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Journal articles on the topic 'Assistance multimodale'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

Weiss, Manfred, and Manfred Laube. "Assistenz und Delegation mit mobilen Softwareagenten - Das Leitprojekt MAP (Assistance and Delegation using Software Agents - Lead Project MAP)." i-com 2, no. 2/2003 (February 1, 2003): 4–12. http://dx.doi.org/10.1524/icom.2.2.4.19593.

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ZusammenfassungIn diesem Bericht präsentieren wir die wesentlichen Ergebnisse aus dem interdisziplinären Leitprojekt Multimedia Arbeitsplatz der Zukunft (MAP). Die technologischen Ziele von MAP lagen in der Entwicklung innovativer und sicherer Technologien, Methoden, Architekturen und Softwarekomponenten für multimodale Interaktion und multimediale Kommunikation am und für den mobilen Arbeitsplatz. Softwareagententechnologie ermöglicht das Delegieren zeitaufwändiger Routineaufgaben und eine intelligente, proaktive Unterstützung von Geschäftsprozessen unter besonderer Berücksichtigung des mobilen Aspekts. Im Rahmen arbeits- und rechtswissenschaftlicher Begleitforschungsaktivitäten wurde auch der kritische Aspekt der Automatisierung rechtlich relevanter Transaktionen mittels Softwareagenten untersucht und die hierfür in MAP entwickelten Ansätze in einer Simulationsstudie validiert. Hier wurde in einzigartiger Weise technologische Innovation von Rechtsexperten, Psychologen, Soziologen, Arbeitswissenschaftlern und Vertretern der Gewerkschaften unterstützend begleitet, um die Akzeptanz und rechtliche Akzeptabilität der MAP-Ergebnisse sicherzustellen.
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2

Tiferes, Judith, Ann M. Bisantz, Matthew L. Bolton, D. Jeffery Higginbotham, Ryan P. O’Hara, Nicole K. Wawrzyniak, Justen D. Kozlowski, Basel Ahmad, Ahmed A. Hussein, and Khurshid A. Guru. "Multimodal team interactions in Robot-Assisted Surgery." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 518–22. http://dx.doi.org/10.1177/1541931213601118.

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Communication gaps have been systematically linked to failures during surgery; however few studies have addressed challenges related to the remoteness of the surgeon during robot-assisted surgery (RAS). While studies on team communication in the Operating Room (OR) rarely report on nonverbal aspects, our initial work has shown that the vast majority of interaction events between the console surgeon and the right bed side assistant is nonverbal. This study focuses on improving our understanding of the nature of the multimodal interactions between surgeons and right bed side assistants. Six robot-assisted radical prostatectomies were recorded and the interaction events between the surgeon and the right bed side assistant were categorized by type (verbal/nonverbal), topic, and sender. The proportion of verbal and nonverbal events varied with the topic of the interaction. Strategies to improve team communication during surgery should take into account both the use of nonverbal communication means and the change in communication strategies based on purpose.
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3

Rocha, Ana Patrícia, Maksym Ketsmur, Nuno Almeida, and António Teixeira. "An Accessible Smart Home Based on Integrated Multimodal Interaction." Sensors 21, no. 16 (August 13, 2021): 5464. http://dx.doi.org/10.3390/s21165464.

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Our homes are becoming increasingly sensorized and smarter. However, they are also becoming increasingly complex, making accessing them and their advantages difficult. Assistants have the potential for improving the accessibility of smart homes, by providing everyone with an integrated, natural, and multimodal way of interacting with the home’s ecosystem. To demonstrate this potential and contribute to more environmentally friendly homes, in the scope of the project Smart Green Homes, a home assistant highly integrated with an ICT (Information and communications technology) home infrastructure was developed, deployed in a demonstrator, and evaluated by seventy users. The users’ global impression of our home assistant is in general positive, with 61% of the participants rating it as good or excellent overall and 51% being likely or very likely to recommend it to others. Moreover, most think that the assistant enhances interaction with the smart home’s multiple devices and is easy to use by everyone. These results show that a home assistant providing an integrated view of a smart home, through natural, multimodal, and adaptive interaction, is a suitable solution for enhancing the accessibility of smart homes and thus contributing to a better living ambient for all of their inhabitants.
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4

Schultz, Carl, and Mehul Bhatt. "Multimodal spatial data access for architecture design assistance." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 26, no. 2 (April 20, 2012): 177–203. http://dx.doi.org/10.1017/s0890060412000066.

