dogs (Canis familiaris), analyzing the effects of the variables minimum frequency; maximum frequency; delta time; average power; peak frequency on the response variables correct responses; jumping; and tail wagging.

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The Power of Discourse: Associations between Trainers’ Speech and the Responses of Socialized Wolves and Dogs to Training
  • Article
  • Full-text available

March 2023

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3 Citations

Animals

Melissa Gabriela Bravo Fonseca

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In a previous study, we found that Positive Reinforcement Training reduced cortisol of wolves and dogs; however, this effect varied across trainer–animal dyads. Here we investigate whether and how the trainers’ use of speech may contribute to this effect. Dogs’ great interest in high-pitched, intense speech (also known as Dog Directed Speech) has already been reported, but whether and how wolves respond similarly/differently to voice characteristics has never been studied before. We analyzed 270 training sessions, conducted by five trainers, with nine mixed-breed dogs and nine wolves, all human-socialized. Through Generalized Linear Mixed Models, we analyzed the effects of (a) three speech categories (nice, neutral, reprehensive) and laugh; and (b) acoustic characteristics of trainers’ voices on animals’ responses (correct responses, latency, orientation, time at less than 1 m, non-training behaviors, tail position/movements, cortisol variation). In both subspecies, tail wagging occurred more often in sessions with longer durations of nice speech, and less often in sessions with reprehensive speech. For dogs, the duration of reprehensive speech within a session was also negatively related to correct responses. For wolves, retreat time was associated with more reprehensive speech, whereas duration of nice speech was positively associated with time spent within one meter from the trainer. In addition, most dog behavioral responses were associated with higher average intonations within sessions, while wolf responses were correlated with lower intonations within sessions. We did not find any effects of the variables considered on cortisol variation. Our study highlights the relevance of voice tone and speech in a training context on animals’ performances and emotional reactions.

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