Increasing arousal enhances inhibitory control in calm but not excitable dogs
- 822 Downloads
The emotional-reactivity hypothesis proposes that problem-solving abilities can be constrained by temperament, within and across species. One way to test this hypothesis is with the predictions of the Yerkes–Dodson law. The law posits that arousal level, a component of temperament, affects problem solving in an inverted U-shaped relationship: Optimal performance is reached at intermediate levels of arousal and impeded by high and low levels. Thus, a powerful test of the emotional-reactivity hypothesis is to compare cognitive performance in dog populations that have been bred and trained based in part on their arousal levels. We therefore compared a group of pet dogs to a group of assistance dogs bred and trained for low arousal (N = 106) on a task of inhibitory control involving a detour response. Consistent with the Yerkes–Dodson law, assistance dogs, which began the test with lower levels of baseline arousal, showed improvements when arousal was artificially increased. In contrast, pet dogs, which began the test with higher levels of baseline arousal, were negatively affected when their arousal was increased. Furthermore, the dogs’ baseline levels of arousal, as measured in their rate of tail wagging, differed by population in the expected directions. Low-arousal assistance dogs showed the most inhibition in a detour task when humans eagerly encouraged them, while more highly aroused pet dogs performed worst on the same task with strong encouragement. Our findings support the hypothesis that selection on temperament can have important implications for cognitive performance.
KeywordsInhibitory control Arousal Canine Cognition Assistance dogs
Thanks to R. Seyfarth, D. Cheney, J. Serpell, A. Duckworth, and two anonymous reviewers for valuable feedback on drafts and statistical analysis, as well as A. Gersick, I. Schamberg, and N. Snyder-Mackler for thoughtful discussion. We also thank K. Morucci and L. Lewis for help with coding, along with K. Duffy, E. Blumstein, T. Jones, A. Reinhardt, L. Thielke, L. Strassberg, M. Jackson, C. Wang, and members of the Duke Canine Cognition Center for assistance with data collection and testing. We are extremely grateful to the administration, trainers, and staff at Canine Companions for Independence, and especially Paul Mundell, former National Director of Canine Programs and current Chief Executive Officer, for allowing us to work with their dogs and use their state-of-the-art facilities. This work was supported in part by the Vertical Integration Program, the Duke Undergraduate Research Support Office, the AKC Canine Health Foundation, a National Science Foundation Graduate Research Fellowship under Grant No. DGE-1321851, Office of Naval Research Grant No. NOOO14-12-1-0095, and National Institute of Health Grant 5 R03 HD070649-02. Any opinions, findings, and conclusions or recommendations expressed in this material are solely the responsibility of the authors and do not necessarily reflect the views of the National Science Foundation or the AKC Canine Health Foundation.
The study was funded by the AKC Canine Health Foundation, the National Science Foundation (Grant No. DGE-1321851), the Office of Naval Research (Grant No. NOOO14-12-1-0095), and the National Institute of Health (Grant No. 5 R03 HD070649-02). All applicable international, national, and/or institutional guidelines for the care and use of animals were followed. All procedures performed in studies involving animals were in accordance with the ethical standards of the institution or practice at which the studies were conducted.
- Eysenck HJ (2002) The dynamics of anxiety & hysteria: an experimental application of modern learning theory to psychiatry. Transaction Publishers, New BrunswickGoogle Scholar
- Jones AC (2008) Development and validation of a dog personality questionnaire. University of Texas at Austin, Austin. (Unpublished doctoral dissertation)Google Scholar
- Kagan J, Snidman N (2004) The long shadow of temperament. Belknap Press, CambridgeGoogle Scholar
- R Development Core Team (2008) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org
- Rehn T (2013) Best of Friends? Investigating the dog–human relationship. Swedish University of Agricultural Sciences, UppsalaGoogle Scholar
- Revelle W, Loftus DA (1992) The implications of arousal effects for the study of affect and memory. In: Christianson SA (ed) The handbook of emotion and memory: research and theory. Psychology Press, New York, pp 113–149Google Scholar
- Tooby J, Cosmides L (2005) Conceptual foundations of evolutionary psychology. In: Buss DM (ed) The handbook of evolutionary psychology. Wiley, Hoboken, pp 5–67Google Scholar
- Topál Erdőhegyi Á, Mányik R, Miklós Á (2006) Mindreading in a dog: an adaptation of a primate mental attribution study. Int J Psychol Psychol Ther 6(3):365–379Google Scholar
- Topál J, Miklósi Á, Gácsi M, Dóka A, Pongrácz P, Kubinyi E, Virányi Z, Csányi V (2009) The dog as a model for understanding human social behavior. In: Brockmann JH, Roper TJ, Naguib M, Wynne-Edwards KE, Mitani JC, Leigh WS (eds) Advances in the study of behavior, vol 39. Academic Press, New York, pp 71–116Google Scholar
- Wright HF, Mills DS, Pollux PMJ (2011) Development and validation of a psychometric tool for assessing impulsivity in the domestic dog (Canis familiaris). Int J Comp Psychol 24(2):210–225Google Scholar