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AbstractWe present a multimodal spatial data access framework designed to serve the informational and computational requirements of architectural design assistance systems that are intended to provide intelligent spatial decision support and analytical capabilities. The framework focuses on multiperspective semantics, qualitative and artifactual spatial abstractions, and industrial conformance and interoperability within the context of the industry foundation classes. The framework provides qualitative and cognitively adequate representational mechanisms, and the formal interpretation of the structural form of indoor spaces that are not directly provided by conventional computer-aided design based or quantitative models of space. We illustrate the manner in which these representations directly provide the spatial abstractions that are needed to enable the implementation of intelligent analytical capabilities in design assistance tools. We introduce the framework, and also provide detailed use cases that illustrate the usability of the framework and the manner of its utilization within architectural design assistance systems.
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5

Herfet, Thorsten, Thomas Kirste, and Michael Schnaider. "EMBASSI multimodal assistance for infotainment and service infrastructures." Computers & Graphics 25, no. 4 (August 2001): 581–92. http://dx.doi.org/10.1016/s0097-8493(01)00086-3.

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6

Eisenmann, U., R. Metzner, C. R. Wirtz, and H. Dickhaus. "Integrating multimodal information for intraoperative assistance in neurosurgery." Current Directions in Biomedical Engineering 1, no. 1 (September 1, 2015): 188–91. http://dx.doi.org/10.1515/cdbme-2015-0047.

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AbstractComputer-assisted planning of complex neurosurgical interventions benefits from a variety of specific functions and tools. However, commercial planning- and neuronavigation systems are rather restrictive concerning the availability of innovative methods such as novel imaging modalities, fiber tracking algorithms or electrical dipole mapping. In this respect there is a demand for modular neurosurgical planning systems offering flexible interfaces for easy enhancement. Furthermore all relevant planning information should be available within neuron-avigation. In this work we present a planning system providing these capabilities and its suitability and application in a clinical setting. Our Multimodal Planning System (MOPS 3D) offers a variety of tools such as definition of trajectories for minimally invasive surgery, segmentation of ROIs, integration of functional information from atlas maps or magnetoencephalography. It also supplies plugin interfaces for future extensions. For intraoperative application MOPS is coupled with the neuronavigation system Brainlab Vector Vision Cranial/ENT (VVC). We evaluated MOPS in the Department of Neurosurgery at the University Hospital Heidelberg. Surgical planning and navigation was performed in 5 frequently occurring clinical cases. The time necessary for planning was between 5 and 15 minutes including data import, segmentation and planning tasks. The additional information intraoperatively provided by MOPS 3D was highly appreciated by the neurosurgeons and the performance was satisfactory.
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7

Gao, Yixing, Hyung Jin Chang, and Yiannis Demiris. "User Modelling Using Multimodal Information for Personalised Dressing Assistance." IEEE Access 8 (2020): 45700–45714. http://dx.doi.org/10.1109/access.2020.2978207.

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8

Kirchner, Elsa Andrea, Marc Tabie, and Anett Seeland. "Multimodal Movement Prediction - Towards an Individual Assistance of Patients." PLoS ONE 9, no. 1 (January 8, 2014): e85060. http://dx.doi.org/10.1371/journal.pone.0085060.

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9

Djaid, Nadia Touileb, Nadia Saadia, and Amar Ramdane-Cherif. "Multimodal Fusion Engine for an Intelligent Assistance Robot Using Ontology." Procedia Computer Science 52 (2015): 129–36. http://dx.doi.org/10.1016/j.procs.2015.05.041.

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10

Baeza, Rianna R., and Anil R. Kumar. "Perceived Usefulness of Multimodal Voice Assistant Technology." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (November 2019): 1560–64. http://dx.doi.org/10.1177/1071181319631031.

