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Home / Equine Research Bank / Sci Rep / Spontaneous attention-capture by auditory distractors as pre...
Scientific reports2017; 7(1); 15283; doi: 10.1038/s41598-017-15654-5

Spontaneous attention-capture by auditory distractors as predictor of distractibility: a study of domestic horses (Equus caballus).

Abstract: Distractibility (i.e. individual distraction from his ongoing activity) is thoughts to affect daily life. The present study develops an easy way to assess inter-individual variations of distractibility of an animal model, the domestic horse. We developed the 'distractibility test' (DT), based on auditory stimuli, a major source of distraction in daily life. We hypothesized that the broadcast of unusual sounds would provide a reliable source of distraction and that the responses to these unusual sounds would yield a good estimation of a horse's level of distractibility. Validity of the DT was assessed by comparing the subjects' interest towards the sound in this test to their attentional state in experimental visual attention tasks and in a working task. Our results showed inter-individual differences in response to the stimuli, with consistency over time. The subjects' responses to this DT were negatively correlated to their attentional skills in separate experimental tests and in a working task. This is to our knowledge the first 'real-world' estimate of an animal's distractibility in its home environment that could potentially be adapted for humans.
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Publication Date: 2017-11-10 PubMed ID: 29127367PubMed Central: PMC5681571DOI: 10.1038/s41598-017-15654-5Google Scholar: Lookup
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  • Non-U.S. Gov't

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This research aims to develop a simple way of measuring the level of distractibility in horses using a ‘distractibility test’. This test utilizes unusual sounds to capture the subject’s attention, and the response to these sounds is considered indicative of the horse’s level of distractibility. Differences were observed between individual horses and consistent over time. The findings correlate with the horses’ attentional skills in separate experimental tests and work tasks.

Development of the Distractibility Test

  • Researchers aimed to harness the distraction caused by auditory stimuli in daily life to create a measure of distractibility.
  • An experimental method called the ‘distractibility test’ (DT) was created, with its basis being the broadcast of unusual sounds, expected to act as reliable distractions.
  • This test was developed for use with the domestic horse as an animal model, with the goal of measuring inter-individual levels of distractibility.

Validity of the Distractibility Test

  • The validity of the distractibility test was determined by examining whether the subject horse’s interest in the unusual sound during the DT was comparable to their attentional state in other experimental visual attention tasks and working tasks.
  • The horses’ responses to the sounds in the DT were compared with their attentional skills in separate experimental tests and in a working task for validity.

Results and Implications

  • Results indicated a variation in response to the auditory stimuli between individual horses and over time, which confirmed the hypothesis that these broadcasts could be a reliable source of distraction.
  • Following the test, the subjects’ reactions were found to be inversely correlated with their attention skills in separate experimental routines and in a working task.
  • This suggests that the distractibility test could be used to estimate the distractibility level of an animal in its natural environment.
  • The authors suggest that this is the first time a ‘real-world’ animal distractibility test has been created in a home environment, and that it could be adapted for use with humans.

Cite This Article

APA
Rochais C, Henry S, Hausberger M. (2017). Spontaneous attention-capture by auditory distractors as predictor of distractibility: a study of domestic horses (Equus caballus). Sci Rep, 7(1), 15283. https://doi.org/10.1038/s41598-017-15654-5

Publication

Scientific reports
ISSN: 2045-2322
NlmUniqueID: 101563288
Country: England
Language: English
Volume: 7
Issue: 1
Pages: 15283
PII: 15283

Researcher Affiliations

Rochais, C
  • Université de Rennes 1, UMR CNRS 6552 - Laboratoire Ethologie Animale et Humaine-EthoS- Station Biologique, 35380, Paimpont, France. celine.rochais@gmail.com.
Henry, S
  • Université de Rennes 1, UMR CNRS 6552 - Laboratoire Ethologie Animale et Humaine-EthoS- Station Biologique, 35380, Paimpont, France.
Hausberger, M
  • CNRS- UMR 6552 Université de Rennes 1, - Laboratoire Ethologie Animale et Humaine- 263 avenue du général Leclerc, 35042, Rennes cedex, France.

MeSH Terms

  • Acoustic Stimulation
  • Animals
  • Attention / physiology
  • Auditory Perception / physiology
  • Female
  • Horses
  • Male

Conflict of Interest Statement

The authors declare that they have no competing interests.

