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Relevant bibliographies by topics / Human machine interaction

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Academic literature on the topic 'Human machine interaction'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 October 2024

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Journal articles on the topic "Human machine interaction"

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Prepin, Ken, and Arnaud Revel. "Human–machine interaction as a model of machine–machine interaction: how to make machines interact as humans do." Advanced Robotics 21, no. 15 (January 2007): 1709–23. http://dx.doi.org/10.1163/156855307782506192.

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Imamguluyev, Rahib, Tunzala Imanova, Parvana Hasanova, Ulviyya Poladova, Jamala Nabiyeva, Arzu Mammadova, Sevda Hajizada, and Hagigat Amrullayev. "Revolutionizing Human-Machine Interaction: Fuzzy Logic in interface Design." International Journal of Research Publication and Reviews 5, no. 8 (August 2024): 2939–49. http://dx.doi.org/10.55248/gengpi.5.0824.2155.

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Hoc, Jean-Michel. "From human – machine interaction to human – machine cooperation." Ergonomics 43, no. 7 (July 2000): 833–43. http://dx.doi.org/10.1080/001401300409044.

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Liu, Conghui. "Human-Machine Trust Interaction." International Journal of Dependable and Trustworthy Information Systems 1, no. 4 (October 2010): 61–74. http://dx.doi.org/10.4018/jdtis.2010100104.

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Improving user’s trust appropriately could help in designing an intelligent system and make it work effectively, especially with the fast growth of Web-base technology. This chapter introduces the solutions of improving user’s trust in human-machine interaction (HMI), especially for electronic commerce (e-commerce). The author firstly reviews the concept of trust and the main factors that affects the appropriateness of user’s trust in human-machine interaction, such as the properties of machine systems, the properties of human, and context. On the basis of these, the author further discusses the current state, challenges, problems and limitations of establishing and improving the user’s trust in human-machine interaction. Finally, the author summarizes and evaluates the existing solutions for improving the user’s trust appropriately in e-commerce environment.

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Meyer, Joachim, Chris Miller, Peter Hancock, Ewart J. de Visser, and Michael Dorneich. "Politeness in Machine-Human and Human-Human Interaction." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 279–83. http://dx.doi.org/10.1177/1541931213601064.

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Computers communicate with humans in ways that increasingly resemble interactions between humans. Nuances in expression and responses to human behavior become more sophisticated, and they approach those of human-human interaction. The question arises whether we want systems eventually to behave like humans, or whether systems should, even when much more developed, still adhere to rules that are different from the rules governing interpersonal communication. The panel addresses this issue from various perspectives, eventually aiming to gain some insights into the question of the direction to which the development of machine-human communication and the etiquette implemented in the systems should move.

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King, Raymond E. "Handbook of human-machine interaction." Aviation, Space, and Environmental Medicine 83, no. 8 (August 1, 2012): 811. http://dx.doi.org/10.3357/asem.3232.2012.

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Okura, Michiko. "Interface for Human-machine Interaction." TRENDS IN THE SCIENCES 10, no. 8 (2005): 52–55. http://dx.doi.org/10.5363/tits.10.8_52.

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Gouvrit, Florence. "Empathy and Human-Machine Interaction." International Journal of Synthetic Emotions 4, no. 2 (July 2013): 8–21. http://dx.doi.org/10.4018/ijse.2013070102.

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This paper presents the framework of the author’s practice and research exploring empathy and human-machine interaction in projects involving robotic art and video installations and performance. The works investigate emotions and embodiment, presence and absence, relationships and loss, and ways to implicate these ideas in encounters between technology-based artwork and the viewer.

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NEWELL, CHRISTOPHER, ALISTAIR D. N. EDWARDS, and PAUL CAIRNS. "‘Liveness’ in human-machine interaction." International Journal of Performance Arts and Digital Media 7, no. 2 (October 4, 2011): 221–37. http://dx.doi.org/10.1386/padm.7.2.221_1.

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Haqqu, Rizca, and Salwa Nur Rohmah. "Interaction Process Between Humans and ChatGPT in the Context of Interpersonal Communication." Jurnal Ilmiah LISKI (Lingkar Studi Komunikasi) 10, no. 1 (April 5, 2024): 23. http://dx.doi.org/10.25124/liski.v10i1.7216.