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Smart speaker devices are appealing to consumers, but the perceived usefulness of the multimodal voice experience is not fully understood. The purpose of this study was to evaluate the extent to which cognitive load, the relevance of visual information, and personality influence the perceived usefulness of multimodal voice assistant technology in a within-subjects repeated measures design. A multimodal voice prototype was created to answer the question, “What are some extreme weather conditions?” Nine variants, including 3, 5 and 7 system responses with relevant, irrelevant or no information presented on a screen were included. Three tasks were embedded within each condition (Stroop task, sort M&Ms and no task). Perceived usefulness score, recall, personality score, and fluctuations in galvanic skin response (GSR) values were the subjective and objective measures. The findings suggest that when there’s a smaller number of responses/words for the participant to attend to, and subsequently recall, in addition to relevant visual feedback to aid in that recall, they perceive the voice assistant experience to be more useful, while task conducted exhibits marginal significance in determining PU. Scores of conscientiousness, openness to experience, agreeableness, and neuroticism were successful in predicting some variation in the PU responses, while GSR data was not. It is highly recommended that UX designers of the multimodal interface create succinct voice responses with relevant visual feedback to accompany it, and to keep the main use cases of these products in mind to increase the experience’s PU and subsequent behavioral intention to use the product.
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11

Mykhaylov, B. "Mental Disturbances on Anti-terrorist Combatants in Ukraine." European Psychiatry 41, S1 (April 2017): S725—S726. http://dx.doi.org/10.1016/j.eurpsy.2017.01.1319.

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In Ukraine, the significant participants of the “Anti-Terroristic Operation” (ATO) need to provide a system of psychiatric, psychotherapeutic assistance. The 6 groups of disorders:– non-pathological reaction (Z65.5);– pathological reactions (F43.0);– neurotic disturbances (F45);– psychotic disturbances (F44);– PTSD (F43.1);– chronic personality changes (F62.0).The system of complex assistant was provided. Step 1: emergency psychological assistance. It is carried out on the basis of crisis intervention, that is defined as the emergency and urgent medical and psychological first aid, aimed at the return of the victim to the adaptive level of functioning, preventing progredient development of mental disorders, reducing the negative impact of a traumatic event. Step 2: medical and psychological support. The purpose is the relief of mental and behavioral disorders, prevention (secondary and tertiary), psychological maladjustment, progressive course of mental disorders, with the purpose, rational, suggestive, cognitive-behavioral (CBT), and others. The aim of psychotherapy is to support the patient's assistance, processing traumatic material revaluation of the crisis, a change of attitude, increased self-esteem, develop realistic perspectives and active life position. It is important to restore a sense of competence and design future in which you can use a good past experiences. Step 3: the primary goal of treatment is relief of anxiety and fear, stress, adaptation to the human life and activity in conditions of continuing psychogenic. The most effective method of psychotherapy in these cases is CBT. Step 4: supportive. All steps developed by multimodal model of psychotherapy.Disclosure of interestThe author has not supplied his/her declaration of competing interest.
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12

JOHNSTON, MICHAEL, and SRINIVAS BANGALORE. "Finite-state multimodal integration and understanding." Natural Language Engineering 11, no. 2 (May 19, 2005): 159–87. http://dx.doi.org/10.1017/s1351324904003572.

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Multimodal interfaces are systems that allow input and/or output to be conveyed over multiple channels such as speech, graphics, and gesture. In addition to parsing and understanding separate utterances from different modes such as speech or gesture, multimodal interfaces also need to parse and understand composite multimodal utterances that are distributed over multiple input modes. We present an approach in which multimodal parsing and understanding are achieved using a weighted finite-state device which takes speech and gesture streams as inputs and outputs their joint interpretation. In comparison to previous approaches, this approach is significantly more efficient and provides a more general probabilistic framework for multimodal ambiguity resolution. The approach also enables tight-coupling of multimodal understanding with speech recognition. Since the finite-state approach is more lightweight in computational needs, it can be more readily deployed on a broader range of mobile platforms. We provide speech recognition results that demonstrate compensation effects of exploiting gesture information in a directory assistance and messaging task using a multimodal interface.
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13

Ferrise, Francesco, Giandomenico Caruso, and Monica Bordegoni. "Multimodal training and tele-assistance systems for the maintenance of industrial products." Virtual and Physical Prototyping 8, no. 2 (June 2013): 113–26. http://dx.doi.org/10.1080/17452759.2013.798764.

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14

Biondi, Francesco, David L. Strayer, Riccardo Rossi, Massimiliano Gastaldi, and Claudio Mulatti. "Advanced driver assistance systems: Using multimodal redundant warnings to enhance road safety." Applied Ergonomics 58 (January 2017): 238–44. http://dx.doi.org/10.1016/j.apergo.2016.06.016.

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15

Makowska, Magdalena. "TEKST MULTIMODALNY W GLOTTODYDAKTYCE." Neofilolog, no. 50/2 (September 13, 2018): 215–30. http://dx.doi.org/10.14746/n.2018.50.2.4.