References

This article includes 40 references
  1. Posner MI. Cognitive neuroscience of attention. (Guilford Press, 2012).
  2. Treisman AM. Strategies and models of selective attention.. Psychol Rev 1969 May;76(3):282-99.
    doi: 10.1037/h0027242pubmed: 4893203google scholar: lookup
  3. Forster S, Lavie N. Distracted by your mind? Individual differences in distractibility predict mind wandering.. J Exp Psychol Learn Mem Cogn 2014 Jan;40(1):251-260.
    doi: 10.1037/a0034108pubmed: 23957365google scholar: lookup
  4. Bidet-Caulet A, Bottemanne L, Fonteneau C, Giard MH, Bertrand O. Brain dynamics of distractibility: interaction between top-down and bottom-up mechanisms of auditory attention.. Brain Topogr 2015 May;28(3):423-36.
    doi: 10.1007/s10548-014-0354-xpubmed: 24531985google scholar: lookup
  5. Murphy S, Dalton P. Ear-catching? Real-world distractibility scores predict susceptibility to auditory attentional capture.. Psychon Bull Rev 2014 Oct;21(5):1209-13.
    doi: 10.3758/s13423-014-0596-3pubmed: 24563416google scholar: lookup
  6. Quenette P-Y. Functions of vigilance behaviour in mammals: a review. Acta Oecol 1990;11:801–818.
  7. Range F, Horn L, Bugnyar T, Gajdon GK, Huber L. Social attention in keas, dogs, and human children.. Anim Cogn 2009 Jan;12(1):181-92.
    doi: 10.1007/s10071-008-0181-0pmc: PMC4415148pubmed: 18716802google scholar: lookup
  8. Beauchamp G. A comparative analysis of vigilance in birds. Evol. Ecol. 2010;24:1267–1276.
    doi: 10.1007/s10682-010-9358-5google scholar: lookup
  9. Broadbent DE, Cooper PF, FitzGerald P, Parkes KR. The Cognitive Failures Questionnaire (CFQ) and its correlates.. Br J Clin Psychol 1982 Feb;21(1):1-16.
    doi: 10.1111/j.2044-8260.1982.tb01421.xpubmed: 7126941google scholar: lookup
  10. Brace LR, Kraev I, Rostron CL, Stewart MG, Overton PG, Dommett EJ. Auditory responses in a rodent model of Attention Deficit Hyperactivity Disorder.. Brain Res 2015 Dec 10;1629:10-25.
    doi: 10.1016/j.brainres.2015.09.038pubmed: 26453290google scholar: lookup
  11. Duffy DL, Serpell JA. Behavioral assessment of guide and service dogs. J. Vet. Behav. Clin. Appl. Res. 2008;3:186–188.
    doi: 10.1016/j.jveb.2007.12.010google scholar: lookup
  12. Rochais C, Henry S, Sankey C, Nassur F, Góracka-Bruzda A, Hausberger M. Visual attention, an indicator of human-animal relationships? A study of domestic horses (Equus caballus).. Front Psychol 2014;5:108.
    doi: 10.3389/fpsyg.2014.00108pmc: PMC3923161pubmed: 24592244google scholar: lookup
  13. Baragli P, Padalino B, Telatin A. The role of associative and non-associative learning in the training of horses and implications for the welfare (a review).. Ann Ist Super Sanita 2015;51(1):40-51.
    pubmed: 25857383doi: 10.4415/ann_15_01_08google scholar: lookup
  14. Lesimple C, Sankey C, Richard MA, Hausberger M. Do horses expect humans to solve their problems?. Front Psychol 2012;3:306.
    pmc: PMC3426792pubmed: 22936923doi: 10.3389/fpsyg.2012.00306google scholar: lookup
  15. Hausberger M, Gautier E, Müller C, Jego P. Lower learning abilities in stereotypic horses. Appl. Anim. Behav. Sci. 2007;107:299–306.
    doi: 10.1016/j.applanim.2006.10.003google scholar: lookup
  16. Noble GK, Blackshaw KL, Cowling A, Harris PA, Sillence MN. An objective measure of reactive behaviour in horses. Appl. Anim. Behav. Sci. 2013;144:121–129.
    doi: 10.1016/j.applanim.2012.12.009google scholar: lookup
  17. Waring GH. Horse Behavior. (Noyes Publications/William Andrew Pub., 2003).
  18. Wathan J, McComb K. The eyes and ears are visual indicators of attention in domestic horses.. Curr Biol 2014 Aug 4;24(15):R677-9.
    doi: 10.1016/j.cub.2014.06.023pmc: PMC4123162pubmed: 25093554google scholar: lookup
  19. Rochais C, Sébilleau M, Houdebine M, Bec P, Hausberger M, Henry S. A novel test for evaluating horses' spontaneous visual attention is predictive of attention in operant learning tasks.. Naturwissenschaften 2017 Aug;104(7-8):61.
    doi: 10.1007/s00114-017-1480-6pubmed: 28681089google scholar: lookup
  20. Carli M, Robbins TW, Evenden JL, Everitt BJ. Effects of lesions to ascending noradrenergic neurones on performance of a 5-choice serial reaction task in rats; implications for theories of dorsal noradrenergic bundle function based on selective attention and arousal.. Behav Brain Res 1983 Sep;9(3):361-80.
