Technology acceptance and use among nursing staff in Latin American hospitals: A mixed methods study by Juan Manuel Aranda, María Elisa Moreno-Fergusson, William Javier Guerrero, Beatriz Sanchez Herrera, María Alejandra Galiano, Maryory Guevara, Ingrid Xiomara Bustos, Francisca Muñóz

“…Nevertheless, the human-computer interaction is a concern in compassionate patient care and nurses' professional well-being. …”
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Auricular bioelectronic devices for health, medicine, and human-computer interfaces by William J. Tyler

“…This activity will lead to increased adoption of these smart headphone-style devices by patients and consumers for tracking health, treating medical conditions, and enhancing human-computer interactions.…”
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Hanter la machine : reconquêtes de la conscience humaine dans le cyberpunk à la française by Simon Bréan

“…This paper aims at identifying an enduring peculiarity regarding the way “French Cyberpunk” deals with human-computer interactions : the importance of human consciousness for creating artificial intelligence.…”
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Trust in autonomous vehicles: insights from a Swedish suburb by Kaspar Raats, Jesper Lund, Meike Brodersen

“…We argue that when investigating issues of trust and automation, the scope of analysis needs to be broadened to include a more complex socio-technical set of (human and non-human) agents, to extend from momentary human-computer interactions to a wider timescale, and be situated in concrete spaces, social networks, and situations.…”
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A Symmetrical Leech-Inspired Soft Crawling Robot Based on Gesture Control by Jiabiao Li, Ruiheng Liu, Tianyu Zhang, Jianbin Liu

“…This paper presents a novel soft crawling robot controlled by gesture recognition, aimed at enhancing the operability and adaptability of soft robots through natural human–computer interactions. The Leap Motion sensor is employed to capture hand gesture data, and Unreal Engine is used for gesture recognition. …”
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Attention-enhanced optimized deep ensemble network for effective facial emotion recognition by Taimoor Khan, Muhammad Yasir, Chang Choi

“…Facial emotion recognition (FER) is rapidly advancing, with significant applications in healthcare, human-computer interactions, and biometric security, driven by recent advances in artificial intelligence (AI), computer vision, and deep learning. …”
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