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What Happens in Flow, and How Do We Capture It?
Flow is not peak intensity but coordinated efficiency across brain and body. This article explains how flow emerges when challenge and skill align, and how it can be captured through synchronized multimodal data, EEG, ECG, EDA, and eye tracking, revealing stable attention, balanced arousal, and sustained performance. What is the “Flow State”? Being in “Flow”…
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Forensic Science: Leveraging Human Behavior Research to Go Beyond the Crime Scene
Discover how human behavior research is transforming forensic science. Learn how multimodal platforms like iMotions integrate eye tracking, EEG, GSR, and facial expression analysis to advance deception detection, eyewitness reliability, trauma response understanding, and offender profiling, offering a more rigorous, ethical alternative to the traditional polygraph. Forensic science has always been shaped by the tools…
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The Complete Guide to Eye Tracking with iMotions: Every Option, Compared
Screen-based trackers, wearable glasses, VR/XR headsets, and webcam-based eye tracking — what each one does, when to choose it, and how the 26+ supported devices compare. Executive Summary iMotions integrates with four broad categories of eye tracking: screen-based eye trackers for monitors and mobile devices; wearable eye tracking glasses for real-world studies; VR and XR…
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Affectiva vs. Open Source: Which Facial Coding AI Solution Delivers Better Results?
Compare Affectiva’s AFFDEX 2.0 with leading open-source facial coding tools. This study shows superior accuracy, face detection, and feature coverage across 10.5M frames, highlighting why commercial AI outperforms free alternatives for scalable, real-world emotion detection and research applications. Introduction The world of AI and emotion detection technologies have been gaining momentum for some time, and…
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Online Interviews: How to Best Measure Emotional Engagement & Valence Online
A Practitioner’s Guide to AI-Powered Biometric Research Online interviews often rely on self-report, but emotional engagement and valence are difficult to articulate. This article explores how iMotions and audEERING enable real-time, objective measurement of emotional responses through facial expression and voice analysis using standard webcams and microphones. Introduction: The Limits of What People Say Online…
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ECG (Electrocardiography) in iMotions: A Comprehensive Technical and Research Guide
Executive Summary Electrocardiography (ECG) measures the electrical activity of the heart through surface electrodes, enabling precise insight into cardiovascular dynamics and autonomic nervous system responses. From this signal, the iMotions platform derives core metrics such as heart rate (HR), inter-beat interval (IBI), and heart rate variability (HRV), which together form the foundation for analyzing physiological…
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EEG (Electroencephalography) in iMotions: A Comprehensive Technical and Research Guide
Executive Summary Electroencephalography (EEG) in iMotions enables the measurement of cortical electrical activity via scalp electrodes, fully integrated into the iMotions Lab multimodal research platform. Key capabilities include: Typical applications include: neuromarketing, academic psychology, HCI, human factors, and clinical research. 1. What Is EEG in iMotions? Electroencephalography (EEG) is the non-invasive physiological measurement of electrical…
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Detecting Drowsiness with 4 Validated Metrics
Drowsiness directly impacts safety, performance, and well‑being. Understanding drowsiness is critical in automotive and transportation safety, workplace and occupational health, aviation, clinical sleep research, consumer health, and human‑factors testing. Research focusing on shift work, (especially night shifts or long shifts) and long-duration tasks (e.g., performing surgeries, flying planes, driving trucks) often investigates drowsiness, sleepiness, fatigue,…
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How Biosensors Help Contextualize Type I and Type II Errors in Experimental Psychology Research
Biosensors do not eliminate Type I and Type II errors, but provide continuous, objective data that complements self-report measures. By adding temporal precision and multimodal evidence, they help researchers better distinguish noise from true effects and improve measurement validity in experimental psychology. To fully appreciate the implications of these advancements, a solid understanding of the…
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GSR/EDA (Electrodermal Activity) in iMotions: A Comprehensive Technical and Research Guide
Summary & Key Takeaways GSR (Galvanic Skin Response) also known as EDA (Electrodermal Activity), measures changes in skin conductance driven by eccrine sweat gland activity, controlled by the sympathetic nervous system. In iMotions, GSR/EDA is collected via integrations with Shimmer, BIOPAC, and PLUX Biosignals, with full time synchronization across multimodal data streams. The signal is…