Published: Oct. 30, 2024
Language: Английский
IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 103976 - 104019
Published: Jan. 1, 2024
Emotion recognition involves accurately interpreting human emotions from various sources and modalities, including questionnaires, verbal, physiological signals. With its broad applications in affective computing, computational creativity, human-robot interactions, market research, the field has seen a surge interest recent years. This paper presents systematic review of multimodal emotion (MER) techniques developed 2014 to 2024, encompassing signals, facial, body gesture, speech as well emerging methods like sketches recognition. The explores models, distinguishing between emotions, feelings, sentiments, moods, along with emotional expression, categorized both artistic non-verbal ways. It also discusses background automated systems introduces seven criteria for evaluating modalities alongside current state analysis MER, drawn human-centric perspective this field. By selecting PRISMA guidelines carefully analyzing 45 selected articles, provides comprehensive perspectives into existing studies, datasets, technical approaches, identified gaps, future directions MER. highlights challenges
Language: Английский
Citations
16
Applied Cognitive Psychology, Journal Year: 2025, Volume and Issue: 39(1)
Published: Jan. 1, 2025
ABSTRACT We examined the simultaneous training of questioning skills and supportive statements through simulated child sexual abuse (CSA) interviews paired with feedback. Eighty inexperienced participants were divided into four groups: no feedback, feedback on question types case outcomes, statements, combination all types. Each participant conducted online CSA avatars. Results showed that combined improved both demonstrating potential for multi‐skill training. The proportion recommended questions increased by 20%–30% average, while two‐ to four‐fold. However, slightly lower improvements compared single‐skill suggesting presence a trade‐off. These findings highlight importance personalized suggest initial separate single or additional interventions may enhance effectiveness, contributing more effective interviewer programs.
Language: Английский
Citations
4
Education and Information Technologies, Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 24, 2024
Language: Английский
Citations
4
Machine Learning and Knowledge Extraction, Journal Year: 2024, Volume and Issue: 6(4), P. 2201 - 2231
Published: Sept. 30, 2024
Automatic Face Emotion Recognition (FER) technologies have become widespread in various applications, including surveillance, human–computer interaction, and health care. However, these systems are built on the basis of controversial psychological models that claim facial expressions universally linked to specific emotions—a concept often referred as “universality hypothesis”. Recent research highlights significant variability how emotions expressed perceived across different cultures contexts. This paper identifies a gap evaluating reliability ethical implications systems, given their potential biases privacy concerns. Here, we report comprehensive review current debates surrounding FER, with focus cultural social biases, application, technical reliability. Moreover, propose classification organizes perspectives into three-part taxonomy. Key findings show FER limited datasets annotation addition lacking context exhibiting unreliability, misclassification rates influenced by race background. In some cases, systems’ errors lead concerns, particularly sensitive settings such law enforcement surveillance. study calls for more rigorous evaluation frameworks regulatory oversight, ensuring deployment does not infringe individual rights or perpetuate biases.
Language: Английский
Citations
4
Law, governance and technology series, Journal Year: 2025, Volume and Issue: unknown, P. 167 - 181
Published: Jan. 1, 2025
Language: Английский
Citations
0
Published: March 4, 2025
Abstract The rapid integration of artificial intelligence (AI) into early childhood education (ECE) presents transformative possibilities but raises urgent ethical challenges that demand immediate attention. This scoping review examines 42 studies to explore key concerns in four interconnected areas: data privacy, impacts on child development, algorithmic bias, and regulatory frameworks. Findings reveal significant gaps safeguarding children’s sensitive data, with inadequate protections against breaches, profiling, misuse. Emotional AI tools, such as social robots emotion-recognition technologies, offer novel learning opportunities risk undermining relational fostering overreliance, manipulation, or loss autonomy. lack developmentally appropriate design systems further exacerbates these risks, failing align technological solutions the unique needs young learners. Algorithmic driven by non-representative datasets, perpetuates systemic inequities, disproportionately affecting marginalized communities eroding fairness. Regulatory frameworks are fragmented inconsistent, often lacking provisions tailored vulnerabilities children mechanisms for global enforcement. To address challenges, this study highlights urgency establishing prioritize transparency, minimization, cultural inclusivity. Engaging educators, parents, participatory governance is essential developmental uphold rights. These findings underscore need sustained efforts ensure ECE foster equitable environments, well-being learners while advancing innovation responsibly.
Language: Английский
Citations
0
Deleted Journal, Journal Year: 2025, Volume and Issue: unknown
Published: March 5, 2025
Abstract The complex relationship between emotions and mental health demands a more comprehensive theoretical framework that can capture its dynamic multifaceted nature. This perspective article proposes novel trimodal approach conceptually integrates three complementary methodologies: Ecological Momentary Assessment, physiological measurements, Speech Emotion Recognition. By adopting dynamical system perspective, we argue the convergence of these methodologies could provide unprecedented insights into emotional dynamics in research practice. We discuss how this transform our understanding by simultaneously capturing subjective experiences, responses, linguistic patterns naturalistic settings. proposed integration offers conceptual foundation for developing sophisticated approaches to monitoring intervention. explore implications, methodological considerations, potential future directions integrated highlighting promise advancing both clinical practice health.
Language: Английский
Citations
0
Journal of Medical Ethics, Journal Year: 2025, Volume and Issue: unknown, P. jme - 110652
Published: March 12, 2025
Informed consent in surgical settings requires not only the accurate communication of medical information but also establishment trust through empathic engagement. The use large language models (LLMs) offers a novel opportunity to enhance informed process by combining advanced retrieval capabilities with simulated emotional responsiveness. However, ethical implications empathy raise concerns about patient autonomy, and transparency. This paper examines challenges consent, potential benefits limitations digital tools such as LLMs empathy. We distinguish between active empathy, which carries risk creating misleading illusion connection passive focuses on recognising signalling distress cues, fear or uncertainty, rather than attempting simulate genuine argue that should be limited latter, cues alerting healthcare providers anxiety. approach preserves authenticity human while leveraging analytical strengths assist surgeons addressing concerns. highlights how can ethically without undermining relational integrity essential patient-centred care. By maintaining transparency respecting irreplaceable role serve valuable support, replace, consent.
Language: Английский
Citations
0
Asian Journal of Psychiatry, Journal Year: 2025, Volume and Issue: 107, P. 104443 - 104443
Published: March 16, 2025
Language: Английский
Citations
0
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: April 15, 2025
Language: Английский
Citations
0