Relevant bibliographies by topics / Human-to-machine interface

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Human-to-machine interface'

Author: Grafiati
Published: 5 June 2025
Last updated: 16 July 2025

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

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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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Dissertations / Theses on the topic "Human-to-machine interface"

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Mellor, Edward William. "A component-based approach to human-machine interface systems that support agile manufacturing." Thesis, Loughborough University, 2006. https://dspace.lboro.ac.uk/2134/33648.

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The development of next generation manufacturing systems is currently an active area of research worldwide. Globalisation is placing new demands on the manufacturing industry with products having shorter lifecycles and being required in more variants. Manufacturing systems must therefore be agile to support frequent manufacturing system reconfiguration involving globally distributed engineering partners. The research described in this thesis addresses one aspect within this research area, the Human Machine Interface (HMI) system that support the personnel involved in the monitoring, diagnostics and reconfiguration of automated manufacturing production machinery. Current HMI systems are monolithic in their design, generally offer poor connectivity to other manufacturing systems and require highly skilled personnel to develop and maintain them. The new approach established in the research and presented in this thesis provides a specification capture technique (using a novel storyboarding modelling notation) that enables the end users HMI functionality to be specified and rapidly developed into fully functional End User HMI's via automated generation tools. A novel feature in this HMI system architecture that all machine information is stored in a common unified machine data model which ensures consistent accurate machine data is available to all machine lifecycle engineering tools including the HMI. The system's run-time architecture enables remote monitoring and diagnostics capabilities to be available to geographically distributed engineering partners using standard internet technologies. The implementation of this novel HMI approach has been prototyped and evaluated using the industrial collaborators full scale demonstrator machines within cylinder head machining and engine assembly applications.
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Fern, Lisa C. "A Cognitive Systems Engineering Approach to Developing Human Machine Interface Requirements for New Technologies." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461248106.

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Doron, Abraham. "Use of programmable logic controller and human-machine interface software to improve homework achievements." Thesis, Anglia Ruskin University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392295.

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Roksic, Sandra. "An Inclusive Design Approach to Integrating an External Human Machine Interface with Autonomous Vehicles." DigitalCommons@CalPoly, 2021. https://digitalcommons.calpoly.edu/theses/2328.

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As autonomous vehicles become more prevalent in urban traffic settings, the safety of vulnerable road users, predominantly pedestrians, must be placed in high regard relative to the design of the autonomous vehicle's (AV's) external human machine interface (HMI). Traditionally, there exist communication methods between drivers and pedestrians, such as hand gestures, eye contact, and verbal cues that convey the driver's awareness of the pedestrian's presence. However, with autonomous vehicles, there is a shift in communicative responsibility from the driver to the vehicle itself. It is the vehicle's responsibility to intuitively and clearly indicate its actions to the pedestrian. This research analyzes the factors contributing to AV skepticism and the ways in which the visual aspect of an AV's external HMI can be improved from traditional vehicle designs to accommodate visually impaired pedestrians. This was achieved by performing a study on 27 participants varying in age, gender, and vision impairment type. The study includes a survey and interview portion. Findings indicate that yellow and blue colors are viewed as most welcoming and memorable. It is suggested that these colors be used in the projected light system of the external HMI design. Quantitative results indicate that there is a moderate degree of correlation between the following: the use of cruise control and vision impairment severity (negative correlation), a participant's willingness to ride in an AV and vision impairment levels (positive correlation). The study also found a low degree of correlation in a participants willingness to ride in an AV and their trust in AVs. Based on these findings and under the assumption than an external HMI is needed on the AV, it is recommended that the external HMI contain a light projection system on the vehicle's front body. Based on qualitative results, the light projection system should use a teal color light and project a directional arrow onto the ground when identifying a pedestrian in its path while turning. Intuitive signals such as these help ensure pedestrian safety and promote trust and acceptance of the use of autonomous vehicles on public roads.
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Wu, Jaichun. "The development and implementation of an intelligent, semantic machine control system with specific reference to human-machine interface design." Thesis, Cape Peninsula University of Technology, 2005. http://hdl.handle.net/20.500.11838/2292.

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Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2005.<br>This thesis explores the design and implementation of an intelligent semantic machine control system with specific reference to human-machine interface design. The term "intelligent" refers to machines that can execute some level of decision taking in context. The term "semantic" refers to a structured language that allows user and machine to communicate. This study will explore all the key concepts about an intelligent semantic machine control system with human-machine interface. The key concepts to be investigated will include Artificial Intelligence, Intelligent Control, Semantics, Intelligent Machine Architecture, Human-Machine Interaction, Information systems and Graphical User Interface. The primary purpose of this study is to develop a methodology for designing a machine control system and its related human-machine interface.
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MALATESTA, ALESSANDRO. "Design of hardware architectures for HMM–based signal processing systems with applications to advanced human-machine interfaces." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2009. http://hdl.handle.net/2108/945.

