iMotions Blog
Veröffentlichungen
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2020 Expert Systems Gated Peer-Reviewed
Rational, Emotional, and Attentional Choice Models for Recommender Systems
University of Santiago de Compostela + 1 more
Abstract: This work analyzes the decision-making process underlying choice behavior. First, neural and gaze activity were recorded experimentally from different subjects performing a choice task in a Web Interface. Second, choice models were fitted using rational, emotional and attentional features. The model’s predictions were evaluated in terms of their accuracy and rankings were made for […]
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2020 Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Communication, Organization and Work Open Access Peer-Reviewed
IMotions’ Automatic Facial Recognition and Text-Based Content Analysis of Basic Emotions and Empathy in the Application of the Interactive Neurocommunicative Technique LNCBT (Line and Numbered Concordant Basic Text)
Universidad Complutense de Madrid + 2 more
This research paper focuses on the effectiveness of the Line Numbered Concordant Basic Text (LNCBT) of Narcotics Anonymous as an interactive neurocommunicative and gamificated technique to generate empathic emotions through its process and application. The LNCBT is studied as an effective educational, neurocommunicational and behavioral change technique for recovery from addictions. Firstly, it was analyzed […]
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2020 Behavioral Decision Making Gated Peer-Reviewed
The heterogeneous processes of cheating: Attention evidence from two eye tracking experiments
Consumer Insights, Danish Competition and Consumer Authority + 2 more
Dishonesty erodes society. Although much is known about dishonesty, the process leading up to the decision of whether to be honest or dishonest is often assumed to be homogenous and is not well understood. In this paper, we take a more nuanced approach and explore more closely the process of deciding whether to cheat or […]
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2020 Transactions of the Korean Nuclear Society Virtual Spring Meeting Open Access Peer-Reviewed
Performance Estimation using Deep Learning Based Facial Expression Analysis
Korea Advanced Institute of Science and Technology
Scientists now widely accept that it is important for nuclear accident analysis to consider human error in addition to the failure of safety device. Investigating human factors in nuclear accidents is a continuing concern within the field of nuclear safety and human engineering. To reduce human error and to improve human performance, there have been […]
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2020 HCI International 2020 Open Access Peer-Reviewed
Facing Driver Frustration: Towards Real-Time In-Vehicle Frustration Estimation Based on Video Streams of the Face
Institute of Transportation Systems
Drivers frequently experience frustration when facing traffic jams, red lights or badly designed in-vehicle interfaces. Frustration can lead to aggressive behaviors and negative influences on user experience. Affect-aware vehicles that recognize the driver’s degree of frustration and, based on this, offer assistance to reduce the frustration or mitigate its negative effects promise remedy. As a […]
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2020 Artificial Intelligence in Education Open Access Peer-Reviewed
Modeling the Relationships Between Basic and Achievement Emotions in Computer-Based Learning Environments
Vanderbilt University + 2 more
Commercial facial affect detection software is typically trained on large databases and achieves high accuracy in detecting basic emotions, but their use in educational settings is unclear. The goal of this research is to determine how basic emotions relate to the achievement emotion states that are more relevant in academic settings. Such relations, if accurate […]
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2020 Planning Practice & Research Gated Peer-Reviewed
Using Eye-Tracking to Understand Human Responses to Traditional Neighborhood Designs
Tufts University + 1 more
New research in brain and cognitive science is changing how we understand how people perceive and experience the built environment, offering key opportunities for urban planning, urban design, and architecture. Sixty-three college students looked at different scenes of New York City public buildings in a set up with an eye tracker in front of a […]
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2020 International Journal of Research in Marketing Gated Peer-Reviewed
Service with a smiley face: Emojional contagion in digitally mediated relationships
University of Tennessee
Abstract: The lack of typical nonverbal cues in digitally mediated marketing communication (e.g., text messages, social media etc.) creates special challenges for marketers desiring to manage customer relationships. To overcome these limitations, marketers have turned to emojis to convey subtle meaning regarding the message sender (often a service provider) and to elicit positive emotion in […]
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2020 Emotions and Society Open Access Peer-Reviewed
A post-paradigmatic approach to analysing emotions in social life
University of Queensland + 2 more
Scholars studying emotions in social life typically work mono-logically, within a paradigmatic camp, drawing on distinct theories of emotion. In isolation, each offers a singular conceptualisation of emotions in social life. Working multi-logically, in contrast, offers richer, comparative insight into the layered meanings of emotion relevant to a social context. Rather than treating them as […]
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2020 Food Research International Gated Peer-Reviewed
Influences of sensory attribute intensity, emotional responses, and non-sensory factors on purchase intent toward mixed-vegetable juice products under informed tasting condition
University of Arkansas
Abstract: Product-related sensory and non-sensory cues have been studied in the past to understand purchase behavior among consumers. However, there has been little research related to integrating emotional responses with such cues to achieve better prediction of consumer purchase behavior. This study aimed to determine the impacts of sensory attribute intensities (SAI), non-sensory factors (NSF), […]
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