In today’s charitable landscape, numerous organizations compete for donors and their contributions.
This post dives into a recent study that we carried out, employing our web-based
facial expression analysis tool, FaceReader Online, to explore which emotions can influence donation
behavior.
We have changed our payment processing provider from PayPal to Stripe and made some internal updates to improve communication.
FaceReader Online is used by researchers, market and marketing agencies around the world. We’ve been talking to a few of them to see how FaceReader Online creates value in their projects. In this blog we share some experiences of our clients with our platform. Perhaps it will inspire you in your own research.
We are very happy to announce we have released a new functionality in FaceReader Online! It is now possible to use eye tracking to track where on the screen people are looking. Currently the beta version is available for everyone to use at no additional costs. Read about the basic steps and technology in this blog.
We are happy to announce that you can now use the latest and best-performing FaceReader 9 engine for your online research. In addition, low-quality recordings do not cost credits.
This blog summarizes the main findings of our recent UX paper on testing websites with FaceReader Online
This is a nice example of a student project that combined the functionalities of FaceReader and FaceReader Online to search for an expression of engagement.
In this blog we give some tips on how to optimize your research with FaceReader Online by giving good instructions to your participants.
We have simplified our pricing model and now also include yearly credit bundles.
We are hosting a webinar on the 25th of March from 16:00-16:45 CEST that will give a walk-through of our UX update.
Copyright ©
Human Insight Services B.V.