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In questa tesi viene proposto un nuovo approccio per lo sviluppo di interfacce uomo–macchina. In particolare si tratta il caso di sistemi di pattern recognition che fanno uso di Hidden Markov Models per la classificazione. Il progetto di ricerca è partito dall’ideazione di nuove tecniche per la realizzazione di sistemi di riconoscimento vocale per parlato spontaneo. Gli HMM sono stati scelti come lo strumento algoritmico di base per la realizzazione del sistema. Dopo una fase di studio preliminare gli obiettivi sono stati estesi alla realizzazione di una architettura hardware in grado di fornire uno strumento riconfigurabile che possa essere utilizzato non solo per il riconoscimento vocale, ma in qualsiasi tipo di classificatore basato su HMM. Il lavoro si concentra quindi sullo sviluppo di architetture hardware dedicate, ma nuovi risultati sono stati ottenuti anche a livello di applicazione per quanto riguarda la classificazione di segnali elettroencefalografici attraverso gli HMM. Innanzitutto state sviluppata una architettura a livello di sistema applicabile a qualsiasi sistema di pattern recognition che faccia usi di HMM. L’architettura stata concepita in modo tale da essere utilizzabile come un sistema stand–alone. Definita l’architettura, un processore hardware per HMM, completamente riconfigurabile, stato decritto in linguaggio VHDL e simulato con successo. Un array parallelo di questi processori costituisce di fatto il nucleo di processamento dell’architettura sviluppata. Sulla base del progetto in VHDL, due piattaforme di prototipaggio rapido basate su FPGA sono state selezionate per dei test di implementazione. Diverse configurazioni costituite da array paralleli di processori HMM sono state implementate su FPGA. Le soluzioni che offrivano un miglior compromesso tra prestazioni e quantità di risorse hardware utilizzate sono state selezionate per ulteriori analisi. Un sistema software per il pattern recognition basato su HMM stato scelto come sistema di riferimento per verificare la corretta funzionalità delle architetture implementate. Diversi test sono stati progettati per validare che il funzionamento del sistema corrispondesse alle specifiche iniziali. Le versioni implementate del sistema sono state confrontate con il software di riferimento sulla base dei risultati forniti dai test. Dal confronto è stato possibile appurare che le architetture sviluppate hanno un comportamento corrispondente a quello richiesto. Infine le implementazioni dell’array parallelo di processori HMM `e sono state applicate a due applicazioni reali: un riconoscitore vocale, ed un classificatore per interfacce basate su segnali elettroencefalografici. In entrambi i casi l’architettura si è dimostrata in grado di gestire l’applicazione senza alcun problema. L’uso del processamento hardware per il riconoscimento vocale apre di fatto la strada a nuovi sviluppi nel campo grazie al notevole incremento di prestazioni ottenibili in termini di tempo di esecuzione. L’applicazione al processamento dell’EEG, invece, introduce di fatto un approccio completamente nuovo alla classificazione di questo tipo di segnali, e mostra come in futuro potrebbe essere possibile lo sviluppo di interfacce basate sulla classificazione dei segnali generati dal pensiero spontaneo. I possibili sviluppi del lavoro iniziato con questa tesi sono molteplici. Una direzione possibile è quella dell’implementazione completa dell’architettura proposta come un sistema stand–alone riconfigurabile per l’accelerazione di sistemi per pattern recognition di qualsiasi natura purchè basati su HMM. Le potenzialità di tale sistema renderebbero possibile la realizzazione di classificatiori in tempo reale con un alto grado di complessità, e quindi allo sviluppo di interfacce realmente multimodali, con una vasta gamma di applicazioni, dai sistemi di per lo spazio a quelli di supporto per persone disabili.<br>In this thesis a new approach is described for the development of human–computer interfaces. In particular the case of pattern recognition systems based on Hidden Markov Models have been taken into account. The research started from he development of techniques for the realization of natural language speech recognition systems. The Hidden Markov Model (HMM) was chosen as the main algorithmic tool to be used to build the system. After the early work the goal was extended to the development of an hardware architecture that provided a reconfigurable tool to be used in any pattern recognition task, and not only in speech recognition. The whole work is thus focused on the development of dedicated hardware architectures, but also some new results have been obtained on the classification of electroencephalographic signals through the use of HMMs. Firstly a system–level architecture has been developed to be used in HMM based pattern recognition systems. The architecture has been conceived in order to be able to work as a stand–alone system. Then a VHDL description has been made of a flexible and completely reconfigurable hardware HMM processor and the design was successfully simulated. A parallel array of these processors is actually the core processing block of the developed architecture. Then two suitable FPGA based, fast prototyping platforms have been identified to be the targets for the implementation tests. Different configurations of parallel HMM processor arrays have been set up and mapped on the target FPGAs. Some solutions have been selected to be the best in terms of balance between performance and resources utilization. Furthermore a software HMM based pattern recognition system has been chosen to be the reference system for the functionality of the implemented subsystems. A set of tests have been developed with the aim to test the correct functionality of the hardware. The implemented system was compared to the reference system on the basis of the tests’ results, and it was found that the behavior was the one expected and the required functionality was correctly achieved. Finally the implementation of the parallel HMM array was tested through its application to two real–world applications: a speech recognition task and a brain–computer interface task. In both cases the architecture showed to be functionally suitable and powerful enough to handle the task without problems. The application of the hardware processing to speech recognition opens new perspectives in the design of this kind of systems because of the dramatic increment in performance. The application to brain–computer interface is really interesting because of a new approach in the classification of EEG that shows how could be possible a future development of interfaces based on the classification of spontaneous thought. The possible evolution directions of the work started with this thesis are many. Effort could be spent of the implementation of the developed architecture as a stand–alone reconfigurable system suitable for any kind of HMM–based pattern recognition task. The potential performance of such a system could open the way to extremely complex real–time pattern recognition systems, and thus to the realization of truly multimodal interfaces, with a variety of applications, from space to aid systems for the impaired.
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Bradshaw, Jennie (Sheila Jennie). "Human-machine interface : a case study to investigate the effect of a newly introduced system on the work morale of the people who interact with it." Thesis, Stellenbosch : Stellenbosch University, 2003. http://hdl.handle.net/10019.1/53452.

