2024

Alessandroni, N., Altschul, D., Bazhydai, M., Byers-Heinlein, K., Elsherif, M., Gjoneska, B., Huber, L., Mazza, V., Miller, R., Nawroth, C., Pronizius, E., Qadri, M. A. J., Šlipogor, V., Soderstrom, M., Stevens, J. R., Visser, I., Williams, M., Zettersten, M., & Prétôt, L. (2024). Comparative cognition needs big team science: How large-scale collaborations will unlock the future of the field. Comparative Cognition and Behavior Review, 19, 67–72. 

PDF Preprint

  • This article introduces the ManyManys Project while highlighting the importance of big team science in comparative cognition. The ManyManys Project brings together teams from all over the world who study animal cognition to run the same study across all of the species under investigat

 

Barela, J., Worth, Y., & Stevens, J.R. (2024). Impulsivity as a trait in domestic dogs (Canis familiaris): A systematic review and meta-analysis. Journal of Comparative Psychology, 138(1), 20–31.

PDF Data & code Preprint

  • This article is a systematic review and meta-analysis that explores whether we have evidence of impulsivity as a behavioral trait in dogs. At the moment, we don't have good evidence for impulsivity as a behavioral trait. This article was chosen as an APA Editor's Choice.
  • Check out the blog post on this article.

 

ManyDogs Project, Espinosa, J., Hare, E., Alberghina, D., Perez, B., & Stevens, J.R. (2024). Data from ManyDogs 1. Journal of Open Psychology Data, 12(1), 7.

PDF Data & code Preprint

  • This article publishes all of the data from the ManyDogs 1 project. It includes a data dictionary and all demographic, behavioral, and survey data about the dogs in the study. The data are freely available for anyone to analyze and report/publish on as long as they cite this paper.

2023

ManyDogs Project, Alberghina, D., Bray, E., Buchsbaum, D., Byosiere, S.-E., Espinosa, J., Gnanadesikan, G., Guran, C.-N. A., Hare, E., Horschler, D., Huber, L., Kuhlmeier, V. A., MacLean, E., Pelgrim, M. H., Perez, B., Ravid-Schurr, D., Rothkoff, L., Sexton, C., Silver, Z., & Stevens, J. R. (2022). ManyDogs Project: A big team science approach to investigating canine behavior and cognition. Comparative Cognition and Behavior Reviews, 18, 59-77.

PDF Preprint

  • This article introduces the ManyDogs Project by discussing the importance of studying canine behavioral science, situating ManyDogs among other examples of large-scale canine science, and describing the core aims of the ManyDogs Project.

 

ManyDogs Project, Espinosa, J., Stevens, J.R., Alberghina, D., Alway, H.E.E., Barela, J.D., Bogese, M., Bray, E.E., Buchsbaum, D. Byosiere, S.-E., Byrne, M., Cavalli, C. M., Chaudoir, L. M., Collins-Pisano, C., DeBoer, H.J., Douglas L.E.L.C., Dror, S., Dzik, M.V., Ferguson, B., Fisher, L., Fitzpatrick, H.C., Freeman, M.S., Frinton, S.N., Glover, M.K., Gnanadesikan, G.E., Goacher, J.E.P., Golańska, M., Guran, C.-N.A., Hare, E., Hare, B. Hickey, M., Horschler, D.J., Huber, L., Jim, H.-L., Johnston, A.M., Kaminski, J. Kelly, D.M., Kuhlmeier, V.A., Lassiter, L., Lazarowski, L., Leighton-Birch, J., MacLean, E.L., Maliszewska, K., Marra, V., Montgomery, L.I., Murray, M.S., Nelson, E.K., Ostojić, L., Palermo, S.G., Parks Russell, A.E., Pelgrim, M.H., Pellowe, S.D., Reinholz, A., Rial, L.A., Richards, E.M., Ross, M.A., Rothkoff, L.G., Salomons, H., Sanger, J.K., Santos, L., Shirle, A.R., Shearer, S.J., Silver, Z.A., Silverman, J.M., Sommese, A., Srdoc, T., St. John-Mosse, H., Vega, A.C., Vékony, K., Völter, C.J., Walsh C.J., Worth, Y.A., Zipperling, L.M.I., Żołędziewska, B., & Zylberfuden, S.G. (2023). ManyDogs 1: A multi-lab replication study of dogs’ pointing comprehension. Animal Behavior & Cognition, 10(3), 232-286. 

PDF Data & code Preprint Registered report

  • This article describes ManyDogs 1, the first empirical study to come out of the ManyDogs Project that evaluates domestic dogs’ understanding of a common human gesture, the point.

 

Stevens, J.R. (2023). Canine Cognition and the Human Bond (Nebraska Symposium on Motivation Series, Vol. 69). Springer.

 

Stevens, J.R. (2023). Of dogs and bonds. In J.R. Stevens (Ed.), Canine Cognition and the Human Bond (pp. 1–10). Springer.

PDF

  • This chapter introduces the book Canine Cognition and the Human Bond.

2022

Arce, W. & Stevens, J. R. (2022). A precise dispenser design for canine cognition research. Journal of Open Hardware, 6(1) 2.

PDF Data R code Video Press GitHub

  • This paper describes how to use a 3D printer to build a treat dispenser that is remotely controllable as well as act as an experiment computation, data storage, and networking center.

 

Marvin, S., Sorenson, K., & Stevens, J.R. (2022). Bringing human-animal interaction to sport: Potential impacts on athletic performance. European Journal of Sport Science, 22(7), 955-963.

PDF Preprint

  • This paper highlights the potential benefits of studying human-animal interactions within the context of sport.

 

Stevens, J.R., Mathias, M., Herridge, M., Hughes-Duvall, K., Wolff, L. M., & Yohe, M. (2022). Do owners know how impulsive their dogs are? Animal Behavior & Cognition, 9(3), 261-286.

PDF SM Data & code Preprint

  • This paper demonstrates that owner perceptions of dog impulsivity do not predict how far the dogs were willing to travel for food.

 

Thayer, E.R. & Stevens, J.R. (2022). Effects of human-animal interactions on affect and cognition. Human-Animal Interaction Bulletin, 10(2), 73-98.

PDF Data & code Preprint

  • This paper demonstrates that brief interactions with dogs can improve mood, stress, and anxiety but not attention and working memory.

2021

Stevens, J.R., Bosworth, M., Wolff, L.M., & Morstad, J. (2021). Dog and owner characteristics predict training success. Animal Cognition, 24(3), 219–230.

PDF SM Data & code Preprint

  • This paper demonstrates that dog disobedience, owner cognitive ability, and time spent training predicts a dog's success in passing the Canine Good Citizen obedience test.

2020

Arce, W. & Stevens, J.R. (2020). Developing a computer-controlled treat dispenser for canine operant conditioning. Journal of Open Hardware, 4(1), 6.

PDF Data R code Video GitHub

  • This paper describes how to retro-fit a Treat & Train treat dispenser with new electronics that allow it to be remotely controllable as well as act as an experiment computation, data storage, and networking center.