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This study examines human interaction with artificial intelligence technology, focusing on the implementation of ChatGPT, a chatbot developed by OpenAI. Through the Human-Machine Communication (HMC) approach, the research describes human-like attributes in ChatGPT, exploring emotional responses and utility in educational, professional, and personal contexts. Qualitative research methods with triangulation techniques were used for a holistic understanding, involving interviews, observations, and document analysis. The results indicate that ChatGPT can provide adaptive responses, adjusting language style, and presenting information with self-awareness. Comparisons between human-to-human and human-to-machine interactions, particularly through ChatGPT, reveal significant differences. In human-to-human communication, the primary role is given to humans as message sources, while in machine communication, ChatGPT becomes an interactive partner, especially in text messages. Despite similarities in interpersonal communication features, such as feedback, personal relationship cues are more pronounced in human-to-human interactions. Factors like self-concept, openness, and confidence are dominant in human-to-human communication, while AI literacy becomes crucial in interactions with machines. Keywords: Human-Machine Communication, ChatGPT, Interaction, Interpersonal

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Dissertations / Theses on the topic "Human machine interaction"

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Gouvrit, Montaño Florence. "Empathy and Human-Machine Interaction." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1313442553.

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MANURI, FEDERICO. "Visualization and Human-Machine Interaction." Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2673784.

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The digital age offers a lot of challenges in the eld of visualization. Visual imagery has been effectively used to communicate messages through the ages, to express both abstract and concrete ideas. Today, visualization has ever-expanding applications in science, engineering, education, medicine, entertainment and many other areas. Different areas of research contribute to the innovation in the eld of interactive visualization, such as data science, visual technology, Internet of things and many more. Among them, two areas of renowned importance are Augmented Reality and Visual Analytics. This thesis presents my research in the fields of visualization and human-machine interaction. The purpose of the proposed work is to investigate existing solutions in the area of Augmented Reality (AR) for maintenance. A smaller section of this thesis presents a minor research project on an equally important theme, Visual Analytics. Overall, the main goal is to identify the most important existing problems and then design and develop innovative solutions to address them. The maintenance application domain has been chosen since it is historically one of the first fields of application for Augmented Reality and it offers all the most common and important challenges that AR can arise, as described in chapter 2. Since one of the main problem in AR application deployment is reconfigurability of the application, a framework has been designed and developed that allows the user to create, deploy and update in real-time AR applications. Furthermore, the research focused on the problems related to hand-free interaction, thus investigating the area of speech-recognition interfaces and designing innovative solutions to address the problems of intuitiveness and robustness of the interface. On the other hand, the area of Visual Analytics has been investigated: among the different areas of research, multidimensional data visualization, similarly to AR, poses specific problems related to the interaction between the user and the machine. An analysis of the existing solutions has been carried out in order to identify their limitations and to point out possible improvements. Since this analysis delineates the scatterplot as a renowned visualization tool worthy of further research, different techniques for adapting its usage to multidimensional data are analyzed. A multidimensional scatterplot has been designed and developed in order to perform a comparison with another multidimensional visualization tool, the ScatterDice. The first chapters of my thesis describe my investigations in the area of Augmented Reality for maintenance. Chapter 1 provides definitions for the most important terms and an introduction to AR. The second chapter focuses on maintenance, depicting the motivations that led to choose this application domain. Moreover, the analysis concerning open problems and related works is described along with the methodology adopted to design and develop the proposed solutions. The third chapter illustrates how the adopted methodology has been applied in order to assess the problems described in the previous one. Chapter 4 describes the methodology adopted to carry out the tests and outlines the experimental results, whereas the fifth chapter illustrates the conclusions and points out possible future developments. Chapter 6 describes the analysis and research work performed in the eld of Visual Analytics, more specifically on multidimensional data visualizations. Overall, this thesis illustrates how the proposed solutions address common problems of visualization and human-machine interaction, such as interface de- sign, robustness of the interface and acceptance of new technology, whereas other problems are related to the specific research domain, such as pose tracking and reconfigurability of the procedure for the AR domain.

