Press "Enter" to skip to content

Posts published in “Researcher feature update”

Feature Change: Previewing Your Study

Before publishing your study, the “preview study” button allows you to sit through your study to catch any mistakes and get a feel for what the participant will experience. We are introducing a change that makes the study preview even more like the session that participants will see. The new study preview function will generate a FindingFive session in the…

Direct Participant Payment (USD and EUR only)

FindingFive now allows you to compensate participants directly and automatically! After you build your FindingFive study, you can recruit participants from anywhere–your hometown or across the world–and pay them all with just a few clicks! It’s simple – you load funds into your account, and we handle the rest. In this tutorial, we’ll tell you everything you need to know…

New Feature Preview: Mouse Tracking is Ready for Testing!

Tracking mouse movement on a trial allows researchers to get a glimpse into the decision-making process underlying participant responses. If only FindingFive supports mouse tracking as well…oh, hey! Mouse tracking is coming to FindingFive! Brain dead easy Following the same modular design of all stimuli and responses in a FindingFive study, implementing mouse tracking on FindingFive is brain dead easy…

Create “Compensation HITs” for Mechanical Turk Workers with Three Clicks!

Since the inception of our platform, FindingFive has always provided a relatively seamless experience of launching studies on Amazon Mechanical Turk as “Human Intelligence Tasks” (aka, HITs). Recently, we further improved this process by introducing the “New Session Wizard”, which has received positive feedback – thanks y’all! The integration of a FindingFive study with Mechanical Turk is in fact one…

You shall not pass (yet): Iteratively training participants with conditional branching on FindingFive

A typical learning experiment is usually split into two phases: a training phase, where participants get to familiarize themselves with the learning task, and a test phase, where the performance of participants is evaluated. In these situations, researchers usually want to know which participants are the learners – those who successfully “get” the learning task during the training phase, and…

Speeding up a study block by block

Most of the studies run on the FindingFive platform are meant to be completed in a relatively short amount of time. In fact, an average study created on FindingFive contains 190 trials, which will take an average participant about 30 minutes to finish (assuming 10-15 seconds per trial). Our platform have been able to handle studies of such sizes pretty…

Conditional Branching is coming to FindingFive!

Note that the code examples on this page are outdated. Please refer to the FindingFive study grammar for how to use conditional branching on FindingFive. A common design in many behavioral studies is to show participants different sequences of trials that are conditional on participants’ previous responses. For example, in a typical learning study that features a training phase and…

The mystery of extra MTurk workers

For researchers who run their FindingFive studies on the Mechanical Turk platform, you may have occasionally got more subjects than requested. For example, the researcher may have requested 10 participants, but at the end of a session, FindingFive reports 11 completed your study, and Amazon only has a record of 10 workers who completed your HIT. There’s one extra mechanical…

Introducing Property Inheritance

Hi there! We are excited to announce a handy new feature, called Property Inheritance, is now available to researchers on FindingFive. It is now possible to utilize parent-child relationships within stimuli, responses, or trial templates, where the children inherit all properties defined in their parents. For those of you who are familiar with object-oriented programming languages, this should already sound…

Extending the duration of an existing session

We have finally implemented (the first step) of a feature that many researchers have asked for – extending the end time of an active session. It happens. Sometimes participants are slow to show up. By the time they have finally decided to do a study, the session has ended. Then you’ll have to set up everything all over again. This…