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Thesis (MPhil)--Stellenbosch University, 2003.<br>ENGLISH ABSTRACT: This study aims to investigate a work environment into which a new workflow system, that automates the work process, has recently been introduced. The study will focus on the level of work morale displayed by the people active in this new environment, as well as their perception of their work. The study takes the form of a case study carried out in the Nedcor Home Loans Application Processing Centre. This centre is the central area in which all home loan applications for the entire Gauteng, North West, Orange Free State, Mpumalanga and Limpopo regions are collated and processed. The applications from these regions translate into a total of between 9 and 13 thousand applications each month. The home loan application process is the most complex of the banking application processes as it involves a number of interfaces with external parties and systems. The workflow system was introduced in order to simplify, co-ordinate and accelerate this process. The study was conducted using D. A. De Vaus's Surveys in Social Research, Fourth Edition, a methodology for surveys in social research, as a guideline. A structured questionnaire was constructed in order to collect data regarding the opinions and behaviour of the sample members. A pilot study was conducted with 10 of the sample members in order to test and refine the survey instrument. Following this, the updated survey instrument was distributed to the sample group. The population of the case study environment consisted of less than 100 people all situated in one location. For this reason the entire survey population was selected as the sample population. The data collected described the sample members' attitudes towards work, their relationships with their colleagues, as well as their perceptions of their opportunities for personal growth, as a measure of their level of work morale. Information describing the employees perceived type of work was also collected. This was done by accumulating information regarding the level of thinking, responsibility and monotony that characterised their work, as well as the proportion of time that staff members spent interacting directly with the system. After the survey implementation, the data was collated and analysed. The reliability of the data was tested using Cronbach's alpha. Data that originated from concepts with Cronbach's alpha scores of below 0,6 were deemed to be unreliable and were removed from the dataset. A correlation analysis, using Spearman's rank correlation, was conducted on the remaining data. This analysis was aimed at establishing whether any correlations between the type of work carried out by an employee and his or her associated level of work morale exist. It was established that the level of work morale that characterised the case study environment was relatively low, as will be discussed in detail in Chapter 5. Furthermore, it was ascertained that the introduction of the system had a significant influence on the nature of the work carried out by the staff in the case study environment, and that a strong correlation existed between the type of work carried out by an employee and his or her associated level of work morale. From this it was concluded that the introduction of the system influenced the level of work morale found to characterise the case study environment.<br>AFRIKAANSE OPSOMMING: Die doelwit van hierdie studie is om 'n werksomgewing te evalueer waar 'n nuwe werkvloeistelsel, wat prosesse outomatiseer, onlangs geimplementeer is. Die studie fokus op die vlak van werk moraal wat vertoon word deur mense in hierdie nuwe omgewing, sowel as hulle persepsie van hul werk. Die studie neem die vorm aan van 'n gevallestudie wat uitgevoer is in die Nedcor Huislening Applikasie Sentrum. Hierdie sentrum is die sentrale plek waar alle huislening applikasies vir die Gauteng, Noordwes, Vrystaat, Mpumalanga en Limpopo gebiede versamel en verwerk word. Die hoeveelheid applikasies in hierdie gebiede is tussen 9 000 en 13 000 per maand. Die huislening applikasie proses is die mees komplekse proses van alle bank applikasie prosesse, aangesien dit 'n aantal integrasies met eksterne partye en stelsels vereis. Die werkvloeistelsel is geimplementeer om hierdie prosesse te vereenvoudig, te koordineer en te versnel. Die studie is uitgevoer deur D.A. De Vaus se "Surveys in Social Research, Fourth Edition, a methodology for surveys in social research" as 'n verwysingsraamwerk te gebruik. 'n Gestruktureerde vraelys is saamgestel om data te versamel oor die menings en gedrag van die lede in die toetsgroep. 'n Proefstudie is uitgevoer met 10 lede van die toetsgroep om die opname-instrument te toets en te verfyn. Daarna is die opgedateerde opname instrument onder die toetsgroep versprei. Die bevolking van die gevallestudie bestaan uit minder as 100 mense wat almal in dieselfde lokasie geplaas is. Om hierdie rede is die totale bevolking gekies as die toetsgroep. Die data wat versamel is het die lede van die toetsgroep se houdings teenoor hulle werk, hulle verhoudings met hulle kollegas, sowel as hulle persepsie van geleenthede vir persoonlike groei, beskryf. Die data is gebruik as 'n aanduiding van hul vlak van werk moraal. Data wat die werknemers se persepsie van hulle tipe werk weerspieel, is ook versamel. Data oor die denkvlak, verantwoordelikheid en eentonigheid van hulle werk, sowel as die hoeveelheid tyd wat personeellede spandeer het op direkte interaksie met die stelsel. Na die implementering van die opname, is die data versamel en geanaliseer. Die betroubaarheid van die data is getoets deur Cronbach se alpha toets toe te pas. Data, waar die indikator se Cronbach alpha telling minder was as 0.6, is geag as onbetroubaar en is verwyder van die datastel. 'n Korrelasie-analise is uitgevoer op die oorblywende data, deur gebruik te maak van Spearman se korrelasie mode. Die analise is daarop gefokus om te bepaal of daar enige ooreenstemming is tussen 'n werknemer se tipe werk en sy of haar verwante vlak van werkmoraal. Daar is gevind dat die vlak van werkmoraal wat hierdie studie kenmerk, relatief laag is. Dit sal verder bestudeer work in hoofstuk 5. Daar is ook bevind dat die instelling van die stelsel 'n beduidende invloed het op die werk wat uitgevoer word deur die betrokke personeel in die gevallestudie-omgewing. Daar is 'n sterk korrelasie tussen die tipe werk en die vlak van werk moraal van werknemers. Die gevolgtrekking is dus dat die instelling van die stelsel die vlak van werkmoraal beinvloed het in hierdie gevallestudie.
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RIZZOGLIO, FABIO. "Nonlinear dimensionality reduction for human movement analysis with application to body machine interfaces." Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1038287.