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Ogrinc, Matjaž. "Information acquisition in physical human-machine interaction." Thesis, Imperial College London, 2017. http://hdl.handle.net/10044/1/58935.

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Exploration is an active, closed loop process, where actions are coordinated to maximise sensory information gain through perception. Exploratory actions provide complementary and redundant sensory information, which our brain efficiently combines to reduce the uncertainty about the natural environment. As humans increasingly interact with machines, there is a growing need for human-machine interfaces to support natural interactions and efficient information display. The integration of sensory cues allows humans to resolve ambiguities in everyday natural interactions. Here, this mechanism is exploited to enhance information transfer of abstract tactile cues. This thesis develops a feedback method based on vibrotactile apparent motion, where an array of stimulators is excited in a particular spatio-temporal pattern to induce an illusion of motion across the skin. In the proposed approach, the speed of motion is coupled with additional cues to ease the discrimination between similar speeds. The increased throughput of information promises an efficient and convenient way for substitution of auditory or visual navigation cues. Sensory loss and dysfunctions, and cognitive disorders, such as blindness, tactile hypersensitivity and autism, often severely constrain one's ability to function. Assistive technology can greatly improve their life, such as in the case of tactile sensory substitution devices for visually and hearing impaired. However, as sensory impairments sometimes lead to cognitive dysfunctions, it is crucial to consider these relationships when designing assistive devices. Here, a case study investigated the use of vibrotactile cues to communicate with a deafblind autistic individual during equestrian therapy. The approach was validated by evaluating the individual's sensory perception and motor behaviour. Human ability to acquire and act upon sensory information trough touch is possible thanks to simultaneous control of arm motion, force and impedance. This capability remains absent in human machine interactions, such as in the case of VR and telerobotics, due to the complexity of arm impedance estimation. A novel approach is demonstrated here where impedance control is achieved by simplifying the model of human arm use. The benefits are demonstrated in virtual object manipulation. The improved control of contact dynamics promise more efficient exploration of virtual and remote environments. This thesis presents methods for efficient information transfer through tactile perception by both sensory feedback and motor actions. The capabilities and limitations of the human sensorimotor system are carefully considered and employed to design wearable interfaces applied to sensory substitution and telerobotics.

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Gnjatović, Milan. "Adaptive dialogue management in human-machine interaction." München Verl. Dr. Hut, 2009. http://d-nb.info/997723475/04.

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Westerberg, Simon. "Semi-Automating Forestry Machines : Motion Planning, System Integration, and Human-Machine Interaction." Doctoral thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-89067.

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The process of forest harvesting is highly mechanized in most industrialized countries, with felling and processing of trees performed by technologically advanced forestry machines. However, the maneuvering of the vehicles through the forest as well as the control of the on-board hydraulic boom crane is currently performed through continuous manual operation. This complicates the introduction of further incremental productivity improvements to the machines, as the operator becomes a bottleneck in the process. A suggested solution strategy is to enhance the production capacity by increasing the level of automation. At the same time, the working environment for the operator can be improved by a reduced workload, provided that the human-machine interaction is adapted to the new automated functionality. The objectives of this thesis are 1) to describe and analyze the current logging process and to locate areas of improvements that can be implemented in current machines, and 2) to investigate future methods and concepts that possibly require changes in work methods as well as in the machine design and technology. The thesis describes the development and integration of several algorithmic methods and the implementation of corresponding software solutions, adapted to the forestry machine context. Following data recording and analysis of the current work tasks of machine operators, trajectory planning and execution for a specific category of forwarder crane motions has been identified as an important first step for short term automation. Using the method of path-constrained trajectory planning, automated crane motions were demonstrated to potentially provide a substantial improvement from motions performed by experienced human operators. An extension of this method was developed to automate some selected motions even for existing sensorless machines. Evaluation suggests that this method is feasible for a reasonable deviation of initial conditions. Another important aspect of partial automation is the human-machine interaction. For this specific application a simple and intuitive interaction method for accessing automated crane motions was suggested, based on head tracking of the operator. A preliminary interaction model derived from user experiments yielded promising results for forming the basis of a target selection method, particularly when combined with some traded control strategy. Further, a modular software platform was implemented, integrating several important components into a framework for designing and testing future interaction concepts. Specifically, this system was used to investigate concepts of teleoperation and virtual environment feedback. Results from user tests show that visual information provided by a virtual environment can be advantageous compared to traditional video feedback with regards to both objective and subjective evaluation criteria.