    doi: 10.1016/0166-4328(83)90138-9pubmed: 6639741google scholar: lookup
  21. Robbins TW. The 5-choice serial reaction time task: behavioural pharmacology and functional neurochemistry.. Psychopharmacology (Berl) 2002 Oct;163(3-4):362-80.
    doi: 10.1007/s00213-002-1154-7pubmed: 12373437google scholar: lookup
  22. Rivera E, Benjamin S, Nielsen B, Shelle J, Zanella AJ. Behavioral and physiological responses of horses to initial training: the comparison between pastured versus stalled horses. Appl. Anim. Behav. Sci. 2002;78:235–252.
    doi: 10.1016/S0168-1591(02)00091-6google scholar: lookup
  23. Barlow GW. Ethological units of behaviour. In The central Nervous System and fish Behaviour 217–232 (D Ingle, 1968).
  24. Maejima M. Traits and genotypes may predict the successful training of drug detection dogs. Appl. Anim. Behav. Sci. 2007;107:287–298.
    doi: 10.1016/j.applanim.2006.10.005google scholar: lookup
  25. Forster S, Lavie N. High perceptual load makes everybody equal: eliminating individual differences in distractibility with load.. Psychol Sci 2007 May;18(5):377-81.
    pubmed: 17576274doi: 10.1111/j.1467-9280.2007.01908.xgoogle scholar: lookup
  26. Cowan N. Attention and Memory. (Oxford University Press, 1997).
  27. Lemasson A, Boutin A, Boivin S, Blois-Heulin C, Hausberger M. Horse (Equus caballus) whinnies: a source of social information.. Anim Cogn 2009 Sep;12(5):693-704.
    doi: 10.1007/s10071-009-0229-9pubmed: 19449192google scholar: lookup
  28. Basile M, Boivin S, Boutin A, Blois-Heulin C, Hausberger M, Lemasson A. Socially dependent auditory laterality in domestic horses (Equus caballus).. Anim Cogn 2009 Jul;12(4):611-9.
    doi: 10.1007/s10071-009-0220-5pubmed: 19283416google scholar: lookup
  29. Altmann J. Observational study of behavior: sampling methods.. Behaviour 1974;49(3):227-67.
    doi: 10.1163/156853974X00534pubmed: 4597405google scholar: lookup
  30. Alkam T, Hiramatsu M, Mamiya T, Aoyama Y, Nitta A, Yamada K, Kim HC, Nabeshima T. Evaluation of object-based attention in mice.. Behav Brain Res 2011 Jun 20;220(1):185-93.
    doi: 10.1016/j.bbr.2011.01.039pubmed: 21277334google scholar: lookup
  31. Proops L, McComb K, Reby D. Cross-modal individual recognition in domestic horses (Equus caballus).. Proc Natl Acad Sci U S A 2009 Jan 20;106(3):947-51.
    doi: 10.1073/pnas.0809127105pmc: PMC2630083pubmed: 19075246google scholar: lookup
  32. Lampe JF, Andre J. Cross-modal recognition of human individuals in domestic horses (Equus caballus).. Anim Cogn 2012 Jul;15(4):623-30.
    doi: 10.1007/s10071-012-0490-1pubmed: 22526687google scholar: lookup
  33. Kiley-Worthington M. The tail movements of ungulates, canids and felids with particular reference to their causation and function as displays. Behaviour 1976;56:69–115.
    doi: 10.1163/156853976X00307google scholar: lookup
  34. Blois-Heulin C. Variability in social visual attention in the red-capped mangabey (Cercocebus torquatus torquatus) and the grey-cheeked mangabey (Cercocebus albigena albigena).. Folia Primatol (Basel) 1999 Sep-Oct;70(5):264-8.
    doi: 10.1159/000021705pubmed: 10567831google scholar: lookup
  35. WILKINSON RT. INTERACTION OF NOISE WITH KNOWLEDGE OF RESULTS AND SLEEP DEPRIVATION.. J Exp Psychol 1963 Oct;66:332-7.
    doi: 10.1037/h0044161pubmed: 14051850google scholar: lookup
  36. Spinelli S, Pennanen L, Dettling AC, Feldon J, Higgins GA, Pryce CR. Performance of the marmoset monkey on computerized tasks of attention and working memory.. Brain Res Cogn Brain Res 2004 Apr;19(2):123-37.
    doi: 10.1016/j.cogbrainres.2003.11.007pubmed: 15019709google scholar: lookup
  37. Kienapfel K, Link Y, König V Borstel U. Prevalence of different head-neck positions in horses shown at dressage competitions and their relation to conflict behaviour and performance marks.. PLoS One 2014;9(8):e103140.
    doi: 10.1371/journal.pone.0103140pmc: PMC4121138pubmed: 25090242google scholar: lookup
  38. Ha RR, Ha JC. Integrative Statistics for the Social and Behavioral Sciences. (SAGE, 2011).
  39. Siegel S, Castellan NJ. Nonparametric statistics for the behavioral sciences. (McGraw-Hill, 1988).
  40. Benjamini Y, Hochberg Y. On the Adaptive Control of the False Discovery Rate in Multiple Testing With Independent Statistics. J. Educ. Behav. Stat. 2000;25:60–83.
    doi: 10.3102/10769986025001060google scholar: lookup