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For my PhD project, I set to explore how a nonlinear dimensionality reduction (DR) technique - autoencoder networks (AEs) - can identify low-dimensional latent manifolds of movement data. The thesis focuses on the application of this technique to body machine interfaces (BoMIs). I begin by comparing nonlinear AEs to Principal Component Analysis (PCA), a linear DR method, in capturing essential information of kinematic signals, including hand gestures and object manipulations, as well as electromyographic signals (EMG) obtained from unconstrained movements of shoulders and arms. AEs exhibited higher performance than PCA in the reconstruction of hand kinematic and EMG data from a latent manifold. Therefore, a non-linear DR method has the potential to provide a more effective coding platform for human-machine interfaces (HMIs). I therefore investigated how the choice of hyperparameters (e.g., type of activation function, number of hidden layers, etc.) affected the shape of the latent manifold, particularly its local curvature, and whether these potential effects were correlated with changes in reconstruction performance. To gain more consistent insights on the structure of the nonlinear latent manifold, I developed a visual tool based on classic concepts of cartography. This display offers a direct and intuitive assessment of the AE’s nonlinear transformation. I was able to demonstrate that the cartographic approach makes the visible structure of the latent manifold stable and independent of the AE’s training parameters. As such, the proposed approach is a step toward defining a unique latent manifold. After analyzing the properties of both linear (PCA) and nonlinear (AE) DR techniques, I focused on their applications within the control-scheme of a BoMI. First, I aimed at providing BoMI users with the possibility to switch seamlessly between movement and EMG control. Such approach is essential to utilize the BoMI as a therapeutic tool for promoting recovery of muscle control after neurological injury. In the clinical context it is essential to adapt the operation of the BoMI to the evolving state of its users. My guiding hypothesis for this purpose is that the operation of the interface is facilitated if the BoMI forward map is updated online to match the evolving latent manifold of the user’s motions. Results show that this adaptive approach increased the representational efficiency of the interface and significantly improved users’ task-related performance. As an extension of the application of AE-based BoMI, I developed a non-linear BoMI designed to control an assistive 4D virtual robotic manipulator and tested the interface on a cohort of unimpaired participants, who successfully acquired a high level of robot control. To conclude, I investigated whether AEs can represent and estimate motor learning during the operation of a BoMI. This final study demonstrates that in fact this nonlinear method is effective to accurately track users’ learning process.
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Lin, Laura. "Applying human factors engineering to medical device design, an empirical evaluation of patient-controlled analgesia machine interfaces." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ29431.pdf.

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Dhakal, Parashar. "Novel Architectures for Human Voice and Environmental Sound Recognitionusing Machine Learning Algorithms." University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1531349806743278.

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Books on the topic "Human-to-machine interface"

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P, Marsh Jonathon, Gorayska Barbara, and Mey Jacob, eds. Humane interfaces: Questions of method and practice in cognitive technology. Elsevier, 1999.

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Bødker, Susanne. Through the interface: A human activity approach to user interface design. Lawrence Erlbaum, 1991.

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Bødker, Susanne. Through the interface: A human activity approach to user interface design. Aarhus Universitet, Matematisk Institut, Datalogisk Afdeling, 1987.

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Cavicchio, Federica, and Emanuela Magno Caldognetto, eds. Aspetti emotivi e relazionali nell'e-learning. Firenze University Press, 2008. http://dx.doi.org/10.36253/978-88-8453-833-8.

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This book investigates the role of emotions and multimodal communication in face-to-face teaching and in e-learning, and assesses the incidence of these not merely verbal components on the cognitive processes of the student. It also presents certain types of man-machine interface that utilise natural language in written, vocal and multimodal form; the latter implement a new metaphor of interaction with the computer that is more human-oriented. This is, therefore, a new and interdisciplinary theme of research that highlights the technical and theoretical complexity that e-learning specialists and scholars of multimodal communication and emotions address in order to devise new systems of human-computer communication that are more natural and more motivating for learning.
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(Editor), J. P. Marsh, B. Gorayska (Editor), and J. L. Mey (Editor), eds. Humane Interfaces (Human Factors in Information Technology). North Holland, 1999.