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DE, PACE FRANCESCO. "Natural and multimodal interfaces for human-machine and human-robot interaction." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2918004.

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Georgiev, Nikolay. "Assisting physiotherapists by designing a system utilising Interactive Machine Learning." Thesis, Uppsala universitet, Institutionen för informatik och media, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447489.

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Millions of people throughout the world suffer from physical injuries and impairments and require physiotherapy to successfully recover. There are numerous obstacles in the way of having access to the necessary care – high costs, shortage of medical personnel and the need to travel to the appropriate medical facilities, something even more challenging during the Covid-19 pandemic. One approach to addressing this issue is to incorporate technology in the practice of physiotherapists, allowing them to help more patients. Using research through design, this thesis explores how interactive machine learning can be utilised in a system, designed for aiding physiotherapists. To this end, after a literature review, an informal case study was conducted. In order to explore what functionality the suggested system would need, an interface prototype was iteratively developed and subsequently evaluated through formative testing by three physiotherapists. All participants found value in the proposed system, and were interested in how such a system can be implemented and potentially used in practice. In particular the ability of the system to monitor the correct execution of the exercises by the patient, and the increased engagement during rehabilitative training brought by the sonification. Several suggestions for future developments in the topic are also presented at the end of this work.

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Nguyen, Van Toi. "Visual interpretation of hand postures for human-machine interaction." Thesis, La Rochelle, 2015. http://www.theses.fr/2015LAROS035/document.

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Aujourd'hui, les utilisateurs souhaitent interagir plus naturellement avec les systèmes numériques. L'une des modalités de communication la plus naturelle pour l'homme est le geste de la main. Parmi les différentes approches que nous pouvons trouver dans la littérature, celle basée sur la vision est étudiée par de nombreux chercheurs car elle ne demande pas de porter de dispositif complémentaire. Pour que la machine puisse comprendre les gestes à partir des images RGB, la reconnaissance automatique de ces gestes est l'un des problèmes clés. Cependant, cette approche présente encore de multiples défis tels que le changement de point de vue, les différences d'éclairage, les problèmes de complexité ou de changement d'environnement. Cette thèse propose un système de reconnaissance de gestes statiques qui se compose de deux phases : la détection et la reconnaissance du geste lui-même. Dans l'étape de détection, nous utilisons un processus de détection d'objets de Viola Jones avec une caractérisation basée sur des caractéristiques internes d'Haar-like et un classifieur en cascade AdaBoost. Pour éviter l'influence du fond, nous avons introduit de nouvelles caractéristiques internes d'Haar-like. Ceci augmente de façon significative le taux de détection de la main par rapport à l'algorithme original. Pour la reconnaissance du geste, nous avons proposé une représentation de la main basée sur un noyau descripteur KDES (Kernel Descriptor) très efficace pour la classification d'objets. Cependant, ce descripteur n'est pas robuste au changement d'échelle et n'est pas invariant à l'orientation. Nous avons alors proposé trois améliorations pour surmonter ces problèmes : i) une normalisation de caractéristiques au niveau pixel pour qu'elles soient invariantes à la rotation ; ii) une génération adaptative de caractéristiques afin qu'elles soient robustes au changement d'échelle ; iii) une construction spatiale spécifique à la structure de la main au niveau image. Sur la base de ces améliorations, la méthode proposée obtient de meilleurs résultats par rapport au KDES initial et aux descripteurs existants. L'intégration de ces deux méthodes dans une application montre en situation réelle l'efficacité, l'utilité et la faisabilité de déployer un tel système pour l'interaction homme-robot utilisant les gestes de la main
Nowadays, people want to interact with machines more naturally. One of the powerful communication channels is hand gesture. Vision-based approach has involved many researchers because this approach does not require any extra device. One of the key problems we need to resolve is hand posture recognition on RGB images because it can be used directly or integrated into a multi-cues hand gesture recognition. The main challenges of this problem are illumination differences, cluttered background, background changes, high intra-class variation, and high inter-class similarity. This thesis proposes a hand posture recognition system consists two phases that are hand detection and hand posture recognition. In hand detection step, we employed Viola-Jones detector with proposed concept Internal Haar-like feature. The proposed hand detection works in real-time within frames captured from real complex environments and avoids unexpected effects of background. The proposed detector outperforms original Viola-Jones detector using traditional Haar-like feature. In hand posture recognition step, we proposed a new hand representation based on a good generic descriptor that is kernel descriptor (KDES). When applying KDES into hand posture recognition, we proposed three improvements to make it more robust that are adaptive patch, normalization of gradient orientation in patches, and hand pyramid structure. The improvements make KDES invariant to scale change, patch-level feature invariant to rotation, and final hand representation suitable to hand structure. Based on these improvements, the proposed method obtains better results than original KDES and a state of the art method

