iMotions Blog
Veröffentlichungen
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2023 BMJ Open Open Access Peer-Reviewed
Examination of gaze behaviour in social anxiety disorder using a virtual reality eye-tracking paradigm: protocol for a case–control study
VIRTU Research Group, Copenhagen Research Centre on Mental Health (CORE) + 1 more
Social anxiety disorder (SAD) has an early onset, a high lifetime prevalence, and may be a risk factor for developing other mental disorders. Gaze behaviour is considered an aberrant feature of SAD. Eye-tracking, a novel technology device, enables recording eye movements in real time, making it a direct and objective measure of gaze behaviour. Virtual […]
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2023 Drug and Alcohol Dependence Gated Peer-Reviewed
Effects of pictorial warning labels depicting lesser-known and well-known risks of smoking on viewing patterns, recall, and knowledge of smoking harms
Center for Interdisciplinary Research on Nicotine Addiction, Department of Psychiatry, University of Pennsylvania + 1 more
In 2019, the Food and Drug Administration introduced 11 pictorial warning labels (PWLs) for inclusion on cigarette packages, created in compliance with court recommendations and tailored to increase knowledge of smoking harms. Several highlighted lesser-known risks of smoking. No behavioral studies have yet evaluated how risk content in PWLs impacts viewing patterns, recall, and knowledge […]
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2023 i-com Open Access Peer-Reviewed
DUX: a dataset of user interactions and user emotions
Nuremberg Institute of Technology
User experience evaluation is becoming increasingly important, and so is emotion recognition. Recognizing users’ emotions based on their interactions alone would not be intrusive to users and can be implemented in many applications. This is still an area of active research and requires data containing both the user interactions and the corresponding emotions. Currently, there […]
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2023 Research in Science & Technological Education Gated Peer-Reviewed
Using facial emotion recognition to research emotional phases in an inquiry-based science activity
Complutense University of Madrid + 2 more
Background Observational and declarative approaches applied by human observers have dominated the study of emotions, engagement, and attention. However, these approaches are susceptible to biases such as social desirability. Additionally, declarative approach cannot measure these parameters in real-time. Purpose This study aims to apply Facial Emotion Recognition (FER) technology in an inquiry-based activity to address […]
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2023 International Conference on Human-Computer Interaction Gated Peer-Reviewed
Systematic Evaluation of Driver’s Behavior: A Multimodal Biometric Study
University of Padua + 1 more
Abstract Complex traffic areas and high cognitive workload while driving are leading contributors to traffic crashes. Even though cognitive workload and stress have been previously assessed through various neurophysiological responses, they are rarely characterized simultaneously, limiting the triangulation of behavioral metrics (like drivers’ visual attention and facial coding) with physiological measures to investigate their interplay. […]
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2023 Modern Psychological Studies Open Access Peer-Reviewed
Alpha band prefrontal asymmetry does not underlie pain approach-avoidance: Results from two EEG studies approach-avoidance: Results from two EEG studies
Tarleton State University + 3 more
Pain research is often focused on escape from pain or approach of relief, yet individuals with chronic pain make complex choices to face their pain to satiate other drives (approach-avoidance conflicts). An abundance of research has indicated that prefrontal alpha band asymmetry (PFA) underlies approach-avoidance in general, but there is limited information about whether PFA […]
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2023 Engineering Proceedings Open Access Peer-Reviewed
EEG-Based Neural Synchrony Predicts Evaluative Engagement with Music Videos
Tilburg University, School of Humanities and Digital Sciences + 1 more
The use of neuroimaging to predict individual and population-wide behaviors, also known as neuroforecasting, was long applied to estimate movie popularity. Only recently, EEG-based neural synchronization, which is indicative of engagement, was found as a valid predictor of the listening behavior of the population. However, the population’s evaluative responses to the songs were not incorporated. […]
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2023 National Institute for Congestion Reduction, University of South Florida Open Access Peer-Reviewed
Examining the Impact of Stress and Fear of COVID-19 on Transit Travel
Texas A&M University + 1 more
The COVID-19 pandemic altered daily life by forcing governments to issue measures for the prevention of the spread of the disease such as stay-at-home orders, requiring face coverings, and maintaining physical distancing, among others. This caused a significant disruption in every aspect of people’s lives. This disruption was prominent in the transportation sector where travel […]
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2023 HCI International 2023 Posters Open Access
The Process of Creating Interactive 360-Degree VR with Biofeedback
University of Southern Denmark
The paper aims to demonstrate the interconnectedness of filmmaking techniques and iterative software design methods during the creation of interactive 360-degree Virtual Reality (VR) scenarios. These scenarios, which were designed to treat social anxiety disorder (SAD), comprised of six distinct simulations. To track patients‘ biodata, biosensors were integrated with the developed scenarios. In the paper, […]
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2023 Machine Learning & Knowledge Extraction Open Access Peer-Reviewed
Using Machine Learning with Eye-Tracking Data to Predict if a Recruiter Will Approve a Resume
Texas A&M University
When job seekers are unsuccessful in getting a position, they often do not get feedback to inform them on how to develop a better application in the future. Therefore, there is a critical need to understand what qualifications recruiters value in order to help applicants. To address this need, we utilized eye-trackers to measure and […]
Forschungsbericht 2025
Ein detaillierter Einblick in die wissenschaftliche Landschaft, unterstützt durch die iMotions-Software, mit einem Überblick über bahnbrechende Forschungsergebnisse und die Auswirkungen unserer Tools in verschiedenen wissenschaftlichen und industriellen Bereichen.
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Über 710 veröffentlichte Forschungsarbeiten unter Verwendung von iMotions
iMotions wird für einige der interessantesten Forschungsstudien zum menschlichen Verhalten eingesetzt, die von Spitzenforschern auf der ganzen Welt durchgeführt werden. Kontaktieren Sie uns, damit Ihre Veröffentlichung hier vorgestellt wird.
Die Autoren dieser Veröffentlichungen haben iMotions im Rahmen ihrer Forschung als Software-Tool eingesetzt.
„Software sollte auf derselben Grundlage zitiert werden wie jedes andere Forschungsergebnis, beispielsweise ein Artikel oder ein Buch; das heißt, Autoren sollten die entsprechenden Softwareprodukte genauso zitieren wie die entsprechenden Artikel“ (Katz et al., 2020).
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iMotions (10), iMotions A/S, Kopenhagen, Dänemark, (2024).
Hinweis: Passen Sie die Version und das Jahr gegebenenfalls an.
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