Small | Large | Ratio |
---|---|---|
1 | 2 | 0.50 |
2 | 4 | 0.50 |
1 | 3 | 0.33 |
2 | 6 | 0.33 |
Canine Cognition and Human Interaction Lab
University of Nebraska-Lincolndogcog.unl.edu
Research Question
Do owner perceptions of dog impulsivity predict impulsivity in a behavioral task?
Based on and replicated Brady et al., 2018
Behavioral regulation + aggression + responsiveness
Owners not good at predicting dog impulsivity
Did not replicate Brady et al., 2018
Research Question
Is impulsivity a behavioral trait in dogs?
Impulsivity does not correlate across tasks
Impulsivity sometimes correlations with DIAS
Impulsivity does not seem to be a behavioral trait
Similar to other species, including humans
Impulsivity is likely domain-specific
Maybe measure of perception (DIAS) isn’t capturing impulsivity
Research Question
What are the relative contributions of numerical difference and ratio in determining dog quantity preferences?
Detecting differences in stimuli depends on relative magnitude
Ratio = small / large
Small | Large | Ratio |
---|---|---|
1 | 2 | 0.50 |
2 | 4 | 0.50 |
1 | 3 | 0.33 |
2 | 6 | 0.33 |
Small | Large | Ratio |
---|---|---|
1 | 2 | 0.50 |
2 | 4 | 0.50 |
1 | 3 | 0.33 |
2 | 6 | 0.33 |
Difference = large − small
Small | Large | Difference |
---|---|---|
1 | 2 | 1 |
2 | 4 | 2 |
1 | 3 | 2 |
2 | 6 | 4 |
Small | Large | Difference |
---|---|---|
1 | 2 | 1 |
2 | 4 | 2 |
1 | 3 | 2 |
2 | 6 | 4 |
Study | Ratio effects | Difference effects |
---|---|---|
Ward & Smuts 2007 | Yes | Yes |
Baker et al. 2012 | Yes | Not tested |
Miletto Petrazzini & Wynn 2016 | Yes | Not tested |
Aulet et al. 2019 | Yes | Not tested |
Rivas-Blanco et al. 2020 | Yes | Not tested |
Small | Large | Difference | Ratio |
---|---|---|---|
1 | 3 | 2 | 0.33 |
2 | 6 | 4 | 0.33 |
3 | 9 | 6 | 0.33 |
1 | 2 | 1 | 0.50 |
2 | 4 | 2 | 0.50 |
4 | 8 | 4 | 0.50 |
2 | 3 | 1 | 0.67 |
4 | 6 | 2 | 0.67 |
8 | 12 | 4 | 0.67 |
Small | Large | Difference | Ratio |
---|---|---|---|
1 | 3 | 2 | 0.33 |
2 | 6 | 4 | 0.33 |
3 | 9 | 6 | 0.33 |
1 | 2 | 1 | 0.50 |
2 | 4 | 2 | 0.50 |
4 | 8 | 4 | 0.50 |
2 | 3 | 1 | 0.67 |
4 | 6 | 2 | 0.67 |
8 | 12 | 4 | 0.67 |
Model | BF |
---|---|
choice ~ (1 | dog_id) | |
choice ~ diff + (1 | dog_id) | 2,531.3 |
choice ~ ratio + (1 | dog_id) | 15.9 |
choice ~ diff + ratio + (1 | dog_id) | 481.4 |
choice ~ diff * ratio + (1 | dog_id) | 19.8 |
Model | BF |
---|---|
choice ~ (1 | dog_id) | |
choice ~ diff + (1 | dog_id) | 2,531.3 |
choice ~ ratio + (1 | dog_id) | 15.9 |
choice ~ diff + ratio + (1 | dog_id) | 481.4 |
choice ~ diff * ratio + (1 | dog_id) | 19.8 |
Both difference and ratio predict numerical preference when analyzed separately
But only difference predicts when analyzed together
Revisit ubiquity of Weber’s Law
Explore other properties of Weber’s Law
Include difference in models and design studies to test difference effects
Jessica
Barela Hunter
DeBoer Hannah
Fitzpatrick Anwyn
Gatesy-Davis London
Wolff
jstevens5@unl.edu
dogcog.unl.edu
@unl_cchil
jeffreyrstevens.quarto.pub/elte_2024