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Spall, Roger Paul. "A human-machine interaction tool set for Smalltalk 80." Thesis, Sheffield Hallam University, 1990. http://shura.shu.ac.uk/20389/.

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This research represents an investigation into user acceptance of computer systems. It starts with the premise that existing systems do not fully meet user requirements, and are therefore rejected as 'difficult to use'. Various problems and influences affecting user acceptance are identified, and improvements are suggested. Although a broad range of factors affecting user acceptance are discussed, emphasis is given to the impact of actual computer software. Initially, both general and specific user interface software influences are examined, and it is shown how these needs can be met using new software technology. A new Intelligent Interface architecture model is presented, and comparisons are made to existing interface design approaches. Secondly, the role of empirical work within the field of Human Computer Interaction is highlighted. An investigation into the usability and user. acceptance of a large working library database system is described, and the results discussed. The role of Systems Analysis and Design and its effect upon user acceptance is also explored. It is argued that despite improvements in interface technology and related software engineering techniques, a software application is also a product of the Systems Analysis and Design process. Traditional Systems Design approaches are examined, and suitable improvements suggested based upon experience with emerging separable software architectures. Thirdly, the research proceeds to examine the potential of Quantitative User Modelling, and describes the implementation of an example object oriented Quantitative User Model. This is then evaluated in order to determine new knowledge, concerning the major issues surrounding the potential application of user modelling to interface design. Finally, attention is given to the concept of interface and application separation. An object oriented User Interface Management System is presented, and its implementation in the Smalltalk 80 programming language discussed. The proposed User Interface Management System utilises a new software architecture which provides explicit user interface separation, using the concept of a Pluggable View Controller. It also incorporates an integrated design Tool-set for Direct Manipulation interfaces. The proposed User Interface Management System and software architecture represents the major contribution of this project to the growing body of Human Computer Interaction research. In particular, the importance of explicit interface separation is established, and the proposed software architecture is critically evaluated to determine new knowledge concerning the requirements, constraints, and potential of proper user interface separation. The implementation of an object oriented Part Hierarchy mechanism is also presented. This mechanism is related to the proposed User Interface Management System, and is critically evaluated in order to add to the body of knowledge concerning object oriented systems.

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Wood, David K. "Learning from Gross Motion Observations of Human-Machine Interaction." Thesis, The University of Sydney, 2011. https://hdl.handle.net/2123/29223.

