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Journal articles on the topic 'Human-to-machine interface'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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You, Fang, Xu Yan, Jun Zhang, and Wei Cui. "Design Factors of Shared Situation Awareness Interface in Human–Machine Co-Driving." Information 13, no. 9 (2022): 437. http://dx.doi.org/10.3390/info13090437.

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Automated vehicles can perceive their environment and control themselves, but how to effectively transfer the information perceived by the vehicles to human drivers through interfaces, or share the awareness of the situation, is a problem to be solved in human–machine co-driving. The four elements of the shared situation awareness (SSA) interface, namely human–machine state, context, current task status, and plan, were analyzed and proposed through an abstraction hierarchy design method to guide the output of the corresponding interface design elements. The four elements were introduced to visualize the interface elements and design the interface prototype in the scenario of “a vehicle overtaking with a dangerous intention from the left rear”, and the design schemes were experimentally evaluated. The results showed that the design with the four elements of an SSA interface could effectively improve the usability of the human–machine interface, increase the levels of human drivers’ situational awareness and prediction of dangerous intentions, and boost trust in the automatic systems, thereby providing ideas for the design of human–machine collaborative interfaces that enhance shared situational awareness in similar scenarios.

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Matsunaga, Hisashi, and Hiromu Nakazawa. "Development of Adaptive Human-Machine Interface to Match Human Satisfaction." IFAC Proceedings Volumes 32, no. 2 (1999): 6529–34. http://dx.doi.org/10.1016/s1474-6670(17)57115-3.

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Panou, M., N. Cacciabue, P. C. Cacciabue, and E. Bekiaris. "FROM DRIVER MODELLING TO HUMAN MACHINE INTERFACE PERSONALISATION." IFAC Proceedings Volumes 38, no. 1 (2005): 121–26. http://dx.doi.org/10.3182/20050703-6-cz-1902.01199.

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Payal, Mohit. "A Human-Machine Interface for Electronic Assistive Technologies." Mathematical Statistician and Engineering Applications 71, no. 1 (2022): 351–67. http://dx.doi.org/10.17762/msea.v71i1.2127.

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Human-machine interaction (HMI) refers to the two-way exchange of information and actions between a human and a machine via the latter's user interface. Gestures and other forms of natural user interfaces are becoming increasingly popular because they allow humans to interact with technology in ways that feel more natural to them. Gesture-based HMI uses a sensor like the Microsoft Kinect to detect human motion and posture, which is then translated into machine input. Using Kinect's data—which includes RGB (red, green, and blue), depth, and skeleton information—to recognize meaningful human motions is the core function of gesture-based HMI. This article provides an introduction of electronic assistive technologies (EATs) and discusses the importance of human-machine interfaces (HMIs) in their development. HMIs for EATs must consider accessibility, personalization, safety, and user-centered design elements to meet the needs and preferences of users with disabilities or limited mobility. There are benefits and drawbacks to using each type of human-machine interface currently in use, such as brain-computer interfaces, touchscreens, switches, and sensors, and voice recognition software. Good design has the potential to increase the usability and performance of these technologies, as evidenced by studies of successful HMIs in EATs. Constant research and improvement of HMIs for EATs is necessary to increase accessibility and quality of life for people with impairments or restricted mobility.

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Ma, Xue Liang, and Li Min Yu. "Study on the Feedback Information of Man-Machine Interface." Applied Mechanics and Materials 235 (November 2012): 340–44. http://dx.doi.org/10.4028/www.scientific.net/amm.235.340.

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This paper synthesizes the human-computer interaction and feedback from two aspects of the theory of in-depth research and analysis, reveals the interactive human-machine interfaces and inner relationship: human-computer interaction is a person and" contains the computer machines" effect relationship between scene depicts; and the human-machine interface is to achieve human-computer interaction forms and methods; at the same time, the system presents a new product development new thinking - interactive guide design. The design of the man-machine interface and real significance and related method were described briefly.

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Idesawa, Masanori, and Editor. "Special Issue on Human Interface." Journal of Robotics and Mechatronics 4, no. 1 (1992): 1. http://dx.doi.org/10.20965/jrm.1992.p0001.

