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It’s not only what is said, but how: how user-expressed emotions predict satisfaction with voice assistants in different contexts
Purpose Voice assistants (VAs) have reshaped customer service by offering new interaction channels. This study explores how user-expressed emotions during interactions with multimodal and voice-only devices across different contexts affect satisfaction. Capturing user emotions via voice tone and speech content analysis, we show that both device type and usage context are crucial in shaping user […] -
Modeling Students’ Emotions in Computing Education: A Context-Specific Multi-Modal Approach
Emotions are context-specific and unfold dynamically during tasks such as programming. However, most emotion recognition systems are built using generic data and often overlook contextual nuances. This dissertation bridges affective computing and computing education by developing a context-specific, multi-modal dataset that integrates physiological, behavioral, and self-report data from programming students. Building on this dataset, I […] -
Processing every bite: A neuroscientific analysis of the eating experience and its cognitive and emotional dynamics
Our eating experiences are largely shaped by brain perceptions rather than the intrinsic qualities of the food itself. Therefore, to provide a comprehensive analysis of these experiences and their impact on our cognitions and emotions, it is essential to assess their neural underpinnings. This research employed a consumer neuroscience approach, integrating neuroscientific techniques with self-report […] -
Challenges of Applying Computer Vision for Emotion Detection in Educational Settings: A Study on Bias
Understanding students’ emotions is important for creating adaptive learning environments. Advanced computer vision models like HSEmotion and EMONET are used for real-time emotion detection, but their effectiveness in real educational settings is insufficiently explored. Typically trained on adult datasets in controlled environments, these models encounter challenges due to varying camera angles, lighting, resolution, and skin […] -
Emotional Manipulation in Phishing Emails: Experimental Study of Affective Responses and Human Classification Errors in a Simulated Email Environment
Phishing emails are a type of social engineering designed to extract sensitive information from individuals and organizations. Phishing attacks can exploit psychological mechanisms—such as fear and urgency—to trigger impulsive decision-making and security errors. Given the growing threat of phishing in recent years, this paper investigates emotional manipulation through phishing emails by examining affective and behavioral […] -
Acceptance, Usability, and Emotions- An Extension of the UTAUT Designed for AI Virtual Assistants in the Context of Housing Modernization
The integration of AI virtual assistants (AIVAs) into daily life raises critical questions about acceptance, usability, and emotional reactions. This paper explores these constructs within the context of the German state-funded KIMM project, which investigates the use of AIVAs to support the modernization of rental housing stock. To better understand users’ interactions with AIVAs, we […] -
Investigating Cognitive Strategies in a Mental Rotation Task using Eye Tracking Heat Maps
This research explores the use of heat maps derived from eye-tracking data to identify cognitive strategies in mental rotationtasks. Traditional methods like eye-tracking metrics and interviewshave limitations in capturing the full spectrum of strategy use. Wepropose heat maps as a novel methodology to bridge the gapbetween behavioral outputs and cognitive processes. Ourpreliminary findings demonstrate distinct […] -
Similar Facial Expression Responses to Advertising Observed Across the Globe: Evidence for Universal Facial Expressions in Response to Advertising
Effective measurement of audiences’ emotional responses has become a key need in advertising and content research. Analysis of facial responses has become a widespread tool to do so. However, there has been doubt expressed by some authors about the degree to which facial expressions are universal signals of emotional state. Most of the literature exploring […] -
Eye-Tracking in Digital Pathology: A Vendor-Agnostic Platform for Standardized and Reproducible Eye-Tracking Studies
Eye-tracking technology has been increasingly utilized in various medical domains, yet its adoption in pathology remains limited. The lack of standardized methodologies and the complexity of analyzing whole-slide images pose significant challenges for applying eye-tracking in this domain. Existing studies often rely on proprietary and heterogeneous software solutions, reducing reproducibility and comparability of results across […] -
Emotion Detection on User Front-Facing App Interfaces for Enhanced Schedule Optimization: A Machine Learning Approach
Human-Computer Interaction (HCI) has evolved significantly to incorporate emotion recognition capabilities, creating unprecedented opportunities for adaptive and personalized user experiences. This paper explores the integration of emotion detection into calendar applications, enabling user interfaces to dynamically respond to users’ emotional states and stress levels, thereby enhancing both productivity and engagement. We present and evaluate two […]
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