iMotions Blog
Veröffentlichungen
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2026 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Gated Peer-Reviewed
From Code to Cognition: Implementing a Puzzle-Based Game Framework for Biometric Analysis
University of Warsaw
Abstract: This paper presents a puzzle-based escape game developed in Unreal Engine 5 as a platform for studying cognitive load, emotional responses, and attentional focus during problem-solving. The experiment integrated gameplay telemetry with eye-tracking, GSR and webcam-based facial expression analysis, synchronized through iMotions. This multimodal approach enabled precise alignment of biometric signals with in-game events. […]
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2026 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Gated Peer-Reviewed
Facial Expression Analytics and Self-Report Measures in Technology-Integrated Nursing Simulation
Abstract: Medical errors rank among the leading causes of death, with medication administration errors contributing substantially to preventable harm. Simulation-based training, especially when integrated with cutting edge technologies such as electronic medical records (EMR) and barcode medication administration (BCMA), holds promise for enhancing nursing competency, patient safety, outcomes and reducing error rates. This study evaluated […]
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2026 Autism Open Access Peer-Reviewed
Discrepancies between feeling and expressing: Perceptions of autistic and non-autistic emotional expressions by non-autistic observers
University of Texas at Dallas + 1 more
Abstract Non-autistic observers often interpret autistic emotional expressions more negatively, though it is unclear whether this reflects observer bias or genuine differences in autistic people’s emotional experience and expression. To examine this, 20 autistic and 20 non-autistic adults reported the intensity of their felt emotion while re-experiencing video-recorded events eliciting mild and strong happiness, sadness, […]
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arXiv (Cornell University) Gated Peer-Reviewed
Mixture of Disentangled Experts with Missing Modalities for Robust Multimodal Sentiment Analysis
Beihang University + 3 more
Multimodal Sentiment Analysis (MSA) integrates multiple modalities to infer human sentiment, but real-world noise often leads to missing or corrupted data. However, existing feature-disentangled methods struggle to handle the internal variations of heterogeneous information under uncertain missingness, making it difficult to learn effective multimodal representations from degraded modalities. To address this issue, we propose DERL, […]
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2026 MDPI Modelling and Simulation of Transportation Systems Open Access Peer-Reviewed
User Interaction with Digital Twins for Driving: How Comparable Are Simulated and Real Trajectories?
University of Applied Sciences Hof + 4 more
Abstract This paper investigates the physiological responses of individuals driving both on a real route and within a vehicle simulator designed as a digital twin of that route. The analysis of observed data patterns in stress response bio signals provides sufficient evidence of similarity to validating the driving simulation digital twin as a reliable replacement […]
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2026 Social Science Quarterly Open Access Peer-Reviewed
Voters’ Facial Expression Analysis as a Complement to Traditional Election Polls: Affective Voting in Spanish National Elections in 2023
Universidad Rey Juan Carlos + 2 more
Abstract: Objectives This research jointly combines voters. biometric facial expression analysis while viewing images of candidates and party logos with traditional surveys to define and quantify novel indicators of affective voting. The paper explains the innovative methodology and analyzes the results of the experiment carried out before the 2023 elections in Spain to understand how […]
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2026 Social Science Quarterly Gated Peer-Reviewed
Voters’ Facial Expression Analysis as a Complement to Traditional Election Polls: Affective Voting in Spanish National Elections in 2023
ABSTRACT Objectives This research jointly combines voters. biometric facial expression analysis while viewing images of candidates and party logos with traditional surveys to define and quantify novel indicators of affective voting. The paper explains the innovative methodology and analyzes the results of the experiment carried out before the 2023 elections in Spain to understand how […]
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2026 Medical Education Online Open Access Peer-Reviewed
Comparison of cognitive workload between very short answer questions and multiple-choice questions: an eye-tracking experiment
University of Campinas + 8 more
Abstract: Very short answer questions (VSAQs) have gained attention for their superior psychometric properties compared to multiple-choice questions (MCQs). While VSAQs require knowledge recall, MCQs primarily involve knowledge recognition. This difference in cognitive processes may lead to varying cognitive workloads, defined as the amount of mental processing in working memory. Previous studies have not demonstrated […]
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2026 Sustainability Open Access Peer-Reviewed
Neuroscience and CSR: Using EEG for Assessing the Effectiveness of Branded Videos Related to Environmental Issues
University of Belgrade + 2 more
Abstract The majority of studies evaluating the effectiveness of branded CSR campaigns are concentrated and base their conclusions on data collection through self-reporting questionnaires. Although such studies provide insights for evaluating the effectiveness of CSR communication methods, analysing the message that is communicated, the communication channel used and the explicit brain responses of those for […]
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2026 Technologies Journal Gated Peer-Reviewed
Electrodermal Response Patterns and Emotional Engagement Under Continuous Algorithmic Video Stimulation: A Multimodal Biometric Analysis
Abstract Excessive use of short-form video platforms such as TikTok has raised growing concerns about digital addiction and its impact on young users’ emotional well-being. This study examines the relationship between continuous TikTok exposure and emotional engagement in young adults aged 20–23 through a multimodal experimental design. The purpose of this research is to determine […]
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.
iMotions – Wissenschaftliche Ressourcen
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Über 850 Hochschulen weltweit mit einem iMotions-Labor zur Erforschung des menschlichen Verhaltens
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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).
Wir möchten Sie daher bitten, die Verwendung von iMotions an geeigneter Stelle anzugeben.
Wie zitiert man iMotions?
APA
iMotions (10), iMotions A/S, Kopenhagen, Dänemark, (2024).
Hinweis: Passen Sie die Version und das Jahr gegebenenfalls an.