A New Tool Tracks How People Talk to Their Pets

For many pet owners, talking to a dog or cat is part of an ordinary day. It might be praise, a question, a command, a nickname or a moment of frustration. Researchers at the University of Arizona wanted a dependable way to capture those everyday interactions instead of relying only on people’s memories or broad survey answers.

They created AURAL-Pet, short for audio-based understanding of relational animal-directed language. It is a coding system, meaning a structured checklist that researchers can use to label features in audio recordings. The checklist includes categories such as praise, questions, commands and frustration.

The study drew on recordings from four earlier studies that used an electronically activated recorder, or EAR. This smartphone app turns on at random times during the day and records what is happening nearby. Participants had agreed that recordings could be used for research, but they did not know that pet communication would be the research question.

The researchers identified 5,072 clips in which a dog or cat could be heard or was mentioned. Those clips came from 240 participants. According to the news coverage, the recordings suggested that pet owners spent one-tenth of their total talking time talking with their pets.

The recordings also showed that people did not all communicate with pets in the same way. For example, some people used a pet’s nickname in every clip of pet-directed speech, while others did not use a nickname at all. The supplied material does not give numerical results for the other types of speech.

To test whether the tool could be used consistently, two human coders independently scored the same clips. They marked each category as present or absent. The researchers found that 22 of the 23 yes-or-no variables were reliable, suggesting that different coders generally agreed when using the checklist.

That result is important because it gives future studies a more consistent way to describe real-life pet interactions. The researchers hope AURAL-Pet can help explore whether different communication styles are connected with mental health and well-being outcomes in people.

But this study did not test whether talking with a pet changes loneliness, depression, mental health or physical health. It also did not show that pet ownership itself improves well-being. The researchers noted that past studies of the so-called “pet effect” have had mixed results, with some finding links to less loneliness or depression and others finding little or no effect.

The findings therefore are about measurement first. They show that researchers can reliably identify many forms of pet-directed speech in everyday audio recordings. A next step would be to use this tool in studies that directly measure well-being and examine whether particular patterns of interaction are linked with those outcomes. That kind of research would still need to separate a link between two things from proof that one causes the other.