New preprint: choosing a behavioral observation app

Our lab has a new preprint out! Led by Hobson Lab Postdoc Annemarie van der Marel, we weighed the pros and cons of six behavioral observation apps.

We’ve had the idea for this paper in mind ever since Annemarie went through the app selection process in Feb 2020 to figure out our data collection protocols for our first parakeet field season. If you are thinking about collecting behavioral data via an app (and especially if you are looking for a mobile, field-friendly format) check out our pros and cons! We also have worked examples of the setup (and a couple easy hacks) in the supplement.

Great job leading this effort Annemarie! And congratulations to the whole team (all four of my current PhD students!) for all of their work on the project. 

Link to preprint: https://arxiv.org/abs/2103.07576 

Abstract

In the field of animal behavior and behavioral ecology, many standardized methods to observe animal behavior were established approximately 50 years ago. While the protocols are similar, behavioral researchers can take advantage of technological advancements to enter observations directly onto a handheld computer (phone, tablet, etc.), saving precious time. However, we now have the choice between many different platforms for recording behavioral observations. Our challenge is choosing the most appropriate platform that fits a particular study question, research design, budget, and desired amount of preparatory time. Here, we review six software applications for handheld computers that are available for real-time entry of behavioral observations: Animal Behaviour Pro, Animal Observer, BORIS, CyberTracker, Prim8, and ZooMonitor. We discuss the preliminary decisions that have to be made about the study design and we assess the six applications by reviewing 1) which behavioral sampling methods are possible per platform, 2) the setup and data collection routines, 3) the data output format, and 4) how to customize certain platforms so they will work more effectively for particular study aims or sampling methods. Our goal is to help researchers make calculated decisions about what behavioral observation platform is best for their study system and question.