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Multimodality as a linguistic universal plays a substantial role not only in the process of communication but also e.g. in philological instruction. It is used both in handbooks as well as all kinds of other didactic materials available in the printed version and the electronic one alike. However, in order for it to constitute practical assistance for a student and real help for the teacher, they must have the so-called multimodal competence at their disposal, which will both at the stage of text production as well as in the phase of its reception enable them to fully use the potential inherent in multimodality. The aim of the article is to show in what way multimodality made use of in foreign language handbooks changes philological education, making it more effective and attractive for all the sides engaged in this process.
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16

Covarrubias, Mario, Elia Gatti, Monica Bordegoni, Umberto Cugini, and Alessandro Mansutti. "Improving manual skills in persons with disabilities (PWD) through a multimodal assistance system." Disability and Rehabilitation: Assistive Technology 9, no. 4 (May 21, 2013): 335–43. http://dx.doi.org/10.3109/17483107.2013.799238.

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17

Nykolaieva, Valentyna, and Svitlana Marova. "SOCIAL WORK AS A MULTIMODAL SYSTEM FOR ASSISTANCE AND SUPPORT IN TRANSITIONAL SOCIETY." Social work and education 6, no. 2 (June 30, 2019): 154–68. http://dx.doi.org/10.25128/2520-6230.19.2.4.

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18

Mykhaylov, B. "Mental and Behavior Disorders Among Combatants in Ukraine." European Psychiatry 33, S1 (March 2016): S452. http://dx.doi.org/10.1016/j.eurpsy.2016.01.1644.

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in Ukraine, the significant participants of the “anti-terroristic operation” (ATO) need to provide a system of psychiatric, psychotherapeutic assistance.The 6 groups of disorders:– non-pathological reaction (Z65.5);– pathological reactions (F43.0);– neurotic disturbances (F45);– psychotic disturbances (F44);– PTSD (F43.1);– chronic personality changes (F62.0).The system of complex assistant was provided. Step 1: emergency psychological assistance. It is carried out on the basis of crisis intervention, that is defined as the emergency and urgent medical and psychological first aid, aimed at the return of the victim to the adaptive level of functioning, preventing progredient development of mental disorders, reducing the negative impact of a traumatic event.Step 2: medical and psychological support. The purpose is the relief of mental and behavioral disorders, prevention (secondary and tertiary), psychological maladjustment, progressive course of mental disorders, with the purpose, rational, suggestive, cognitive behavioral (CBT), and others. The aim of psychotherapy is to support the patient's assistance, processing traumatic material revaluation of the crisis, a change of attitude, increased self-esteem, develop realistic perspectives and active life position. It is important to restore a sense of competence and design future in which you can use a good past experiences. Step 3: the primary goal of treatment is relief of anxiety and fear, stress, adaptation to the human life and activity in conditions of continuing psychogenic. The most effective method of psychotherapy in these cases is CBT. Step 4: supportive. All steps developed by multimodal model of psychotherapy.Disclosure of interestThe author has not supplied his declaration of competing interest.
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19

Tomasello, Francesco, Filippo Flavio Angileri, Alfredo Conti, Antonino Scibilia, Salvatore Cardali, Domenico La Torre, and Antonino Germanò. "Petrosal Meningiomas: Factors Affecting Outcome and the Role of Intraoperative Multimodal Assistance to Microsurgery." Neurosurgery 84, no. 6 (May 22, 2018): 1313–24. http://dx.doi.org/10.1093/neuros/nyy188.

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20

Yin, Jia-Li, Bo-Hao Chen, Kuo-Hua Robert Lai, and Ying Li. "Automatic Dangerous Driving Intensity Analysis for Advanced Driver Assistance Systems From Multimodal Driving Signals." IEEE Sensors Journal 18, no. 12 (June 15, 2018): 4785–94. http://dx.doi.org/10.1109/jsen.2017.2765315.

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21

Serefoglou, S., W. Lauer, A. Perneczky, T. Lutze, and K. Radermacher. "Multimodal user interface for a semi-robotic visual assistance system for image guided neurosurgery." International Congress Series 1281 (May 2005): 624–29. http://dx.doi.org/10.1016/j.ics.2005.03.292.