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In recent years, the expression ""human interface"" is often heard. Now that information systems have been ingrained deeply in the society, it is no longer possible to ignore the existence of information systems even though in man-to-man communications. The expression ""human interface"" may be considered to encompass not only the conventional man-machine interfaces related to communication between man and machine but also the promotion and harmonization of communication between people, between societies and people, and even between different cultures and between different languages. It also gives the impression that it is trying to come closer to the human side. On the other hand, ""human"" can be read in the Japanese Romanize language as ""human"" which phonetically means ""dissatisfaction."" Thus the human interface may ironically be called the ""dissatisfied"" interface. The conventional ""man-machine interface,"" namely the interface between ""man"" and ""machine,"" tended to favor the efficiency of the machine and often attempted to push men closer to the side of the machine, that is, to force the burden on the men. This is precisely the ""dissatisfied"" interface itself. It is no exaggeration to say that whether the human interface is considered truly to be human or not will depend upon the effort to eliminate this dissatisfaction and make the interface pleasant to the human beings. Fortunately, study and research efforts have been made, in recent years, more on interfaces emphasizing the human side than on the conventional man-machine interfaces. In particular, the importance of welfare systems for conquering the physical trouble of men have been recognized and their developmental work is attempted at various research centers. Moreover, research efforts are also being directed towards not only the passive attempt to conquer men's physical trouble but also the active attempt to draw out hidden capabilities of men. In addition, the recent years have seen a great deal of developmental work on information presenting systems which make full use of information perceiving capabilities by human senses such as artificial reality system or virtual reality system. The application of such systems as a new means of communication is awaited in expec tation. To be more precise, these systems are utilized for facilitating such tasks as, for example, the tele-existence in which work at a remote place is carried out at a near place after the environment at the remote place has been transferred to the near place, operations involing the joining of capillary vessels under microscopes, operations at the molecular levels in micro-environments under electron microscopes, and tasks in gigantic environments like assembly of cosmic structures, after achieving the imaginary creation of working conditions similar to normal conditions in the normal environment to which abnormal envirnments have been transferred. In order to succeed in these attempts, it is important to have environment transforming technology, environment transferring technology, and environment presenting technology. To realize these technologies, the maximal consideration of the characteristics of men is indispensable. In such human interface, it is desirable to develop means of transmitting the intentions of men accurately and presenting these intentions effectively so that men can easily recognize, understand, and judge them. Moreover, in view of the fact that it is important in facilitating tasks to react to actions of men, that is, to have the existence of reactions, it is desirable to develop means of presentation including reactions, operation, instruction, and inputting. In addition, it is important to have still deeper understandings of the characteristics of men and develop instructive techniques and presentation techniques appropriate to the characteristics of men, if more effective presentation to the men is to be achieved and the instructions from men to systems facilitated. Research on the functions and characteristics of men themselves such as human sensory functions, brain functions, and psychological characteristics has now become important. Although the trends of the human interface are not yet clear, this special issue has taken up various topics related to this subject cross-sectionally, although it may be judged somewhat biased. It is our hope that this issue will provide some help in seeking the developmental direction of the human interface in the future.

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Chignell, M. H., and P. A. Hancock. "Integration of the Cognitive and Physical Aspects of the Human-Machine Interface." Proceedings of the Human Factors Society Annual Meeting 30, no. 10 (1986): 1007–11. http://dx.doi.org/10.1177/154193128603001015.

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Current approaches to human-machine interface design are reflective of the traditional dualistic perspective that separates the physical from cognitive characteristics of human functioning. With the development of flexible computing machines and new display technologies, this dualistic perspective can be replaced with one where cognitive and physical aspects of the interface are integrated through the unification of isomorphic structures. This paper reviews the nature of physical and cognitive interfaces and shows how they may be integrated in the design of human-machine systems in order to improve the compatibility between operator and machine.

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Mkrttchian, Vardan, Hasmik Yeranosyan, and Meruzban Grigoryan. "Improving of Sliding Mode Human-Machine Interface to Match Human Satisfaction." IFAC Proceedings Volumes 34, no. 16 (2001): 183–86. http://dx.doi.org/10.1016/s1474-6670(17)41522-9.

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Flach, John M. "An Ecological Approach to Human-Machine Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 22 (2000): 553. http://dx.doi.org/10.1177/154193120004402214.

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This is the first of three sessions to examine the implications of an ecological approach for interface design. The goal for this session is to consider the broader theoretical implications for an ecological approach to work. In what way is an ecological approach different from classical frameworks for analysis and design of human-machine systems?

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Antunes, Rui, Fernando V. Coito, and Hermínio Duarte-Ramos. "Skill Evaluation in Point-to-Point Human-Machine Operation." Applied Mechanics and Materials 394 (September 2013): 463–69. http://dx.doi.org/10.4028/www.scientific.net/amm.394.463.

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Point-to-point reaching manual actions are present in numerous human-machine tasks. This is due to the fact that machines are commonly handled by a human operator through simple multiple interfaces. Therefore, task-performance evaluation methods based on extending the Fitts' law can be used as a skill estimator for the resulting human-machine system. This paper proposes a methodology for qualifying operator skill in point-to-point (p-t-p) man-machine operations, based on several task-performance index evaluation criteria. A 2-D real-time setup was built for the execution and evaluation of the p-t-p tracking experiences over a predefined process dynamics, using a pen tablet as the human-machine interface device. The analysis from the collected data reveals a correlation between operator performance and the fitting error to Fitts' law.

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Khan, Tawhid, Mark Williams, Tom Wellings, Duncan Robertson, and Jackie Binersley. "Designing the Human Machine Interface to Address Range Anxiety." World Electric Vehicle Journal 5, no. 1 (2012): 72–82. http://dx.doi.org/10.3390/wevj5010072.

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ISHIDA, Hiroshi. "F111002 Olfaction and its Applications to Human-Machine Interface." Proceedings of Mechanical Engineering Congress, Japan 2014 (2014): _F111002–1—_F111002–4. http://dx.doi.org/10.1299/jsmemecj.2014._f111002-1.

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Ma, Ming Kun, Jia Zhang, Jun Chen, Dong Hui Liu, and Geng Huang Yang. "Portable Monitoring Instrument Based on ARM and LINUX." Applied Mechanics and Materials 333-335 (July 2013): 2380–83. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.2380.

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Man-machine interface (Human Machine Interface, HMI) is known as the man-machine interface, which is the transmission of information between human and computer media.And it plays an important role in computer system design. Man-machine interface as an independent field of study is pay attention to the world widely. From the perspective of the development of computer technology, man-machine interface guide the development of the related hardware and software.

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Xenos, Michalis, Andreas Mallas, and Dimosthenis Minas. "Using Eye-Tracking for Adaptive Human-Machine Interfaces for Pilots: A Literature Review and Sample Cases." Journal of Physics: Conference Series 2716, no. 1 (2024): 012072. http://dx.doi.org/10.1088/1742-6596/2716/1/012072.

