Knowledge Base

Designing Your Study

Some people are very inexpressive in general, which means that average emotional scores can be low. However, when you make the right comparison relevant, differences are easily highlighted.

A Good FaceReader Online Study in a Nutshell

• Find a suitable research question
• Compare your results to a control video or group
• Find a good panel
• Give people clear instructions

Try to Instruct the Participants Well

Participating in a FaceReader Online study is very easy: participants do not have to install anything, but just have to give access to their camera. The video recordings are transferred via a secure connection to the FaceReader Online server. The recorder runs on HTML5, so it works with all modern web browsers. It also works on new Android devices; however, this is not optimal (e.g. due to the smaller screen and direction of camera).

To make sure you get a good recording, instruct your participants in advance. For example, strong back lighting should be avoided, or lighting from one side. Participants should also try not to move away from the camera, or be eating during the recording. FaceReader Online gives the recording a quality score based on the proportion of frames that could be analyzed.

Privacy by Design

Make sure you inform people well in advance of the study they will participate in. We include a standard informed consent before the camera is started. Our service is completely compliant with the European General Data Protection Regulation (GDPR). Nevertheless, not all participants may want to participate in a study where they are recorded. We also have a privacy by default design, where recordings are immediately deleted after analysis. In that case, no humans will ever see the recordings.

For more information and sample studies, visit www.facereader-online.com. You can also get a free trial account to see if it fits your project by sending an email to [email protected].

References

1. Loijens, L., & Krips, O. (2018). FaceReader Methodology Note. Noldus Information Technology. https://info.noldus.com/free-white-paper-on-facereader-methodology
2. Noldus Information Technology. (2016). FaceReader Online - Online expression analysis for market research. Available on request via [email protected].
3. Shapiro, S., & Krishnan, H. S. (2001). Memory-Based Measures for Assessing Advertising Effects: A Comparison of Explicit and Implicit Memory Effects. Journal of Advertising, 30(3), 1–13.
4. Galdi, S., Arcuri, L., & Gawronski, B. (2008). Automatic Mental Associations Predict Future Choices of Undecided Decision-Makers. Science, 321 (August), 1100–1103.
5. Morris, J. D., Woo, C., Geason, J. A., & Kim, J. (2002). The power of affect: Predicting intention. Journal of Advertising Research, 42(3), 7–17.
6. Lewinski, P., Fransen, M., & Tan, E. (2014). Predicting Advertising Effectiveness by Facial Expression in Response to Amusing Persuasive Stimuli. Journal of Neuroscience, Psychology, and Economics, 7(1), 1–14.
7. Rogers, J. & Macbeth, A. (2015). In-Market effectiveness of advertisements: Measured automatically with FaceReader. Noldus Information Technology. Available on request via [email protected].

Contact Information

International Headquarters

Noldus Information Technology bv
Wageningen, The Netherlands
Phone: +31-317-473300
Fax: +31-317-424496
Email: [email protected]

North American Headquarters

Noldus Information Technology Inc.
Leesburg, VA, USA
Phone: +1-703-771-0440
Toll-free: 1-800-355-9541
Fax: +1-703-771-0441
Email: [email protected]

Representation

Noldus Information Technology is also represented by a worldwide network of distributors and regional offices. Visit the Noldus website for contact information.

Source: EthoVision XT 18 - THC - Trial and Hardware Control, Noldus Information Technology