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Muggleton, Stephen, and Nicholas Chater, eds. Human-Like Machine Intelligence. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198862536.001.0001.

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In recent years there has been increasing excitement concerning the potential of Artificial Intelligence to transform human society. This book addresses the leading edge of research in this area. The research described aims to address present incompatibilities of Human and Machine reasoning and learning approaches. According to the influential US funding agency DARPA (originator of the Internet and Self-Driving Cars) this new area represents the Third Wave of Artificial Intelligence (3AI, 2020s–2030s), and is being actively investigated in the US, Europe and China. The EPSRC’s UK network on Human-Like Computing (HLC) was one of the first internationally to initiate and support research specifically in this area. Starting activities in 2018, the network represents around sixty leading UK groups Artificial Intelligence and Cognitive Scientists involved in the development of the inter-disciplinary area of HLC. The research of network groups aims to address key unsolved problems at the interface between Psychology and Computer Science. The chapters of this book have been authored by a mixture of these UK and other international specialists based on recent workshops and discussions at the Machine Intelligence 20 and 21 workshops (2016,2019) and the Third Wave Artificial Intelligence workshop (2019). Some of the key questions addressed by the Human-Like Computing programme include how AI systems might 1) explain their decisions effectively, 2) interact with human beings in natural language, 3) learn from small numbers of examples and 4) learn with minimal supervision. Solving such fundamental problems involves new foundational research in both the Psychology of perception and interaction as well as the development of novel algorithmic approaches in Artificial Intelligence.
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The Human Interface: New Directions for Designing Interactive Systems. Addison Wesley, 2000.

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Humane interfaces: Questions of method and practice in cognitive technology. Elsevier, 1999.

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Raskin, Jef. The Humane Interface: New Directions for Designing Interactive Systems (ACM Press). Addison-Wesley Professional, 2000.

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Hanaway-Oakley, Cleo. Machine–Humans and Body-Subjects. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198768913.003.0004.

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This chapter presents an alternative to the popular critical vein that sees Joyce’s Ulysses and early cinema as conveying a mechanical, impersonal view of the world. It is argued that Ulysses and certain genres of early cinema were engaged—naively or otherwise—in a revaluation of Cartesian dualism, involving the reappraisal of mind/body and human/machine binaries. The physical comedy of Bloom and Charlie Chaplin is analysed with reference to phenomenological ideas on prosthesis and the machine–human interface, while other genres of early cinema, such as Irish melodrama and trick films, are considered in the light of phenomenological theories of gesture and embodiment. By comically mocking mind/body separation and depicting the inseparability of subjectivity and corporeality, Joyce and the early film-makers go beyond the ideas of Bergson and anticipate Merleau-Ponty’s later notion of the ‘body-subject’.
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Book chapters on the topic "Human-to-machine interface"

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Metnitz, G. H. "From Human Action to Data: Man-Machine Interface in Manual Data Entries." In Anaesthesia, Pain, Intensive Care and Emergency Medicine — A.P.I.C.E. Springer Milan, 1996. http://dx.doi.org/10.1007/978-88-470-2203-4_83.

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Sgouros, Spyros. "Man-to-Machine Interface in Neuroendoscopy: The Importance of Human Interface in the Development of Neuroendoscopy." In Neuroendoscopy. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39085-2_19.

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Christmann, Simon, Marvin Löhr, Imke Busboom, Volker K. S. Feige, and Hartmut Haehnel. "Towards Real-Time Human-Machine Interfaces for Robot Cells Using Open Standard Web Technologies." In Technologien für die intelligente Automation. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-662-64283-2_7.

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AbstractScreen-based human-machine interfaces are one of the most important elements of industrial automation technologies since modern production lines became too complex to be controlled by a simple start/stop button. While web-based user interfaces have been used in non-industrial areas for many years, they have only been used in industrial applications since the beginning of the Industry 4.0 movement. However, commercially available solutions do not yet have the intuitive operation that customers from non-industrial sectors are accustomed to. In this work, we present a proof-of-concept development that aims to create an intuitive web-based user interface for displaying robot movements. The robot is displayed in a WebGL-based visualization, which also allows user interaction. The user interface is created purely from open standard web technologies so that it works without plugins and is immediately usable in all modern browsers.
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Anokhin, Alexey, and Elena Alontseva. "Implementation of Human–Machine Interface Design Principles to Prevent Errors Committed by NPP Operators." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96077-7_81.

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Czerniak, Julia N., Valeria Villani, Lorenzo Sabattini, et al. "Systematic Approach to Develop a Flexible Adaptive Human-Machine Interface in Socio-Technological Systems." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96068-5_31.

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Myklebust, Thor, Tor Stålhane, and Dorthea Mathilde Kristin Vatn. "Human Aspects." In SpringerBriefs in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80504-2_16.

