Name: Emotional Artificial Intelligence: Practical Challenges and Applications (en Inglés)
SKU: 66860328
Price: 3076.61 MXN
Availability: InStock
Author: Dhanaraj, Rajesh Kumar; Aanjankumar, S.; Sathyamoorthy, Malathy
ISBN: 9780443447440

portada Emotional Artificial Intelligence: Practical Challenges and Applications (en Inglés)

Emotional Artificial Intelligence: Practical Challenges and Applications (en Inglés)

Formato

Libro Físico

Editorial

Academic Press

Autor

Dhanaraj, Rajesh Kumar; Aanjankumar, S.; Sathyamoorthy, Malathy

Idioma

Inglés

N° páginas

330

Encuadernación

Tapa Blanda

ISBN13

9780443447440

Emotional Artificial Intelligence: Practical Challenges and Applications (en Inglés)

Dhanaraj, Rajesh Kumar; Aanjankumar, S.; Sathyamoorthy, Malathy (Autor) · Academic Press · Tapa Blanda

Libro Nuevo Importado

Envío: 20 a 26 días háb.

$ 6,153.21$ 3,076.61

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 100 unidades

$ 3,076.61

¡Envío Gratis! Llega entre el 30 Sep y el 09 Oct a CUAUHTÉMOC, Ciudad de México. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Emotional Artificial Intelligence: Practical Challenges and Applications (en Inglés)"

Emotional Artificial Intelligence: Practical Challenges and Applications explores the intersection of artificial intelligence and human emotions, challenging the myth that AI will replace humans. Instead, it emphasizes how emotional AI can enhance collaboration, improving efficiency across fields like healthcare, transportation, and space exploration. The book explores foundational theories such as Goleman's emotional model and Ekman's emotion theory, discussing methodologies for understanding human emotions through natural language processing and the ethical implications of AI in decision-making. It showcases real-world applications, from virtual nurses to emotion-aware driving systems, illustrating how these technologies can improve daily interactions and outcomes. This essential resource equips researchers, practitioners, and policymakers with practical insights for integrating emotional AI into diverse domains. By addressing the complexities of human emotion recognition and ethical frameworks, it provides a forward-looking perspective on enhancing collaboration between humans and AI, ultimately driving improved productivity and efficiency.