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Abstract This paper explores the potential of eye-tracking technology in adaptive human-machine interfaces for pilots in aviation. We argue that an interface able to adjust its layout and elements based on pilots’ real-time eye-tracking data can prevent errors and enhance their performance. The study presents a literature review on the use of eye-tracking for various pilot cases, including flight simulator games, drone pilots, and cockpit pilots. Results in most cases showed that eye-tracking has been employed to improve interactions, enhance spatial awareness, guide pilots’ gaze to relevant areas, and provide insights into pilots’ information processing and task load. The paper discusses two sample cases demonstrating the potential of eye-tracking in adaptive human-machine interfaces. In the first case, during challenging drone simulations, eye-tracking identified areas where an adaptive human-machine interface could aid navigation and reduce cognitive load. In the second one, based on real drone flights, when signal loss incidents occurred, eye-tracking data showed that the interface should adapt to pilots’ needs by providing critical information to help them to improve situational awareness. The paper concludes that eye-tracking technology has significant potential in adaptive human-machine interfaces for aviation, emphasising the importance of refining these technologies to meet pilots’ specific needs and enhance flight safety.

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Gu, Jie. "AI-empowered neural processing for intelligent human-machine interface and biomedical devices." Open Access Government 43, no. 1 (2024): 268–69. http://dx.doi.org/10.56367/oag-043-11463.

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AI-empowered neural processing for intelligent human-machine interface and biomedical devices Jie Gu, Associate Professor from Northwestern University, examines AI-empowered neural processing for intelligent human-machine interface and biomedical devices. Most conventional wearable devices rely on motion detection or image classifications to capture users’ activities. However, they lack the ability to decode neural signals generated by the human body. Neural signals, such as EEG, ECG, and EMG, offer a rich amount of information on a person’s physiological and psychological activities. Recognition and use of such signals present many new opportunities for applications in medical and daily commercial usage. Recently, artificial intelligence (AI) has been applied to neural signal processing, leading to a new generation of intelligent human-machine interfaces and biomedical devices.

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S., Asst Prof Pange. "Human Machine Interface." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29623.

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This document presents a comprehensive literature survey of recent advancements in Human-Machine Interaction (HMI), with a primary focus on cutting-edge technologies poised to significantly shape the future trajectory of this field. By providing insights into current technical achievements and prospective developments, it becomes evident that advanced HMI technologies are on the brink of convergence. This convergence entails the integration of functionalities across HMI devices, the establishment of novel sensor fusion methodologies, and an overarching goal of bridging the gap between intelligent machines and humans. HMI holds pivotal importance in enabling the widespread adoption of robots and machines among populations lacking expertise in software and hardware. This is particularly transformative for segments such as the elderly and disabled, where intuitive interfaces facilitated by HMI facilitate enhanced accessibility and usability. As the field progresses, it is poised to revolutionize the way individuals interact with and benefit from intelligent machines, thereby fostering inclusivity and empowerment across diverse demographic groups. Key Words: HMI, sensor, robot and machines, software and hardware.

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Beltramini, Enrico. "Human vulnerability and robo-advisory." Baltic Journal of Management 13, no. 2 (2018): 250–63. http://dx.doi.org/10.1108/bjm-10-2017-0315.

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Purpose The purpose of this paper is to introduce the work of Mark Coeckelbergh into the field of management. Design/methodology/approach This is a conceptual paper with interviews. Findings The author suggests that Coeckelberghs’ considerations of an anthropology of vulnerability have the potential to provide a rich and insightful exploration of the machine-human interface, which is not afforded by many of the current approaches taken in this field. Their development of an anthropology of vulnerability suggests an approach to the machine-human interface that re-frames the machine-human interface in terms of human vulnerability, rather than machine’s performance, and sustains that the machine-human interface can be understood in terms of the transfer of human vulnerability. Research limitations/implications This paper reveals some of the possibilities inherent in Coeckelbergh’s theories by providing an analysis of a specific event, the recent introduction of robo-advisors in portfolio management, from a Coeckelberghian perspective and by exploring some of the implications of this type of approach for the machine-human interface. Originality/value As far as the author knows, there is no previous paper on this topic.

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Wei, Xiao, Xiaotong Liang, Chongguang Meng, Shuze Cao, Qiongfeng Shi, and Jun Wu. "Multimodal electronic textiles for intelligent human-machine interfaces." Soft Science 3, no. 2 (2023): 17. http://dx.doi.org/10.20517/ss.2023.09.

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Smart wearable electronic devices capable of information exchanging (such as human-machine interfaces) have developed into key carriers for the interconnection, intercommunication, and interaction between humans and machines. Multimodal electronic textiles that incorporate multifunctional sensors into daily clothing are an emerging technology to realize smart wearable electronics. This has greatly advanced human-machine interface technology by bridging the gap between wearing comfort and traditional wearable electronic devices, which will facilitate the rapid development and wide application of natural human-machine interfaces. In this article, we provide a comprehensive summary of the latest research progress on multimodal electronic textiles for intelligent human-machine interfaces. Firstly, we introduce the most representative electronic textile manufacturing strategies in terms of functional fiber preparation and multimodal textile forming. Then, we explore the multifunctional sensing capability of multimodal electronic textiles and emphasize their advanced applications in intelligent human-machine interfaces. Finally, we present new insights on the future research directions and the challenges faced in practical applications of multimodal electronic textiles.

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Mellor, Edward W., Robert Harrison, and Andrew A. West. "COMPONENT BASED HUMAN MACHINE INTERFACE SYSTEM TO SUPPORT AGILE MANUFACTURING." IFAC Proceedings Volumes 39, no. 3 (2006): 535–40. http://dx.doi.org/10.3182/20060517-3-fr-2903.00278.