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Abstract Human considerations are central to the development of AI systems, especially in the context of agile safety planning. This chapter explores essential human aspects, such as situational awareness, controllability, and human oversight, which play a critical role in ensuring that high-risk AI systems operate safely and effectively. Through principles of human-centred design, the chapter also examines how interface design, agile development methods, and safety standards can support effective human–machine interaction. This understanding is essential for building AI systems that responsibly balance human involvement with automated processes in safety-critical environments.
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Zheng, Yahua, Kangrui Wu, Ruisi Shi, Xiaopeng Zhu, and Jingyu Zhang. "A Literature Review of Current Practices to Evaluate the Usability of External Human Machine Interface." In Engineering Psychology and Cognitive Ergonomics. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35389-5_40.

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Furuya, Tomokazu, and Mutsuki Kobayashi. "Vibrotactile Human Machine Interface for Electric Wheelchairs to Intuitively Present the Movement Direction of Nearby Objects." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35992-7_39.

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Dreslin, Brandon D., Molly C. Mersinger, Michelle Aros, et al. "Design to Align: Understanding the Relationship Between Driver Mental Models and Automotive Human-Machine Interface Design." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-94159-7_36.

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Arfini, Selene, Pierstefano Bellani, Andrea Picardi, Ming Yan, Fabio Fossa, and Giandomenico Caruso. "Design for Inclusivity in Driving Automation: Theoretical and Practical Challenges to Human-Machine Interactions and Interface Design." In Studies in Applied Philosophy, Epistemology and Rational Ethics. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39991-6_4.

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Conference papers on the topic "Human-to-machine interface"

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Ogunwale, Yetunde Esther. "Evolution of Human-Machine Translation: From Early Interface to Modern AI." In 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON). IEEE, 2024. https://doi.org/10.1109/nigercon62786.2024.10927385.

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Fujita, Y. "Time for tailoring human-machine interface technology to humans." In Proceedings of 1992 IEEE 5th Human Factors and Power Plants. IEEE, 1992. http://dx.doi.org/10.1109/hfpp.1992.283431.

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Lewis, P. B. "Application of WWW technology to the human-machine interface." In International Conference on People in Control (Human Interfaces in Control Rooms, Cockpits and Command Centres). IEE, 1999. http://dx.doi.org/10.1049/cp:19990188.

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Liu, Chiao, Andrew Berkovich, Song Chen, Hans Reyserhove, Syed Shakib Sarwar, and Tsung-Hsun Tsai. "Intelligent Vision Systems – Bringing Human-Machine Interface to AR/VR." In 2019 IEEE International Electron Devices Meeting (IEDM). IEEE, 2019. http://dx.doi.org/10.1109/iedm19573.2019.8993566.

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Hammi, Mohamed Tahar, Osman Salem, and Ahmed Mehaoua. "An EMG-based Human-Machine Interface to control multimedia player." In 2015 17th International Conference on E-health Networking, Application & Services (HealthCom). IEEE, 2015. http://dx.doi.org/10.1109/healthcom.2015.7454511.

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Lin, Y., and W. J. Zhang. "A Function-Behavior-State Approach to Designing Human-Machine Interface." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASME, 2004. http://dx.doi.org/10.1115/detc2004-57367.

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Yang, Genghuang, Feifei Wang, Shigang Cui, Li Zhao, Qingguo Meng, and Hongda Chen. "Multi-mode human-machine interface oriented to space service robot." In 2011 Fourth International Workshop on Advanced Computational Intelligence (IWACI 2011). IEEE, 2011. http://dx.doi.org/10.1109/iwaci.2011.6188615.

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Jin, Huibin, and Lei Wang. "Applying Situation Awareness to Human-Machine Interface Design of Aviation." In 2009 Second International Symposium on Knowledge Acquisition and Modeling. IEEE, 2009. http://dx.doi.org/10.1109/kam.2009.75.

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Sagardia, Mikel, Katharina Hertkorn, David Sierra Gonzalez, and Claudio Castellini. "Ultrapiano: A novel human-machine interface applied to virtual reality." In 2014 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2014. http://dx.doi.org/10.1109/icra.2014.6907142.

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Galara, Dominique, and Dominique Pirus. "Finding the way up to the standardization of Human Machine Interface." In 2007 IEEE 8th Human Factors and Power Plants and HPRCT 13th Annual Meeting. IEEE, 2007. http://dx.doi.org/10.1109/hfpp.2007.4413194.

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Reports on the topic "Human-to-machine interface"

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Donald D Dudenhoeffer and Burce P Hallbert. Technology Roadmap Instrumentation, Control, and Human-Machine Interface to Support DOE Advanced Nuclear Energy Programs. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/983948.

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Fang, Chen. Unsettled Issues in Vehicle Autonomy, Artificial Intelligence, and Human-Machine Interaction. SAE International, 2021. http://dx.doi.org/10.4271/epr2021010.

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Artificial intelligence (AI)-based solutions are slowly making their way into our daily lives, integrating with our processes to enhance our lifestyles. This is major a technological component regarding the development of autonomous vehicles (AVs). However, as of today, no existing, consumer ready AV design has reached SAE Level 5 automation or fully integrates with the driver. Unsettled Issues in Vehicle Autonomy, AI and Human-Machine Interaction discusses vital issues related to AV interface design, diving into speech interaction, emotion detection and regulation, and driver trust. For each of these aspects, the report presents the current state of research and development, challenges, and solutions worth exploring.
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Smith, Jijo K., Howell Li, and Darcy M. Bullock. Populating SAE J2735 Message Confidence Values for Traffic Signal Transitions Along a Signalized Corridor. Purdue University, 2019. http://dx.doi.org/10.5703/1288284317322.