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This thesis discusses the problems inherent in the modelling and classification of human interactions with robots using gross motions observations. Contributions to this field are one approach by which robots can be made socially aware, at a low enough cost for the commercialisation of such systems to be viable. In general, it cheaper and simpler both in terms of sensing requirements and computational power to determine the position of a person participating in an interaction than to attempt to perform more advanced operations such as face detection and recognition, gaze tracking or gesture recognition. Being able to perform classification and modelling of human behaviour from gross motion observations is a useful ability for the designers of such HRI systems to have at their disposal. Two contributions are made to the problem of gross motion modelling and classifica— tion. The first is an approach to measuring error levels implicit to the models learned in a generative classification scenario. By comparing the results from these model— based error measures to the results obtained from more traditional data-based error measures an assessment can be made about how well the internal models within the classifier represent the true state of the world. A method is also presented to sum— marise these comparisons using the symmetric Kullback—Leibler divergence, enabling the rapid analysis of the large numbers of classifiers produced with the application of cross—validation techniques. The second contribution is a taxonomy of feature representations and a set of design rules derived from this taxonomy for the representation of human—robot interaction modelling features. These rules are focussed on gross motion features, but can be extended to cover almost any human-robot interaction modelling or classification task. These two contributions are then demonstrated on interaction data gathered from the Fish—Bird new media artwork. This is a challenging problem due to the interaction parameters being modelled, however the use of a rigorous design approach and the application of the divergence measures derived earlier in the thesis enable targeted analysis and useful conclusions to be drawn. Results are shown to demonstrate these applications.

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Books on the topic "Human machine interaction"

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Lalanne, Denis, and Jürg Kohlas, eds. Human Machine Interaction. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00437-7.

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Gao, Shuo, Shuo Yan, Hang Zhao, and Arokia Nathan. Touch-Based Human-Machine Interaction. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68948-3.

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Mansour, Rahimi, and Karwowski Waldemar 1953-, eds. Human-robot interaction. London: Taylor & Francis, 1992.

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Alex, Kirlik, ed. Adaptive perspectives on human-technology interaction: Methods and models for cognitive engineering and human-computer interaction. Oxford, UK: Oxford University Press, 2005.

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Biswas, Pradipta. Inclusive Human Machine Interaction for India. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06500-7.

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Hui, Toni. The fish: A human-machine interaction. [London]: Middlesex Polytechnic, 1991.

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Roberto, Cipolla, and Pentland Alex Paul, eds. Computer vision for human-machine interaction. Cambridge: Cambridge University Press, 1998.

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-F, Kraiss K., ed. Advanced man-machine interaction: Fundamentals and implementation. Berlin: Springer, 2006.

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Weiss, Benjamin. Talker Quality in Human and Machine Interaction. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-22769-2.

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Dhilipan, J., V. Saravanan, and R. Agusthiyar. Human Machine Interaction in the Digital Era. London: CRC Press, 2024. http://dx.doi.org/10.1201/9781003428466.

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Book chapters on the topic "Human machine interaction"

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Medenica, Zeljko. "Human Machine Interaction." In Wireless Networks, 59–82. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94785-3_3.

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Kaindl, Hermann. "Human-Machine Interaction." In Advances in Intelligent Systems and Computing, 428–33. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25629-6_66.

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Goldena, Nancy Jasmine. "Overview of Human-Computer Interaction." In Machine Intelligence, 13–45. Boca Raton: Auerbach Publications, 2023. http://dx.doi.org/10.1201/9781003424550-2.

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Zelinsky, Alexander. "Visual Human-Machine Interaction." In Advanced Topics in Artificial Intelligence, 440–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-46695-9_37.

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Edwards, Autumn. "Human–Robot Interaction." In The Sage Handbook of Human–Machine Communication, 167–77. 1 Oliver's Yard, 55 City Road London EC1Y 1SP: SAGE Publications Ltd, 2023. http://dx.doi.org/10.4135/9781529782783.n21.

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Soroko, Edward M., and Sergey V. Kirpich. "Harmonization criterion for the man-machine interaction." In Human Computer Interaction, 427–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-57312-7_96.

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Pols, Louis C. W. "The Use of Speech in Man-Machine Interaction." In Human-Computer Interaction, 361–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73402-1_23.

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Biswas, Pradipta. "User Interaction." In Inclusive Human Machine Interaction for India, 39–61. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06500-7_3.

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Rueckert, Ulrich. "Human-Machine Interaction and Cognitronics." In The Frontiers Collection, 549–62. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-18338-7_28.

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Jander, Hans, and Jens Alfredson. "Human-Machine Interaction Evaluation Framework." In Human-Computer Interaction. Human-Centred Design Approaches, Methods, Tools, and Environments, 221–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39232-0_25.

