Emotions

Emotions are what makes us human, and we all experience them. Emotion data provides crucial insights that allow researchers to gain insight in complex human behaviors in greater depth. Emotions can play a role in all kind of matters. For example, in the decisions we make whether or not to buy something, in food choices we make, and in how we interact with others.

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The 5 best ways to use FaceReader: a systematic review

Facial expressions offer a rich source of information about human emotions. In this study, Elisa Landmann examines the best ways to collect, handle, and analyze FaceReader data in different areas of research.
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Why you want to find out if your customers are bored

Emotions deeply influence our daily lives, shaping our moods and behaviors - including our decision making. That's why facial expression analysis is often used in consumer and behavior research.
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Using Baby FaceReader for automated analysis of infant emotions

What if you had a way to understand a baby's unspoken needs? Analyzing facial expressions in infants helps researchers and caregivers understand more about the early development of emotions and social interactions.
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Why you should use custom expressions in your facial expression analysis

Using custom expressions in facial expression analysis can unlock a deeper understanding of human behavior. How can you use custom expressions in different fields of research?
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Disclosure dilemma

Isabelle Leenders examined the influence of disclosures in influencer advertising on the brand attitudes and purchase intentions of young adults, mediated by their emotions and activation of persuasion knowledge.
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AI and deep learning: Responsible use of facial expression analysis

The European Parliament adopted its negotiating position on the first-ever regulation of AI. In this blog post, we explore how to use facial expression analysis responsibly and how it can contribute to scientific research.
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FaceReader and different scientific theories on emotion

In this blog post, Tess den Uyl, PhD, Peter Lewinksi, PhD, and Amogh Gudi, PhD from VicarVision outline how FaceReader is designed with scientific rigor and in accordance with responsible AI principles.
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How to measure emotions

Measuring or assessing emotions is not always straightforward and easy. How do we view the nature of emotions in the first place?
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Why so angry? The role of context and function in facial expression analysis

Why do respondents show an angry facial expression when evaluating a website or product, when there is no reason to expect them to actually be angry? Read more in this sequel to the blog post "How emotions are made".
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5 tips to optimize your facial expression analyses

Are you involved in emotion recognition and facial expression analysis? These 5 tips will guarantee the best results!