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The communication between connected vehicles and traffic signal controllers is defined in SAE Surface Vehicle Standard J2735. SAE J2735 defines traffic signal status messages and a series of 16 confidence levels for traffic signal transitions. This paper discusses a statistical method for tabulating traffic signal data by phase and time of day and populating the SAE J2735 messages. Graphical representation of the red-green and green-yellow transitions are presented from six intersections along a 4-mile corridor for five different time of day timing plans. The case study provided illustrates the importance of characterizing the stochastic variation of traffic signals to understand locations, phases, and time of day when traffic indications operate with high predictability, and periods when there are large variations in traffic signal change times. Specific cases, such as low vehicle demand and occasional actuation of pedestrian phases are highlighted as situations that may reduce the predictability of traffic signal change intervals. The results from this study also opens up discussion among transportation professionals on the importance of consistent tabulation of confidence values for both beginning and end of green signal states. We believe this paper will initiate dialog on how to consistently tabulate important data elements transmitted in SAE J2735 and perhaps refine those definitions. The paper concludes by highlighting the importance of traffic engineers and connected vehicle developers to work together to develop shared visions on traffic signal change characteristics so that the in-vehicle use cases and human-machine interface (HMI) meet user expectations.
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Goffin, Bob. PR309-19202-R01 Current Control Technology for Compressor Stations. Pipeline Research Council International, Inc. (PRCI), 2019. http://dx.doi.org/10.55274/r0011629.

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This is a evaluation of available sensor, control, and data storage technology in use by the compressor industry. It briefly examines current, available but underutilized, and future technologies related to sensor technology, sensor power, communications topology and technology, controllers, human machine interfaces, control algorithms, operator level data access, and asset managers. Based on those observations, future research suggestions are offered.
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Pasupuleti, Murali Krishna. Augmented Human Intelligence: Converging Generative AI, Quantum Computing, and XR for Enhanced Human-Machine Synergy. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv525.

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Abstract: Augmented Human Intelligence (AHI) represents a paradigm shift in human-AI collaboration, leveraging Generative AI, Quantum Computing, and Extended Reality (XR) to enhance cognitive capabilities, decision-making, and immersive interactions. Generative AI enables real-time knowledge augmentation, automated creativity, and adaptive learning, while Quantum Computing accelerates AI optimization, pattern recognition, and complex problem-solving. XR technologies provide intuitive, immersive environments for AI-driven collaboration, bridging the gap between digital and physical experiences. The convergence of these technologies fosters hybrid intelligence, where AI amplifies human potential rather than replacing it. This research explores AI-augmented cognition, quantum-enhanced simulations, and AI-driven spatial computing, addressing ethical, security, and societal implications of human-machine synergy. By integrating decentralized AI governance, privacy-preserving AI techniques, and brain-computer interfaces, this study outlines a scalable framework for next-generation augmented intelligence applications in healthcare, enterprise intelligence, scientific discovery, and immersive learning. The future of AHI lies in hybrid intelligence systems that co-evolve with human cognition, ensuring responsible and transparent AI augmentation to unlock new frontiers in human potential. Keywords: Augmented Human Intelligence, Generative AI, Quantum Computing, Extended Reality, XR, AI-driven Cognition, Hybrid Intelligence, Brain-Computer Interfaces, AI Ethics, AI-enhanced Learning, Spatial Computing, Quantum AI, Immersive AI, Human-AI Collaboration, Ethical AI Frameworks.
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Razdan, Rahul. Unsettled Topics Concerning Human and Autonomous Vehicle Interaction. SAE International, 2020. http://dx.doi.org/10.4271/epr2020025.

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This report examines the current interaction points between humans and autonomous systems, with a particular focus on advanced driver assistance systems (ADAS), the requirements for human-machine interfaces as imposed by human perception, and finally, the progress being made to close the gap. Autonomous technology has the potential to benefit personal transportation, last-mile delivery, logistics, and many other mobility applications enormously. In many of these applications, the mobility infrastructure is a shared resource in which all the players must cooperate. In fact, the driving task has been described as a “tango” where we—as humans—cooperate naturally to enable a robust transportation system. Can autonomous systems participate in this tango? Does that even make sense? And if so, how do we make it happen?
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Martinez, Kimberly D., and Gaojian Huang. Exploring the Effects of Meaningful Tactile Display on Perception and Preference in Automated Vehicles. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2164.

