Impulsivity and quantity preference in dogs

Jeff Stevens

Canine Cognition and Human Interaction Lab
University of Nebraska-Lincoln
dogcog.unl.edu

Perceptions of Impulsivity

Owner perceptions of dog impulsivity

Research Question

Do owner perceptions of dog impulsivity predict impulsivity in a behavioral task?

Based on and replicated Brady et al., 2018

Measuring owner perceptions

Dog Impulsivity Assessment Scale (DIAS)

Behavioral regulation + aggression + responsiveness

Wright et al., 2011

Measuring spatial impulsivity

Study design

Study 1

  • At UNL CCHIL
  • Recruited 117 dogs
  • 65 dogs completed testing/owners completed DIAS

Study 2

  • At dog daycare
  • Recruited 103 dogs
  • 49 dogs completed testing/owners completed DIAS

Perception vs. behavior

Discussion

  • Owners not good at predicting dog impulsivity

  • Did not replicate Brady et al., 2018

    • British know their dogs better than Americans
    • Poor attempt at replication
    • Different dog populations (breeds, neuter status)
    • Different owner populations
    • Less than robust methods in original study

Impulsivity as a trait

Impulsivity as a trait in dogs

Research Question

Is impulsivity a behavioral trait in dogs?

  • Do dogs’ impulsivity levels correlate across tasks?
  • Do dogs’ impulsivity levels correlate with owner perceptions?

Systematic review and meta-analysis

  • Searched 9,900 records from Scopus, Web of Science, and PsychINFO
  • 13 articles conducted correlations between impulsivity tasks and/or between the Dog Impulsivity Assessment Scale (DIAS) and behavioral tasks

Tasks

  • A-not-B Barrier
  • A-not-B Cup
  • Box
  • Buzzer
  • Cylinder
  • Delay Discounting
  • Detour Fence
  • Leash
  • Middle Cup
  • Sit-Stay
  • Social Inhibition
  • Spatial Impulsivity
  • Wait-for-Treat

Task pairs (N=29)

DIAS and tasks (N=15)

Discussion

  • 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

Quantity preference

Dog quantity preferences

Research Question

What are the relative contributions of numerical difference and ratio in determining dog quantity preferences?

Food preference task

What drives preference?

Weber’s Law

Detecting differences in stimuli depends on relative magnitude

Numerical ratio

Key signature of Weber’s law

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

Numerical difference/distance/disparity

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

Previous work on difference and ratio

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

Subjects

  • Seven dogs from local dog daycare completed all sessions
    • 2:5 male:female (all spayed/neutered)
    • Two goldendoodles, one golden retriever, one collie, three mixes
    • 1-3 years old
    • 12-78 lbs

Set-up

Procedures

  • Sessions consisted of warm-up trials, experimental trials, and jackpot trials
  • Ten sessions per subject

Numerical pairs

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

Difference or ratio

Difference and ratio

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

Summary

  • Both difference and ratio predict numerical preference when analyzed separately

  • But only difference predicts when analyzed together

Previous preference work

Previous discrimination work

Discussion

  • Revisit ubiquity of Weber’s Law

  • Explore other properties of Weber’s Law

  • Include difference in models and design studies to test difference effects

Lessons Learned

Replicability

  • Increase sample sizes
  • Conduct more replications (within and between labs)
  • Increase robustness and reproducibility of analyses
  • Post data publicly
  • Provide more and consistent info on owners
  • Consider populations of owners and dogs

Site differences

Construct validity

  • Revisit theoretical constructs
  • Connect to work on other species
  • Focus on reliable measures

Credibility

  • Question dogma
  • Be open to alternative factors at play
  • Use strong inference and triangulation
  • Analyze other people’s data

Thank you!

Jessica Barela Hunter DeBoer Hannah Fitzpatrick Anwyn Gatesy-Davis London Wolff

Jessica
Barela
Hunter
DeBoer
Hannah
Fitzpatrick
Anwyn
Gatesy-Davis
London
Wolff

jstevens5@unl.edu dogcog.unl.edu @unl_cchil