Veröffentlichungen

Reading is an essential skill learned in early elementary years. Phonological decoding, the ability to sound out written words, is central to the cognitive process of reading. Deficits inphonological decoding can lead to low comprehension. Research shows that higher levels of attention, engagement, & positive emotions from teachers lead to better student outcomes. The present […]

Abstract This study explores artificial intelligence (AI) applications in menu design optimization within hospitality management. Grounded in choice architecture, arousal and S-O-R theories, it examines how AI-optimized/ menus influence consumer dining behaviors and physiological responses. Based on a baseline menu, ChatGPT enhanced it into three themes: sustainable, healthy, and mixed. A controlled laboratory experiment with […]

Abstract Relationship quality is typically assessed using self-report questionnaires, which are time-consuming and may not fully capture interpersonal processes during interaction. Automated facial expression analysis provides an opportunity to study nonverbal behavior during naturalistic interactions in a more objective and continuous manner. We characterize dyadic facial synchrony from video-based facial action unit time series and […]

Abstract Trypophobia is often described as an aversion to clusters of holes. While previous research has identified the emotions involved in trypophobia, most studies have relied on self-report ratings. Our study is the first to examine facial expressions involved in trypophobia and how they relate to self-reported emotion ratings. We contrasted disgust and fear expressions […]

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, […]

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 […]

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 […]

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 […]

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 […]

Driver emotion significantly impacts traffic safety, driving behavior, and driving experience, often being directly influenced by different driving scenarios. To explore this relationship, we present EmoRoad, a multimodal dataset capturing emotional, physiological, and behavioral responses under diverse driving scenarios. These scenarios are defined by three dimensions, each with two conditions: road scenario (urban/suburban), traffic density […]