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Sam Zheng, X., J. Kiekebosch, and R. Rauschenberger. "Attention-aware Human-Machine Interface to Support Video Surveillance Task." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 55, no. 1 (2011): 1818–22. http://dx.doi.org/10.1177/1071181311551378.

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Deng, Li, Guohua Wang, and Suihuai Yu. "Layout Design of Human-Machine Interaction Interface of Cabin Based on Cognitive Ergonomics and GA-ACA." Computational Intelligence and Neuroscience 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/1032139.

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In order to consider the psychological cognitive characteristics affecting operating comfort and realize the automatic layout design, cognitive ergonomics and GA-ACA (genetic algorithm and ant colony algorithm) were introduced into the layout design of human-machine interaction interface. First, from the perspective of cognitive psychology, according to the information processing process, the cognitive model of human-machine interaction interface was established. Then, the human cognitive characteristics were analyzed, and the layout principles of human-machine interaction interface were summarized as the constraints in layout design. Again, the expression form of fitness function, pheromone, and heuristic information for the layout optimization of cabin was studied. The layout design model of human-machine interaction interface was established based on GA-ACA. At last, a layout design system was developed based on this model. For validation, the human-machine interaction interface layout design of drilling rig control room was taken as an example, and the optimization result showed the feasibility and effectiveness of the proposed method.

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Sasne, Ajinkya, Ashutosh Banait, Apurva Raut, and Vishal Raut. "Brain Machine Interface." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 3641–42. http://dx.doi.org/10.22214/ijraset.2022.43218.

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Abstract— Brain Machine Interface is also known as ‘A brain-computer inteface’.A brain-computer interface (BCI), sometimes called a direct neural interface or a brain-machine interface, is a direct communication pathway between a human or animal brain and an external device. In one-way BCIs, computers either accept commands from the brain or send signals to it (for example, to restore vision) but not both. Two-way BCIs would allow brains and external devices to exchange information in both directions but have yet to be successfully implanted in animals or humans. In this definition, the word brain means the brain or nervous system of an organic life form rather than the mind. Computer means any processing or computational device, from simple circuits to silicon chips. Research on BCIs began in the 1970s, but it wasn't until the mid1990s that the first working experimental implants in humans appeared. Following years of animal experimentation, early working implants in humans now exist, designed to restore damaged hearing, sight and movement. With recent advances in technology and knowledge, pioneering researchers could now conceivably attempt to produce BCIs that augment human functions rather than simply restoring them, previously only a possibility in science fiction.

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Tarigan, Zeplin Jiwa Husada, Hotlan Siagian, Yonathan Palumian, and I. Nyoman Sutapa. "The influence of the human-machine interface on operational performance through supply chain agility." Uncertain Supply Chain Management 11, no. 4 (2023): 1783–88. http://dx.doi.org/10.5267/j.uscm.2023.6.013.

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Manufacturing companies continue to carry out activities by maximizing the role of the human-machine interface. Its function is to provide work effectiveness and efficiency, compliance with social distancing at the working place, and maintain the production optimum utilization level of machines. The human-machine interface, semi-automatic or fully automatic, gives a significant role to operators and supervisors in company operations to monitor production results in real time. This study examines the influence of human-machine interface adoption on operational performance through supply chain agility. Questionnaires were distributed to 77 companies in East Java, and 56 questionnaires were considered valid for analysis. The data processing results show that the human-machine interface impacts the supply chain agility with a path coefficient of 0.665. The human-machine interface affects operational performance with a path coefficient of 0.334. Similarly, supply chain agility impacts operational performance with a path coefficient of 0.306. The human-machine interface affects operational performance through an agile supply chain with a path coefficient 0.203. This result implies that firm management needs to consider adopting HMI technology to improve the firm's performance and competitive advantage. This work could also contribute to the current research in operations and supply chain management.

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Siagian, Hotlan, Yonathan Palumian, Sautma Ronni Basana, Zeplin Jiwa Husada Tarigan, and Roxanne O. Doron. "The human-machine interface enables collaborative decision-making and supply chain flexibility to boost operational performance." Decision Science Letters 14, no. 2 (2025): 493–506. https://doi.org/10.5267/j.dsl.2024.12.006.

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Using technology, such as human-machine interfaces, can enhance operational performance processes and increase the flexibility of the supply chain. Human-machine interfaces can produce operational control systems quickly and accurately. The research aims to explore the impact of human-machine interface on operational performance through collaborative decision making and supply chain agility. The sample criteria are the manufacturing companies with over 20 employees in Indonesia. The questionnaires were distributed offline (76 respondents) and online through Google Forms (427 respondents), so 503 questionnaires were valid—data processing using SmartPLS software version 4.0. The study results showed that the human-machine interface technology positively affects collaborative decision-making, supply chain flexibility, and operational performance with coefficients of 0,559, 0,490, and 0,340, respectively. Collaborative decision-making involving customer partners in planning decisions and communicating decisions with external partners influences supply chain flexibility by a coefficient of 0.375 and operational performance by 0.149. Moreover, supply chain flexibility with flexible planning and production processes and flexible labor placement influences operational performance by a coefficient of 0.381. The practical contribution of research enlightens company managers to build integrated systems and automation. It encourages top management and owners to think about investing in machines with high automation in the economy. Besides, these findings enrich the theoretical background in supply chain management and the resource-based view.

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Yin, Zhen, Hua Li, Yan Li, and Ou Xie. "Study and Design of Human-Machine Interface System for Embedded CNC Precision Internal Grinder." Advanced Materials Research 418-420 (December 2011): 1570–74. http://dx.doi.org/10.4028/www.scientific.net/amr.418-420.1570.

