Veröffentlichungen

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 Background: The ongoing nursing shortage, COVID-19 pandemic, and advances in healthcare technology have accelerated the adoption of Virtual Nursing Care Models (VNCM) in inpatient settings. Although virtual nurses improve staffing efficiency, there is limited evidence on how patients interact and communicate during virtual and bedside nurse discharge education. Objective: This study examined differences in […]

Abstract This study explores the feasibility of conducting remote biometric research on video ads as an alternative to laboratory-based studies. It investigates whether this approach can be an effective and manageable testing standard, especially during pandemic conditions. The study focuses on measuring the reception of video ads from prominent technology companies using biometric and declarative […]

Multimodal affect and behaviour classifiers that fuse heterogeneous text, audio, and visual streams must simultaneously achieve competitive accuracy and produce human-understandable explanations of the cues driving their decisions — a dual objective that current high-capacity models, notably Transformers, only partially address. While Transformers attain strong predictive performance, their distributed representations and deep nonlinearity make it […]

Background Immersive technologies combined with artificial intelligence (AI) offer promising opportunities for enhancing English as a foreign language (EFL) learning; however, empirical evidence on their integrated effects on language proficiency, intercultural competence, and learner engagement remains limited, particularly from an educational psychology perspective. Methods A quasi-experimental design was implemented with undergraduate EFL learners assigned to […]

While emotional neutrality (e.g., maintaining a neutral face, speaking with a calm voice) can help entrepreneurs project a sought-after image of rationality, the effectiveness of such displays is context-dependent and gendered. In the emotionally resonant world of crowdfunding, the value of neutrality is ambiguous, as it may conflict with audience expectations of expressiveness. Building on […]

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, […]

Mental health disorders among children and adolescents have become increasinglycommon and burdensome, with conditions such as anxiety, depression, suicidality,and trauma-related disorders contributing significantly to disability and death. Whiletimely identification and intervention are vital, progress is often limited by thescarcity of trained providers, ongoing stigma, and dependence on subjectiveevaluation methods. Against this backdrop, artificial intelligence (AI) […]

Anxiety is the response that humans can have when exposed to a stimulus. It can be caused by a multitude of factors, such as psychological, biological, or physiological stimuli. Anxiety can be presented as a state or as a trait in a person. Trait anxiety is typically seen as a more stable personality trait, whereas […]