Skin-like thermoelectric (TE) films with temperature- and strain-sensing functions are highly desirable for human-machine interaction systems and wearable devices. However, current TE films still face challenges in achieving high flexibility and excellent sensing performance simultaneously. Herein, for the first time, a facile roll-to-roll strategy is proposed to fabricate an ultraflexible chalcogenide glass-polytetrafluoroethylene composite film with superior temperature- and strain-sensing performance. The unique reticular network of the composite film endows it with efficient Seebeck effect and flexibility, leading to a high Seebeck coefficient (731 µV/K), rapid temperature response (≈0.7 s), and excellent strain sensitivity (gauge factor = 836). Based on this high-performance composite film, an intelligent robotic hand for action feedback and temperature alarm is fabricated, demonstrating its great potential in human-machine interaction. Such TE film fabrication strategy not only brings new inspiration for wearable inorganic TE devices, but also sets the stage for a wide implementation of multifunctional human-machine interaction systems.
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http://dx.doi.org/10.1002/adma.202313101 | DOI Listing |
ACS Appl Mater Interfaces
January 2025
Department of Materials Science, National Engineering Lab for TFT-LCD Materials and Technologies, Fudan University, Shanghai 200433, China.
Tactile sensation and recognition in the human brain are indispensable for interaction between the human body and the surrounding environment. It is quite significant for intelligent robots to simulate human perception and decision-making functions in a more human-like way to perform complex tasks. A combination of tactile piezoelectric sensors with neuromorphic transistors provides an alternative way to achieve perception and cognition functions for intelligent robots in human-machine interaction scenarios.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, China.
Human-machine interfaces and wearable electronics, as fundamentals to achieve human-machine interactions, are becoming increasingly essential in the era of the Internet of Things. However, contemporary wearable sensors based on resistive and capacitive mechanisms demand an external power, impeding them from extensive and diverse deployment. Herein, a smart wearable system is developed encompassing five arch-structured self-powered triboelectric sensors, a five-channel data acquisition unit to collect finger bending signals, and an artificial intelligence (AI) methodology, specifically a long short-term memory (LSTM) network, to recognize signal patterns.
View Article and Find Full Text PDFFront Psychol
December 2024
Management School, Wuhan University of Science and Technology, Wuhan, China.
Background: With the widespread application of Artificial Intelligence technology in the field of E-commerce, human-machine relationships have attracted considerable attention within the field of psychology. Address forms, as crucial linguistic cues, have shown notable progress in advancing research on interpersonal relationships; however, a comprehensive understanding of the dynamics in interpersonal (or human-machine) relationships among interactors remains elusive. Therefore, based on Social Identity Theory, this paper explores the interactive effects and underlying mechanisms of affectionate nicknames and streamer type on streamer attitude in E-commerce live streaming, with consumers' perceptions of psychological closeness serving as the mediating mechanism.
View Article and Find Full Text PDFComput Inform Nurs
November 2024
Author Affiliations: Precision Medicine Center (Li, He, H. Liu, Chen), Nursing Department (Peng), and Intensive Care Unit (X. Liu), the Second People's Hospital of Huaihua; and Huaihua Key Laboratory of Cancer Prevention and Treatment (Tan), Huaihua, Hunan Province, China.
Critical care nurses, who are at the frontline of recognizing and answering alarms, face various challenges while undertaking this task. The purpose of this qualitative study is to gain more insight into the experiences of critical care nurses working with medical equipment alarms. A qualitative, descriptive design was used to explore this area.
View Article and Find Full Text PDFJMIR Form Res
January 2025
University Hospital for Visceral Surgery, PIUS-Hospital, Department for Human Medicine, Faculty VI, University of Oldenburg, Oldenburg, Germany.
Background: The integration of advanced technologies such as augmented reality (AR) and virtual reality (VR) into surgical procedures has garnered significant attention. However, the introduction of these innovations requires thorough evaluation in the context of human-machine interaction. Despite their potential benefits, new technologies can complicate surgical tasks and increase the cognitive load on surgeons, potentially offsetting their intended advantages.
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