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According to the properties of the CNC precision internal grinding, the Human-machine interface system for the CNC based on industrial-grade touch device is proposed in this paper. Based on analyzing the human-machine interface system on the whole, each module is described in detail. The whole human-machine interface system is friendly, convenient and flexible, which meet the function requirements of embedded CNC precision internal grinder.

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P. Ebby Darney. "Recent Advancements of Embedded System in HMI." December 2023 5, no. 4 (2023): 310–23. http://dx.doi.org/10.36548/jsws.2023.4.003.

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Human-Machine Interaction (HMI) refers to the interface and interaction between humans and machines, often in the context of technology-driven systems. In the realm of vehicular systems, HMI plays a crucial role in facilitating communication between drivers, passengers, and the vehicle itself. The driving experience is completely transformed by the quick developments in embedded systems, with the Human-Machine Interface (HMI) having a major influence on how drivers and cars interact. This study examines the most current developments in HMI design and execution, emphasizing how they have improved the usability, safety, and intuitiveness of vehicle operation interfaces.

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Tervo, Kalevi, and Heikki N. Koivo. "Adaptation of the Human-Machine Interface to the Human Skill and Dynamic Characteristics." IFAC Proceedings Volumes 47, no. 3 (2014): 3539–44. http://dx.doi.org/10.3182/20140824-6-za-1003.02614.

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Mashori, Sumaiya. "Development of Cut to Length Machine using Programmable Logic Controller with Human Machine Interface." International Journal of Advanced Trends in Computer Science and Engineering 9, no. 1.4 (2020): 454–59. http://dx.doi.org/10.30534/ijatcse/2020/6491.42020.

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Fang, Wei-xuan, and Wei-guang Yang. "Conceptual Design of Transparent Machine Behavior to Facilitate Human-Machine Driving." Scientific and Social Research 6, no. 2 (2024): 84–89. http://dx.doi.org/10.26689/ssr.v6i2.6249.

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To facilitate human-machine driving, the functions of the intelligent system need to be displayed clearly to the driver. In this way, the driver will be able to understand the goals, plans, and decisions of the intelligent system. In addition to internal states, the transparency of external states such as the level of control during automated driving is also important. However, the current autonomous driving systems do not allow visibility of the tangible state of the intelligent system. Therefore, we designed a Human Machine Interface (HMI) concept that makes the machine’s behavior visible through virtual changes on the steering wheel, foot pedals, and turn signals. In this way, the lack of awareness of the driver due to the loss of tactile feedback from the vehicle can be compensated, and the driver will be able to observe and predict the behavior of the system, resulting in a better human-machine driving experience.

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Wardana, Awang Noor Indra, Yahya Bachtiar, M. Bobby Andriansyah, and Rifdahlia Salma. "Implementasi Realitas Berimbuh pada Antarmuka Manusia-Mesin di Industri Proses." Jurnal Teknik Elektro 13, no. 2 (2021): 71–78. http://dx.doi.org/10.15294/jte.v13i2.32191.

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Process industries such as oil refineries, petrochemical plants, and power plants require a human-machine interface system to monitor continuously. The operator usually carries out monitoring via a human-machine interface. However, it is difficult to know the condition of process equipment in real-time. The implementation of augmented reality allows engineers to visualize process equipment in real-time when conducting field inspections. The implementation of augmented reality at the human-machine interface to the fluid catalytic cracking process in an oil refinery is discussed in this paper. The design was started by developing a three-dimensional process equipment model using Autodesk Inventor. The result of the three-dimensional model then using Unity 3D software connected to the Vuforia Engine was implemented on a gadget into an augmented reality application. Data communication performance analysis was carried out using inferential statistics methods to test variations in service quality at levels 0, 1, and 2. The result of the Tukey test showed that the communication network latency value in level 2 was significantly higher than levels 0 and 1, which was 0.704±0.108 seconds. These results indicate that augmented reality can be implemented on human-machine interfaces by ensuring the quality of data communication services using Message Queue Telemetry Transport (MQTT) protocol at levels 0 or 1.

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Wei, Jinwu, Zhenning Sun, and Hanyu Chen. "Optimization of human-machine interface for fatigue driving problem." Applied and Computational Engineering 36, no. 1 (2024): 64–76. http://dx.doi.org/10.54254/2755-2721/36/20230424.

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Amidst rapid motorization, the surge in serious traffic accidents has raised concerns about the significant contribution of fatigued driving to road safety. However, the current vehicle-machine interface for fatigue driving reminder is relatively simplistic and plays a weak role. This study aims to optimize the functionality of traditional in-vehicle HMIs by exploring the key factors of human-computer interaction (HCI) and developing targeted user interfaces to effectively alert and reduce driver fatigue. A quantitative analysis based on previous experimental data is conducted to model the correlation between interface design factors (such as simplicity and feedback clarity) and physical fatigue parameters. An integrated user interface with fatigue alerts, rest area navigation, driver assistance, air conditioning settings, and voice control modules is proposed. Compared to the traditional interface, the improved user interface is evaluated in simulated driving conditions using an A/B experiment. The new user interface is expected to demonstrate improved effectiveness in relieving driver fatigue by providing clear visual, audio and haptic feedback. This research contributes a structured methodology for applying HCI principles to optimize in-vehicle interface design for mitigating driver fatigue, providing a framework to inform future interface development and enhance road safety.

