Customer Stories
Our customers work across industries and application areas. Any study or research that involves humans is a possible use case for iMotions. We enable insights into the human mind and behavior in almost any scenario.
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Your Brain on Music
Online music popularity can be predicted from the similarity in brain activity of a relatively small sample size.
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Studying Food Reward with Biometrics
Food is more than just a source of energy and nutrition. It can also evoke emotions, memories, and preferences that influence our choices and behaviors. But how can we measure these subjective aspects of food consumption? In this article, we will explore how biometrics can help us understand the complex relationship between food and reward.
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Checkmate: The power of implicit factors in negotiation
In a series of research projects over the past decade, MIT researcher & professor Jared Curhan and his team have used iMotions to examine physiological and nonconscious cues during negotiation. One of their many discoveries is that paraverbal social signals during the first 5 minutes of a negotiation accounted for 30% of the variance in economic outcomes.
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Automated Facial Expression Analysis speeds up Oxford University’s Experimental Psychology research
iMotions helps Oxford University address entirely new areas of research into emotional reactions in game theory contexts through automated facial expression analysis.
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20% profit boost from menu redesigns – thanks to eye tracking
Texas A&M University collaborates with restaurants to optimize their menu redesigns using iMotions.
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Award-winning Game Design Research
Dr. Alessandro Canossa at Northeastern University conducts sophisticated player behavior studies using iMotions in a fraction of the time as compared to before iMotions. He’s won a best paper award for this work.
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Acceleration of research output and increased marketability
Roger Azevedo has co-authored over 30 publications on human behavior research using iMotions.
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Faster and Improved Human Factors Research
In the DEPICT LAB at Luleå University of Technology, Dr. Camilla Grane, Professor Bjarne Bergquist, and Dr. Peter Törlind may have three distinct research areas, but their use of iMotions for human factors research connects them in one unified lab where they can share resources and publish faster.
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Innovative neuroeconomics research at Texas A&M
Professor Marco Palma and the Human Behavior Lab at Texas A&M University are pioneering research in neuroeconomics with iMotions, leading to fast-scaling experiments about how we engage with food and self-regulate.
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Weeding out deceitful responses in online surveys
Failing to successfully exclude deceitful survey respondents could potentially set research, branding, and/or marketing endeavors on the wrong path to the detriment of time, cost, and effort. Researchers at the University of South Florida evaluated respondents’ facial expressions using iMotions to find signs of “bad actors.”
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Using eye tracking and facial expression analysis to evaluate political campaigns
Getting elected into office requires exposure. This case study looks into the efficacy of election posters using Eye Tracking, FEA and GSR to evaluate poiltical campaigns.
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Studying Presence and Immersive Storytelling in VR
How do you measure presence in Virtual Reality? That’s what Dr. Arindam Dey at the University of Queensland has set out to do with biosensors and iMotions.
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Scalable, Interdisciplinary Behavioral Science Research at the University of Nebraska Omaha
The Commerce and Applied Behavior Lab (CAB Lab) is a converging point for researchers across departments.
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At Arizona State University, students and publications take center stage for behavioral science research
By implementing iMotions in the lab, Dr. Robert Atkinson has been able to reallocate more budget to conducting and publishing research, since the software allows for a shift away from highly technical programming skills towards carrying out experiments.
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The Science of Online Dating
iMotions client Tom van Bommel of Unravel Research in The Netherlands, set out to investigate how different features in an image can affect the desirability of a potential match when using Tinder.
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