Citations

This article has been cited 10 times.
  1. Hole C, Murray R, Marlin D, Freeman P. Equine Behavioural and Physiological Responses to Auditory Stimuli in the Presence and Absence of Noise-Damping Ear Covers.. Animals (Basel) 2023 May 8;13(9).
    doi: 10.3390/ani13091574pubmed: 37174609google scholar: lookup
  2. Janicka W, Wilk I, Próchniak T, Janczarek I. Can Sound Alone Act as a Virtual Barrier for Horses? A Preliminary Study.. Animals (Basel) 2022 Nov 15;12(22).
    doi: 10.3390/ani12223151pubmed: 36428379google scholar: lookup
  3. Scopa C, Maglieri V, Baragli P, Palagi E. Getting rid of blinkers: the case of mirror self-recognition in horses (Equus caballus).. Anim Cogn 2022 Aug;25(4):711-716.
    doi: 10.1007/s10071-022-01638-0pubmed: 35704243google scholar: lookup
  4. Hassett TC, Hampton RR. Control of Attention in Rhesus Monkeys Measured Using a Flanker Task.. Atten Percept Psychophys 2022 Oct;84(7):2155-2166.
    doi: 10.3758/s13414-022-02452-zpubmed: 35174464google scholar: lookup
  5. Pougnault L, Cousillas H, Heyraud C, Huber L, Hausberger M, Henry L. Experimental Tests for Measuring Individual Attentional Characteristics in Songbirds.. Animals (Basel) 2021 Jul 29;11(8).
    doi: 10.3390/ani11082233pubmed: 34438691google scholar: lookup
  6. De Castro V, Girard P. Location and temporal memory of objects declines in aged marmosets (Callithrix jacchus).. Sci Rep 2021 Apr 28;11(1):9138.
    doi: 10.1038/s41598-021-88357-7pubmed: 33911122google scholar: lookup
  7. Stomp M, d'Ingeo S, Henry S, Lesimple C, Cousillas H, Hausberger M. EEG individual power profiles correlate with tension along spine in horses.. PLoS One 2020;15(12):e0243970.
    doi: 10.1371/journal.pone.0243970pubmed: 33315932google scholar: lookup
  8. Cai H, Dent ML. Attention capture in birds performing an auditory streaming task.. PLoS One 2020;15(6):e0235420.
    doi: 10.1371/journal.pone.0235420pubmed: 32589692google scholar: lookup
  9. Shavit-Cohen K, Zion Golumbic E. The Dynamics of Attention Shifts Among Concurrent Speech in a Naturalistic Multi-speaker Virtual Environment.. Front Hum Neurosci 2019;13:386.
    doi: 10.3389/fnhum.2019.00386pubmed: 31780911google scholar: lookup
  10. Stomp M, Leroux M, Cellier M, Henry S, Hausberger M, Lemasson A. Snort acoustic structure codes for positive emotions in horses.. Naturwissenschaften 2018 Sep 12;105(9-10):57.
    doi: 10.1007/s00114-018-1582-9pubmed: 30291452google scholar: lookup
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