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Hasan, Sajib. "Adaptive Fitts for Adaptive Interface." AIUB Journal of Science and Engineering (AJSE) 17, no. 2 (2018): 51–58. http://dx.doi.org/10.53799/ajse.v17i2.9.

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Adaptive interface would enable Human Computer Interaction apply machine learning to cope with human carelessness (mistakes), understand user performance level and provide an interaction interface accordingly. This study tends to translate the theoretical issues of human task into working model by investigating and implementing the predicting equation of human psychomotor behavior to a rapid and aimed movement, developed by Paul Fitt in 1954. The study finds logarithmic speed-accuracy trade-off and predict user performance in a common task “point-select” using common input device mouse. The performance of user is visualized as an evidence and this visualization make a valuable step toward understanding the change required in user interface to make the interface adaptive and consistent. It proposed a method of calculating the amount of change required through learning; add extension to the theory of machine intelligence and increase knowledge of Fitts applicability in terms of machine learning.

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Hao, Lei, and Won-Jun Chung. "Human-Machine Interface Visual Communication Design Model of Electronic Equipment Using Machine Vision Technology." Wireless Communications and Mobile Computing 2022 (March 27, 2022): 1–9. http://dx.doi.org/10.1155/2022/7138674.

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Electronic equipment has high precision, high reliability, high stability, and high security, as well as the ability to adapt to a variety of challenging environments. With the rapid advancement of mechanization, automation, and electronization, the impact of human factors in production is growing, and designers are increasingly concerned about the problem of man-machine coordination. It is critical to have a man-machine interface that is suitable for operators’ thinking and behavior and has a guiding function. The accuracy and timeliness of equipment control are linked to the human-computer interaction interface. The visual characteristics of human cone cells are used to divide the neural visual perception intensity grades. With the visual communication index as the optimization goal, a mathematical model of human-computer interaction interface optimization is established and solved using a genetic algorithm. This method is used to optimize the design of a human-computer interaction interface, and the results show that the visual communication index of the optimized human-computer interaction interface has improved significantly.

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Shruthi Ashok. "Human-Machine Collaboration in Semiconductor Processes." Journal of Computer Science and Technology Studies 7, no. 5 (2025): 629–36. https://doi.org/10.32996/jcsts.2025.7.5.69.

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Human-machine collaboration represents an essential frontier for optimizing semiconductor fabrication processes, addressing unique challenges that require both human expertise and computational precision. This article explores the transformative integration of AI-powered systems, augmented reality interfaces, digital twins, and collaborative technologies in semiconductor manufacturing operations. AI-vision systems and cobots enhance precision handling while minimizing contamination risks, while augmented reality interfaces project process parameters and maintenance procedures directly into operators' field of vision. Digital twin technology creates virtual representations allowing engineers to test configurations without disrupting production, complemented by human-in-the-loop machine learning systems that incorporate operator feedback for improved anomaly detection and predictive maintenance. Explainable AI models provide transparent reasoning for process adjustments while knowledge management systems systematically capture best practices and preserve institutional memory. Through these collaborative human-machine partnerships, semiconductor manufacturers achieve higher productivity, improved yields, and accelerated innovation cycles while addressing challenges in interface design, cybersecurity, and establishing optimal automation-supervision equilibrium.

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Yang, Jing, Wumin OuYang, and Yuqi Chen. "Research on Human-Machine Interface Design of Smart Refrigerator Based on Conjoint Analysis." Journal of Physics: Conference Series 2029, no. 1 (2021): 012046. http://dx.doi.org/10.1088/1742-6596/2029/1/012046.

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Abstract The purpose is to study the design method of the smart refrigerator man-machine interface. The method adopts conjoint analysis, starting from the human-machine interface of the smart refrigerator, and splitting and orthogonally reorganizing the main components and element types of the interface, allowing users to score the virtual experiment scheme and statistical data, and calculate the utility value of each element and type, analyzes the user preference in the smart refrigerator man-machine interface, and then draws the design principles of the smart refrigerator man-machine interface, and generates the final interface design plan. This paper concluded that through the conjoint analysis method, multi-factor data could be statistically analyzed. Therefore, enable designers to better understand the user preference for the smart refrigerator man-machine interface, improve user experience and user viscosity, and providing ideas for similar interface design in the future.

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Marti, Stefan, Rashmi Rao, and IP Park. "41.4:Invited Paper: Advances to In-Car Human Machine Interface Systems." SID Symposium Digest of Technical Papers 46, no. 1 (2015): 626–29. http://dx.doi.org/10.1002/sdtp.10220.

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Yin, Jing Hai, Zheng Dong Mu, and Jian Feng Hu. "The Application of BCI Technology in Android RPG Game." Applied Mechanics and Materials 496-500 (January 2014): 2015–18. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.2015.

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To enhance human interaction with machines, research interest is growing to develop a Brain-Computer Interface (BCI), which allows communication of a human with a machine only by use of brain signals. In this paper, one type of android RPG game was designed for application of brain computer interfaces.

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Nishihara, Kazue, Noriyuki Kawarazaki, and Tadashi Yoshidame. "Transmission of Human Intention by Impulsive Sound." Journal of Robotics and Mechatronics 16, no. 1 (2004): 39–43. http://dx.doi.org/10.20965/jrm.2004.p0039.

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We discuss a basic human-machine interface for transmitting human intention to a machine via impulsive sound, using wavelet analysis to determine whether impulsive sound is recognized. We found that tapping transmits indicates human intention to a machine, if we choose an appropriate analysis wavelet and its scaling parameter. We found that Daubechies wavelet function parameters were feasible for our purpose at N=3 (order) and j=8 (scaling parameter). This interface should prove useful for orders in regular work and emergency stoppage.