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Conference papers on the topic "Human machine interaction"

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Kumar, S. Vinod, Dinesh Mishra, Uma Reddy, Amandeep Nagpal, Ashwani Kumar, and Zahraa Saad Al-Asadi. "Human-Machine Interaction Systems for Training Industrial Robots." In 2024 OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 4.0, 1–6. IEEE, 2024. http://dx.doi.org/10.1109/otcon60325.2024.10687996.

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Babu, Gotru Jeevan, S. Safrinfathima, K. Deekshith Reddy, and Sanjay Kumar Sen. "Transforming Human-Machine Interaction: Generative AI Virtual Asst." In 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS), 1–5. IEEE, 2024. http://dx.doi.org/10.1109/ickecs61492.2024.10617388.

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Fahlquist, Karin, Johannes Karlsson, Haibo Li, Li Liu, Keni Ren, Shafiq ur Réhman, and Tim Wark. "Human animal machine interaction." In the international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1873951.1874201.

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Al-Fedaghi, Sabah. "Informational human-machine interaction." In 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2008. http://dx.doi.org/10.1109/icsmc.2008.4811308.

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Shier, W. A., and S. N. Yanushkevich. "Biometrics in human-machine interaction." In 2015 International Conference on Information and Digital Technologies (IDT). IEEE, 2015. http://dx.doi.org/10.1109/dt.2015.7222989.

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"Human, Computer and Machine Interaction." In 2020 IEEE 18th International Conference on Industrial Informatics (INDIN). IEEE, 2020. http://dx.doi.org/10.1109/indin45582.2020.9442200.

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"Human, Computer and Machine Interaction." In 2019 IEEE 17th International Conference on Industrial Informatics (INDIN). IEEE, 2019. http://dx.doi.org/10.1109/indin41052.2019.8972156.

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"Human machine interaction [breaker page]." In 2014 7th International Conference on Human System Interactions (HSI). IEEE, 2014. http://dx.doi.org/10.1109/hs.2014.6860442.

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"Human machine interaction and robotics." In 2017 10th International Conference on Human System Interactions (HSI). IEEE, 2017. http://dx.doi.org/10.1109/hsi.2017.8005018.

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"Human Computer and Machine Interaction." In 2019 12th International Conference on Human System Interaction (HSI). IEEE, 2019. http://dx.doi.org/10.1109/hsi47298.2019.8942618.

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Reports on the topic "Human machine interaction"

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Bass, Len, and Joelle Coutaz. Human-Machine Interaction Considerations for Interactive Software. Fort Belvoir, VA: Defense Technical Information Center, February 1989. http://dx.doi.org/10.21236/ada206574.

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Murray, Steven A. Human-Machine Interaction With Multiple Autonomous Sensors. Fort Belvoir, VA: Defense Technical Information Center, June 1995. http://dx.doi.org/10.21236/ada422501.

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Martinovsky, Bilyana, and David Traum. The Error Is the Clue: Breakdown In Human-Machine Interaction. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada459168.

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Razdan, Rahul. Unsettled Topics Concerning Human and Autonomous Vehicle Interaction. SAE International, December 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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Fang, Chen. Unsettled Issues in Vehicle Autonomy, Artificial Intelligence, and Human-Machine Interaction. SAE International, April 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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Mygal, Galyna, Olga Protasenko, and Natalia Kobrina. Research of human-machine interaction on the example of the “operator-UAV” system. Peeref, April 2023. http://dx.doi.org/10.54985/peeref.2304p6788671.

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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, October 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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Bruun, Laura, Marta Bo, and Netta Goussac. Compliance with International Humanitarian Law in the Development and Use of Autonomous Weapon Systems: What does IHL Permit, Prohibit and Require? Stockholm International Peace Research Institute, March 2023. http://dx.doi.org/10.55163/dfxr3984.

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It is undisputed that the development and use of autonomous weapon systems (AWS) must comply with international humanitarian law (IHL). However, how IHL rules should be interpreted and applied in the context of AWS remains, in some respects, unclear or disputed. With a particular focus on human–machine interaction, this report aims to facilitate a deeper understanding of this issue. Informed by an in-person expert workshop that SIPRI convened in November 2022 and contributions to the international policy discussion on AWS, the report maps areas of common ground and identifies aspects that warrant further clarification concerning what key rules of IHL, particularly those guiding the conduct of hostilities, permit, prohibit and require in the development and use of AWS. In doing so, the report provides a baseline for policymakers to advance discussions around what types and uses of AWS are (or should be) prohibited or regulated under existing IHL.