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There is an existing issue in human-machine interaction, such that drivers of semi-autonomous vehicles are still required to take over control of the vehicle during system limitations. A possible solution may lie in tactile displays, which can present status, direction, and position information while avoiding sensory (e.g., visual and auditory) channels overload to reliably help drivers make timely decisions and execute actions to successfully take over. However, limited work has investigated the effects of meaningful tactile signals on takeover performance. This study synthesizes literature investigating the effects of tactile displays on takeover performance in automated vehicles and conducts a human-subject study to design and test the effects of six meaningful tactile signal types and two pattern durations on drivers’ perception and performance during automated driving. The research team performed a literature review of 18 articles that conducted human-subjects experiments on takeover performance utilizing tactile displays as takeover requests. Takeover performance in these studies were highlighted, such as response times, workload, and accuracy. The team then conducted a human-subject experiment, which included 16 participants that used a driving simulator to present 30 meaningful vibrotactile signals, randomly across four driving sessions measuring for reaction times (RTs), interpretation accuracy, and subjective ratings. Results from the literature suggest that tactile displays can present meaningful vibrotactile patterns via various in-vehicle locations to help improve drivers’ performance during the takeover and can be used to assist in the design of human-machine interfaces (HMI) for automated vehicles. The experiment yielded results illustrating higher urgency patterns were associated with shorter RTs and higher intuitive ratings. Also, pedestrian status and headway reduction signals presented shorter RTs and increased confidence ratings compared to other tactile signal types. Finally, the signal types that yielded the highest accuracy were the surrounding vehicle and navigation signal types. Implications of these findings may lie in informing the design of next-generation in-vehicle HMIs and future human factors studies on human-automation interactions.
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Muelaner, Jody Emlyn. Generative Design in Aerospace and Automotive Structures. SAE International, 2024. http://dx.doi.org/10.4271/epr2024016.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Semi-automated computational design methods involving physics-based simulation, optimization, machine learning, and generative artificial intelligence (AI) already allow greatly enhanced performance alongside reduced cost in both design and manufacturing. As we progress, developments in user interfaces, AI integration, and automation of workflows will increasingly reduce the human inputs required to achieve this. With this, engineering teams must change their mindset from designing products to specifying requirements, focusing their efforts on testing and analysis to provide accurate specifications.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;b&gt;Generative Design in Aerospace and Automotive Structures&lt;/b&gt; discusses generative design in its broadest sense, including the challenges and recommendations regarding multi-stage optimizations.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt;Click here to access the full SAE EDGE&lt;/a&gt;&lt;sup&gt;TM&lt;/sup&gt;&lt;a href="https://www.sae.org/publications/edge-research-reports" target="_blank"&gt; Research Report portfolio.&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;
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Bieder, Corinne. Bringing together humanity and technology in context: Future challenges for safety in high-risk industries. Fondation pour une Culture de Sécurité Industrielle, 2024. http://dx.doi.org/10.57071/twp391.

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This “Cahier de la sécurité industrielle” originates from FonCSI’s Strategic analysis “Work and workers in the 2040’s”. This project brought together a core group of academic researchers and scientific experts from industrial companies and organizations sponsoring FonCSI. They met about 15 times with the aim of exploring the impacts on the safety of high-hazard organizations of the megatrends our world and societies are undergoing. This document focuses on the role of humans and their relationship to technology. The fast pace of evolution of digital technologies is shaking up the conventional high-hazard industry landscape, introducing new challenges for safety. This document focuses on the role played by humans in the 2030-2040 timeframe as regards how safety is managed and governed. The results highlight the impact of the implicit framework adopted to appreciate the respective contributions of humans and digital technologies to the safety of high-hazard industries. Whereas a human-centered framework emphasizes specific human capabilities such as empathy, making sense, judgment, as critical to safety, a technology-centered one focuses on computational power and speed as promises to future safety. None of these frameworks opposing humans and digital technologies seems appropriate to account for real situations where they both coexist and are interrelated in more complex ways than just through man-machine interfaces. Furthermore, they are part of a broader social, political, organizational, and cultural context calling for qualifying absolute statements on Technology and Humanity. More generally, high-risk operations are complex. Thinking in terms of dichotomies (e.g., technology/humans; digital/non-digital) is too simplistic to anticipate the safety challenges ahead of us. Exploring the interrelations between humans and digital technologies includes investigating the context in which they evolve to frame possible future safety challenges in a relevant manner. This means involving diverse perspectives and disciplines to bring together humans and technologies in context and reflect the complex reality.
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Driving Confidence in a Connected Vehicle Environment: A Case Study of Expressway Work Zone. SAE International, 2020. http://dx.doi.org/10.4271/2020-01-5210.

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At present, how the application of connected vehicle technology will affect drivers’ driving psychology needs to be explored. As an important part of driving psychology, driving confidence can guide drivers to operate calmly when facing a complex traffic environment, which has an important impact on reducing accident rates and improving traffic efficiency. Based on the driving behavior data in the expressway work zone under a connected vehicle environment, this study mainly analyzed the difference between the psychological characteristics of drivers with warning information or without warning information when facing the work zone ahead. Firstly, based on driving simulation technology, the expressway work zone scene in a connected vehicle environment was designed, and the on-board human-machine interface was used to provide warning information of the work zone ahead. Secondly, the difference of drivers’ driving confidence in psychology when driving with or without warning information was analyzed by using the characteristics of average vehicle spatiotemporal diagram and gas pedal angle. Finally, a method of quantifying driving confidence was proposed, which used a kind of objective weighting method to get the weights between different indicators. Based on this method, drivers’ degree of driving confidence under two conditions was calculated. The results showed that connected vehicle technology could affect drivers’ driving confidence in psychology when facing the work zone ahead. In the connected vehicle environment, 82.9% of drivers’ degree of driving confidence would increase, and the average degree of driving confidence with warning information was 10.9% higher than that without warning information.
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