Introduction: The aim of this study was to evaluate the engagement of aging dogs with a cognitively challenging and potentially frustrating task (the impossible task). Based on previous observations, we predicted that dogs showing signs of cognitive impairment in other cognitive tests and owner-completed questionnaires would show reduced engagement with the task.
Methods: In this task, dogs were shown a piece of food in a clear container that they could not open; time spent interacting with the container and the experimenter was measured. While the impossible task has not been used as a measure of frustration, the parameters of the test design creates a potential frustrate state, making this assessment appropriate. Thirty-two dogs enrolled in a longitudinal aging study participated in the study. Owners were asked to complete two cognitive dysfunction screening questionnaires (Canine Dementia Scale [CADES] and Canine Cognitive Dysfunction Rating Scale [CCDR]) as well a questionnaire assessing general frustration. Dogs participated in multiple measures of cognitive function as well the impossible task.
Results: Latency to disengage from the impossible task was faster for dogs with higher total (more impaired) CADES ( = 0.02) and total CCDR ( = 0.04) scores. Latency to disengage also correlated with decreased performance in cognitive tests observing social cues ( = 0.01), working memory ( ≤ 0.001), spatial reasoning and reversal learning ( = 0.02), and sustained attention ( = 0.02).
Discussion: The high correlation with several cognitive measures and the ease of administration of this test makes it a useful tool in evaluating canine cognitive dysfunction syndrome, however it is unclear if increased frustration or other cognitive processes are contributing to the observed changes.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848444 | PMC |
http://dx.doi.org/10.3389/fvets.2022.1052193 | DOI Listing |
Commun Chem
December 2024
Department of Sensory Analytics and Technologies, Fraunhofer Institute for Process Engineering and Packaging IVV, Freising, Germany.
Aroma compositions are usually complex mixtures of odor-active compounds exhibiting diverse molecular structures. Due to chemical interactions of these compounds in the olfactory system, assessing or even predicting the olfactory quality of such mixtures is a difficult task, not only for statistical models, but even for trained assessors. Here, we combine fast automated analytical assessment tools with human sensory data of 11 experienced panelists and machine learning algorithms.
View Article and Find Full Text PDFSensors (Basel)
November 2024
Biomechatronics Laboratory, Mechatronics Department, Escola Politécnica, University of São Paulo (EP-USP), São Paulo 05508-220, Brazil.
The prediction of the stability of future steps taken by a biped robot is a very important task, since it allows the robot controller to adopt the necessary measures in order to minimize damages if a fall is predicted. We present a classifier to predict the viability of a given planned step taken by a biped robot, i.e.
View Article and Find Full Text PDFPatterns (N Y)
November 2024
Princeton University, Princeton, NJ, USA.
Benchmarks and leaderboards are commonly used to track the fairness impacts of artificial intelligence (AI) models. Many critics argue against this practice, since it incentivizes optimizing for metrics in an attempt to build the "most fair" AI model. However, this is an inherently impossible task since different applications have different considerations.
View Article and Find Full Text PDFArch Clin Neuropsychol
November 2024
Division of Psychology, Department of Psychiatry, UT Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390-9044, USA.
Background: Breast cancer is the most prevalent cancer worldwide. Belgium shows high age-standardized incidence rates, but also high survival rates. Like many health outcomes, breast cancer has been associated with multiple factors of socioeconomic status.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!