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Nikolic, Nemanja, Ljubisa Bojic, and Lana Tucakovic. "Brain-machine interface: New challenge for humanity." Filozofija i drustvo 33, no. 2 (2022): 283–96. http://dx.doi.org/10.2298/fid2202283n.

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The aim of this paper is to clarify specific aspects of the impact of the brain-machine interface on our understanding of subjectivity. The brain-machine interface is presented as a phase of cyborgization of humans. Some projects in the field of brain-machine interface are aimed at enabling consensual telepathy - communication without symbolic mediation. Consensual telepathy refers to one of potential ways of transmission of information within singularity. Therefore, consensual telepathy is an important aspect of singularity. Singularity or human-machine symbiosis shows some similarities with child-mother unity. Therefore, the psychodynamic perspective might be considered useful in thinking about human-machine symbiosis. Knowledge from developmental psychodynamic psychology combined with insights by Slavoj Zizek and Jean Baudrillard provides an additional perspective looking at human-machine symbiosis. The paper claims that if consensual telepathy becomes another way of communication, it will have the potential to annihilate subjectivity making it schizophrenic. At the same time, we look at the possibility of an escape from our inner world through the prism of addictions.

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XIE, Ning, Dengkai CHEN, Yao ZHOU, and Xian ZHANG. "A method for evaluating human-machine interface in civil aircraft cockpit based on human factor reliability." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 40, no. 6 (2022): 1250–60. http://dx.doi.org/10.1051/jnwpu/20224061250.

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In order to reduce the probability of human error in the cockpit of a civil aircraft, based on the SHEL model, this paper classifies performance shaping factors (PSF) that affect the human factor reliability of the human-machine interface. Then it constructs the relevant PSF system and uses the interpretation structure model to establish the corresponding adjacency matrix. When a multi-level recursive structure is obtained, the Noisy-OR model is introduced to construct the Bayesian network, thus establishing the new human-machine interface evaluation method. Real cases are used to verify the effectiveness of the method thus established through causal inference with the Bayesian network. The evaluation method for the reliability of a set of human factors this paper proposes provides a new approach to evaluating the human-machine interface in the cockpit of a civil aircraft.

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Lagari, Pola Lydia, Antonia Nasiakou, and Miltiadis Alamaniotis. "Evaluation of Human Machine Interface (HMI) on a Digital and Analog Control Room in Nuclear Power Plants Using a Fuzzy Logic Approach." International Journal of Monitoring and Surveillance Technologies Research 4, no. 2 (2016): 50–68. http://dx.doi.org/10.4018/ijmstr.2016040104.

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Nuclear Power Plants (NPPs) are nowadays facing a transition from analog to digital control rooms, mainly in the form of new interfaces for displaying sensor information as of Human Machine Interface (HMI) were one-sided, taking into consideration either the human or the machine perspective. The approach presented in the present article considers human machine interfaces met in nuclear power plants as a joint system, where the performance of the NPP operator is evaluated according to the cooperation level achieved with the machine. In particular, the purpose of this study is to provide a methodology to evaluate the degree of flexibility of an operator during the transition period from an analog to a digital system. The proposed methodology has been implemented by utilizing fuzzy logic inference and realized with the fuzzy toolbox embedded in Matlab software.

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Duan, Yu An, Hai Tao Song, and Yan Ming Sun. "The User-Oriented Design and Practice of HMI." Applied Mechanics and Materials 58-60 (June 2011): 1819–23. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.1819.

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HMI (Human-machine Interface) is the media of communication between human and the computer system; designers should not only consider the completeness of its functions in the design of software products, but also human factors. It is necessary for the software products to meet the functional requirements of users, besides; a friendly interface is also needed to improve customers’ satisfaction while improving users’ productivity. This paper discusses the principles and specific method of designing a user-centered human-machine interface and then applies the method in the design of the mounter’s interface so as to test the method put forward in the paper.

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SUZUKI, IZUMI, and ARIO OHSATO. "FUZZY IDENTIFICATION OF THE USER'S REQUIREMENTS IN THE HUMAN INTERFACE OF MAN-MACHINE SYSTEMS BY THE GLOBAL LEARNING METHOD." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 07, no. 04 (1999): 415–22. http://dx.doi.org/10.1142/s0218488599000374.

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This paper presents a "Global Learning Method" (G.L.M.) that can be used to construct a human-friendly interface for man-machine systems. The aims of the G.L.M. is to identify, in a user-friendly manner, the user's requirements of the environments by means of a fuzzy set in order to give adequate instructions to the machine to make a desired environment for the user. First, man-machine systems are considered from the viewpoint of human friendly interface. Second, the G.L.M. is proposed, and third, the method is applied to the practical problem of identifying the user's requirements in a color environment of the Graphical User Interface (GUI) of personal computers and the results are shown. Finally, the effectiveness of introducing the G.L.M. to the construction of a human friendly interface is discussed from the viewpoint of man-machine systems.

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Ping, Liu, Shu Jun Huang, Jin Zhen Fan, and Guo Yong Lin. "Design of FANUC System Human-Machine Interface and Machine Realization Based on C Language." Advanced Materials Research 472-475 (February 2012): 375–79. http://dx.doi.org/10.4028/www.scientific.net/amr.472-475.375.

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The user interface of FANUC CNC system provides only the basic functions, leading to the state and performance of the real-time data can’t be shown to the users, and affect the machining accuracy, efficiency and machine maintenance. A method is proposed that the independent user interface of FANUC CNC system developed in C language for secondary, designed the friendly Human-Machine interface. The function of the interface have real-time processing to extract the status screen、classification detection devices screen、self-diagnosis display screen、help information display screen etc. After the application of CNC machine, the machine failure rate has dropped, the maintenance time has be reduced, and it can reflect the designer's intent and style of the machine manufacturer.

