Cutting-Edge Methods for Faster and Improved Human Factors Research

AcademiaCustomer case

Dr. Camilla Grane, Professor Bjarne Bergquist, and Dr. Peter Törlind at Luleå University use iMotions to improve the speed at which research can be done, and to develop new ways to explore previous research to uncover novel findings.


Case Story

How iMotions enabled Luleå University of Technology to overcome their challenges  


Luleå University has a strong research background in human factors research; the way in which we interact with the world and with each other, and how this can be improved.

Peter Törlind works specifically with group innovation, and looks at the way in which creativity can be facilitated in group work. Previously he has used motion coding, a laborious and time-extensive process, involving difficult synchronization attempts.

Camilla works with the way in which humans interact with machines, and how design can improve this interaction. This is primarily in the safety improvement domain, such as with the designing of gearboxes for cars. She has used some biometric tools before, but the reach of them has been limited, and synchronization has been a struggle.

Bjarne’s work is involved in human processes, particularly with how to improve environments for more efficacious outcomes. This has included, amongst many other studies, working with train dispatchers. He has wanted to measure “what happens, when it happens” which brought him to biometrics.


By setting up a joint, cutting-edge laboratory – The Depict Lab – each researcher has been able to advance their research capacity and capabilities. Having a single platform that synchronizes the sensors that they would like to use has provided a simpler route to carrying out advanced research.

The researchers also point out that the facility is also available to other researchers at the university, who may want to test out new ideas with cutting-edge biometric solutions. This has enhanced the reach of the department, by encouraging more interdisciplinary work to be carried out.


Peter Törlind is now able to carry out automatic facial expression analysis, as well as being afforded the option to bring in new sensors such as EEG, or GSR, if desired.

Camilla now has an automatic time-locked solution that can feature several different sensors, such as eye tracking, GSR, and EMG. The use of all of these sensors in one platform for long recordings (such as 30 minutes continuously) allows her to dissect crucial moments of respondent behavior.

Bjarne is now able to integrate multiple biometric tools such as GSR, EMG, eye tracking (and possibly even EEG) in an ecologically valid setting, providing real-world responses that can be quantified.

The researchers can now use EEG, GSR, EMG, eye tracking, facial expression analysis, ECG, and also PPG, within the iMotions platform. This includes a high-end 30Hz eye tracker, and smart glasses for mobile eye tracking. For EEG they have an OpenBCI headset, as well as the ABM B-Alert X10. For GSR and EMG they use Shimmer3 devices. They also have a StimTracker unit for sub-millisecond synchronization.

"If you have that kind of confidence in what you’re saying, you will have an easier time getting published, and getting your results through the general noise, I’m positive about that."

Prof. Bjarne Bergquist
Chaired Professor, Department of Business Administration, Technology and Social Sciences - Luleå University of Technology

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