iMotions Blog
Veröffentlichungen
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2026 Southwestern Mass Communication Journal Open Access Peer-Reviewed
But How Many Likes Did You Get? An Eye-Tracking Study of Sponsored Instagram Influencer Posts
Baylor University
Abstract Marketers across a variety of contexts have increasingly turned to social media influencers (SMIs) to take advantage of their robust social networks to promote products and services. While research has focused on the perceived social relationship between SMIs and their followers, little attention has been given to the influence of social engagement cues, such […]
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2026 Scientific Reports Open Access Peer-Reviewed
Attentional biases in depression depend on social comparison priming and information valence in an eye-tracking study
The Maria Grzegorzewska University + 2 more
Abstract The experimental study examined automatic and volitional attention processes as function of social comparison priming (directional: upward differences, downward differences, similarities; and non-directional control) and the valence of information (i.e., positive vs. negative feature) about an unfamiliar person. A total of 209 individuals, including those clinically depressed and without the diagnosis, were exposed to […]
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2026 Transportation Research Part F: Traffic Psychology and Behaviour Open Access Peer-Reviewed
Pedestrian pushbutton use, signal compliance, and visual attention at signalized intersections
California State University Sacramento + 1 more
The underlying factors governing why pedestrians interact with pedestrian signals and pushbuttons the way they do can inform design guidance and modifications which encourage pedestrians to use infrastructure more safely and efficiently. Therefore, a recruited participant experiment using eye tracking technology was performed to explore pedestrian signal compliance and pushbutton use. A total of 48 […]
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American Journal on Addictions Gated Peer-Reviewed
Clinical applications of wearable devices for individuals with at‐risk substance use and substance use disorders: A systematic review
Centre for Addiction and Mental Health + 5 more
BACKGROUND AND OBJECTIVES: Managing substance use disorders (SUDs) is limited by the lack of longitudinal clinical data during active use and recovery. Wearable devices may help address this gap by capturing physiological and behavioral data in real-world settings. This review evaluated the feasibility and acceptability of wearable devices among individuals with SUDs. METHODS: A systematic […]
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2026 International Journal of Human–Computer Interaction Open Access Peer-Reviewed
Technostress-Aware Integrated Development Environments (TIDEs): A dataset for exploring technostress during programming
Birmingham City University + 1 more
Technostress is the mental strain experienced when digital technologies feel demanding or difficult to manage. Despite growing interest in technostress research, existingdatasets provide limited biometric emotional data from code-mediated activities. Thisarticle presents TIDE, a novel multimodal biometric dataset designed to supporttechnostress research during IDE-based programming. TIDE captures facial expressionbased emotional responses, gaze coordinates, programming phases, […]
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International Journal of Computer Information Systems and Industrial Management Applications Gated Peer-Reviewed
An Integrated AI Framework for Depression Detection Using Audio, Visual and Textual Data
B.E.S.T Innovation University + 2 more
Depression, as a mental health condition, often manifests through diverse verbal, non-verbal, and behavioral signals. Early and accurate detection of these indicators is critical to ensuring timely and effective intervention. This work introduces a multimodal Integrated AI framework for depression detection that uses: audio, visual, and textual data to improve classification performance. The proposed framework […]
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2026 Human Factors and Ergonomics Society Open Access Peer-Reviewed
Identifying Informative Psychophysiological and Gaze-Based Indicators for Inferring Human Cognition During Automated Driving: An Information-Theoretic Approach
Abstract We present an information-theoretic framework for identifying which physiological and eye-gaze-based indicators, and at what temporal scales, are most informative of cognition-related reliance behavior during conditionally automated (SAE Level 3) driving. We analyze data collected from an in-person driving simulator study in which participants interact with a conditionally automated vehicle in a single continuous […]
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2026 Behavioral Sciences Open Access Peer-Reviewed
Changes in Emotional and Vocal Expression in Job Interview Simulations with an AI-Enhanced Chatbot for University Students
Universidad Privada Boliviana
Abstract This study examined whether AI-powered chatbot-based training was associated with changes in university students’ Facial and Vocal Emotional Reaction Time Proportions during simulated job interviews. A one-group pretest–posttest design was conducted with 54 third- and fourth-year students enrolled in a Human Talent Management course at a private Latin American university. This study was implemented […]
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2026 Behavioral Sciences Open Access Peer-Reviewed
Changes in Emotional and Vocal Expression in Job Interview Simulations with an AI-Enhanced Chatbot for University Students
Universidad Privada Boliviana
Abstract This study examined whether AI-powered chatbot-based training was associated with changes in university students’ Facial and Vocal Emotional Reaction Time Proportions during simulated job interviews. A one-group pretest–posttest design was conducted with 54 third- and fourth-year students enrolled in a Human Talent Management course at a private Latin American university. This study was implemented […]
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2026 Machine Learning with Applications Open Access Peer-Reviewed
Facial morphology-based autism screening during attention assessment tasks: A dual-branch deep learning approach
Hamad bin Khalifa University + 1 more
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by challenges in communication, social interaction, and behavioral patterns. While early diagnosis remains crucial, there is a critical need for effective screening methods for school-age children, as many cases with nuanced presentations often go undetected during early childhood. This research presents a facial morphology-based computational […]
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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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.
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„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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APA
iMotions (10), iMotions A/S, Kopenhagen, Dänemark, (2024).
Hinweis: Passen Sie die Version und das Jahr gegebenenfalls an.