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Bao, Jieyi, Xiaoqiang Hu, Cheng Peng, Junyi Duan, Yizhou Lin, Chengcheng Tao, Yi Jiang, and Shuo Li. Advancing INDOT’s Friction Test Program for Seamless Coverage of System: Pavement Markings, Typical Aggregates, Color Surface Treatment, and Horizontal Curves. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317734.

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Various highway projects, roadway safety, and maintenance all hinge on pavement friction. INDOT's pavement friction test program has played a crucial role in addressing issues like wet pavement crash reduction, durable pavements surface friction, and sustainable aggregates. However, changes in the transportation sector, allied industries, societal needs, and economics present unique challenges that require proactive solutions. First, the existing field friction testing method, which uses a locked wheel skid tester (LWST) is limited to straight, flat pavement sections and excludes crash-prone areas like horizontal curves. Upgrading the program to cover horizontal curves on two-lane rural highways is vital for road safety. Second, the demand for friction testing on pavement markings at crash sites is rising. There's currently no widely accepted standard method for national-scale pavement marking friction testing. The shift to wider longitudinal pavement markings, from 4" to 6", driven by both human and autonomous vehicle safety, presents challenges for motorcyclists and pedestrians. The third challenge focuses on Color Surface Treatment (CST), which is increasingly used in Indiana bus and bike lanes for visibility, lane discipline, and friction performance, especially under frequent bus acceleration and braking. However, a lack of laboratory and field data necessitates investigating CST's metrics and requirements for adequate friction. Advancing INDOT's friction testing program to cover the entire highway system and address emerging friction challenges is imperative. The goals of this study included enhancing INDOT's friction testing, ensuring comprehensive highway network coverage and providing reliable friction data to help INDOT address safety concerns. The research encompassed a thorough evaluation of various aggregates and pavement marking materials commonly used in Indiana through laboratory experiments, field tests, and data analysis to unveil their influence on pavement friction. Field friction measurements on colored bus and bike lanes were also conducted and thoroughly analyzed. Moreover, the tire-pavement interaction on horizontal curves was assessed on airport runways and highway sections through mechanistic-empirical analysis, and a friction testing model for horizontal curves was devised using finite element analysis and machine learning methodologies.

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Shukla, Indu, Rajeev Agrawal, Kelly Ervin, and Jonathan Boone. AI on digital twin of facility captured by reality scans. Engineer Research and Development Center (U.S.), November 2023. http://dx.doi.org/10.21079/11681/47850.

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The power of artificial intelligence (AI) coupled with optimization algorithms can be linked to data-rich digital twin models to perform predictive analysis to make better informed decisions about installation operations and quality of life for the warfighters. In the current research, we developed AI connected lifecycle building information models through the creation of a data informed smart digital twin of one of US Army Corps of Engineers (USACE) buildings as our test case. Digital twin (DT) technology involves creating a virtual representation of a physical entity. Digital twin is created by digitalizing data collected through sensors, powered by machine learning (ML) algorithms, and are continuously learning systems. The exponential advance in digital technologies enables facility spaces to be fully and richly modeled in three dimensions and can be brought together in virtual space. Coupled with advancement in reinforcement learning and computer graphics enables AI agents to learn visual navigation and interaction with objects. We have used Habitat AI 2.0 to train an embodied agent in immersive 3D photorealistic environment. The embodied agent interacts with a 3D environment by receiving RGB, depth and semantically segmented views of the environment and taking navigational actions and interacts with the objects in the 3D space. Instead of training the robots in physical world we are training embodied agents in simulated 3D space. While humans are superior at critical thinking, creativity, and managing people, whereas robots are superior at coping with harsh environments and performing highly repetitive work. Training robots in controlled simulated world is faster and can increase their surveillance, reliability, efficiency, and survivability in physical space.

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