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Lu, Jian Tao, and Yan Hui Zhu. "Research on Vague Evaluation Based on Loader Cab Man-Machine Inferface." Applied Mechanics and Materials 145 (December 2011): 510–14. http://dx.doi.org/10.4028/www.scientific.net/amm.145.510.

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In this paper, the application of fuzzy mathematics theory to the loader cab man-machine interface analysis and evaluation, preliminary built the interface multi level comprehensive evaluation model, using alternative score set membership function, through the evaluation model of certain type of loader cab man-machine interface for comprehensive evaluation, conducive to the realization of the loader driving human-machine interface optimal design target.

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Liu, Yiqun, Jiaxin Mao, Xiaohui Xie, Min Zhang, and Shaoping Ma. "Challenges in designing a brain-machine search interface." ACM SIGIR Forum 54, no. 2 (2020): 1–13. http://dx.doi.org/10.1145/3483382.3483387.

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While search engines have reshaped how human beings learn and think, the interaction paradigm of search has remained relatively stable for decades. With the development of neural science and biomedical engineering, it is possible to build a direct communication pathway between a computing device and the human brain via Brain-machine Interfaces (BMIs), which may revolutionize the search paradigm in a predictable future. Therefore, in this paper, we extensively discuss the possibility, benefits, and potential challenges in using BMI as a new interface for search, and call for more research efforts in this promising direction.

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Rizzoglio, Fabio, Maura Casadio, Santis Dalia De, and Ferdinando Mussa-Ivaldi. "Building an adaptive interface via unsupervised tracking of latent manifolds." Neural Networks 137, May 2021 (2021): 174–87. https://doi.org/10.1016/j.neunet.2021.01.009.

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In human–machine interfaces, decoder calibration is critical to enable an effective and seamless interaction with the machine. However, recalibration is often necessary as the decoder off-line predictive power does not generally imply ease-of-use, due to closed loop dynamics and user adaptation that cannot be accounted for during the calibration procedure. Here, we propose an adaptive interface that makes use of a non-linear autoencoder trained iteratively to perform online manifold identification and tracking, with the dual goal of reducing the need for interface recalibration and enhancing human–machine joint performance. Importantly, the proposed approach avoids interrupting the operation of the device and it neither relies on information about the state of the task, nor on the existence of a stable neural or movement manifold, allowing it to be applied in the earliest stages of interface operation, when the formation of new neural strategies is still on-going. In order to more directly test the performance of our algorithm, we defined the autoencoder latent space as the control space of a body–machine interface. After an initial offline parameter tuning, we evaluated the performance of the adaptive interface versus that of a static decoder in approximating the evolving low-dimensional manifold of users simultaneously learning to perform reaching movements within the latent space. Results show that the adaptive approach increased the representational efficiency of the interface decoder. Concurrently, it significantly improved users’ task-related performance, indicating that the development of a more accurate internal model is encouraged by the online co-adaptation process.

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Perez, Elisa, Natalia López, Eugenio Orosco, Carlos Soria, Vicente Mut, and Teodiano Freire-Bastos. "Robust Human Machine Interface Based on Head Movements Applied to Assistive Robotics." Scientific World Journal 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/589636.

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This paper presents an interface that uses two different sensing techniques and combines both results through a fusion process to obtain the minimum-variance estimator of the orientation of the user’s head. Sensing techniques of the interface are based on an inertial sensor and artificial vision. The orientation of the user’s head is used to steer the navigation of a robotic wheelchair. Also, a control algorithm for assistive technology system is presented. The system is evaluated by four individuals with severe motors disability and a quantitative index was developed, in order to objectively evaluate the performance. The results obtained are promising since most users could perform the proposed tasks with the robotic wheelchair.

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Motienko, Anna, Irina Vatamaniuk, and Anton Saveliev. "Development of technical appearance of human-machine interface for group control of unmanned robots when performing agricultural tasks." Robotics and Technical Cybernetics 9, no. 4 (2022): 299–311. http://dx.doi.org/10.31776/rtcj.9407.

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Abstract One of the promising areas of using robotic systems (RS) is group control of robots. The means of ensuring the operator's interaction with autonomous RS for monitoring and remote control - the human-machine interface (HMI) of the robotic systems, are discussed in the paper. The foreign and domestic publications describing existing approaches and priority directions to the construction of HMIs for various types of robotic systems - ground and air, as well as modern commercial solutions in this area are analyzed in the paper. The performed analysis allows us to conclude that the most popular and convenient type of human-machine interface for the types of robotic systems under consideration today is a digital application with a graphical interface. To implement complex scenarios of human-machine interaction, combinations of several methods are used, such as: a digital application with a graphical interface, virtual reality tools, gesture recognition, voice commands. The technical appearance of the man-machine interface of group unmanned robots based on the results of the analysis was developed. It ensures the prompt formulation of the applied problem to be solved and the subsequent control of its execution by the operator. The proposed solution is intuitive and flexible, which provides the user with a higher speed of information processing. Key words Group robotics, human-machine interface (HMI), group control of robots, HMI architecture, robotic system.

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Zander, Thorsten O., and Christian Kothe. "Towards passive brain–computer interfaces: applying brain–computer interface technology to human–machine systems in general." Journal of Neural Engineering 8, no. 2 (2011): 025005. http://dx.doi.org/10.1088/1741-2560/8/2/025005.

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