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22

Rigas, Dimitrios, Hammad Akhtar Hussain, and Nazish Riaz. "Online Branding and Marketing." International Journal of Sociotechnology and Knowledge Development 8, no. 2 (April 2016): 27–38. http://dx.doi.org/10.4018/ijskd.2016040103.

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Multimodal is quite established as communication metaphor in user interfaces and there is at least some limited prima facie case that can be used to influence positively consumer behaviour. This paper explores the perceptions of users to interactive multimodal e-branding and its effect on the consumer purchase decision. A sample of 200 respondents, was used as a basis to explore marketing techniques on social media and multimodal influence on consumer purchase decisions. The results and their analysis indicated that advertisements or messages to users with audio, video and text on in combination are the most effective forms of compiling multimodal messages that aim to advertise, persuade and eventually lead to a purchase on the e-commerce and social media platforms. The data also pointed to the use of multimodal Virtual Shopping Assistants. These findings provide an overall viewpoint on user perception that can be used as a basis for a series of empirical experiments in simulations to identify the specific user influence under particular user context and multimodal messages.
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23

Detjen, Henrik, Robert Niklas Degenhart, Stefan Schneegass, and Stefan Geisler. "Supporting User Onboarding in Automated Vehicles through Multimodal Augmented Reality Tutorials." Multimodal Technologies and Interaction 5, no. 5 (April 21, 2021): 22. http://dx.doi.org/10.3390/mti5050022.

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Misconceptions of vehicle automation functionalities lead to either non-use or dangerous misuse of assistant systems, harming the users’ experience by reducing potential comfort or compromise safety. Thus, users must understand how and when to use an assistant system. In a preliminary online survey, we examined the use, trust, and the perceived understanding of modern vehicle assistant systems. Despite remaining incomprehensibility (36–64%), experienced misunderstandings (up to 9%), and the need for training (around 30%), users reported high trust in the systems. In the following study with first-time users, we examine the effect of different User Onboarding approaches for an automated parking assistant system in a Tesla and compare the traditional text-based manual with a multimodal augmented reality (AR) smartphone application in means of user acceptance, UX, trust, understanding, and task performance. While the User Onboarding experience for both approaches shows high pragmatic quality, the hedonic quality was perceived significantly higher in AR. For the automated parking process, reported hedonic and pragmatic user experience, trust, automation understanding, and acceptance do not differ, yet the observed task performance was higher in the AR condition. Overall, AR might help motivate proper User Onboarding and better communicate how to operate the system for inexperienced users.
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Essen, Helmut, Wolfgang Koch, Sebastian Hantscher, Rüdiger Zimmermann, Paul Warok, Martin Schröder, Marek Schikora, and Goert Luedtke. "A multimodal sensor system for runway debris detection." International Journal of Microwave and Wireless Technologies 4, no. 2 (April 2012): 155–62. http://dx.doi.org/10.1017/s1759078712000116.

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For foreign object detection on runways, highly sensitive radar sensors give the opportunity to detect even very small objects, metallic and non-metallic, also under adverse weather conditions. As it is desirable for airport applications to install only small but robust installations along the traffic areas, millimeter-wave radars offer the advantage of small antenna apertures and miniaturized system hardware. A 220-GHz radar was developed, which is capable to serve this application, if several of these are netted to cover the whole traffic area. Although under fortunate conditions the radar allows a classification or even an identification of the debris, the complete system design incorporates 3-D time-of-flight cameras for assistance in the identification process, which are also distributed along the traffic areas. The system approach further relies upon a change detection algorithm on the netted information to discriminate non-stationary alarms and reduce the false alarm ratio.
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25

He, Zhenggang, Jing-Ni Guo, and Jun-Xiang Xu. "Cascade Failure Model in Multimodal Transport Network Risk Propagation." Mathematical Problems in Engineering 2019 (December 6, 2019): 1–7. http://dx.doi.org/10.1155/2019/3615903.

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The cascade failure theory is introduced into the risk propagation problem of the multimodal transport network in order to study the inherent law of risk propagation and provide theoretical support for the safety management of multimodal transport networks. Firstly, this paper analyses the characteristics of the multimodal transport network and concludes that the risk of the multimodal transport network belongs to failure risk. Secondly, the applicability of cascade failure theory is expounded. Based on cascade failure theory, a risk propagation model of the multimodal transport network is established. Through simulation experiments, the risk propagation of the multimodal transport network is analyzed from the differences of node distribution and node type. The process is analyzed, and the results show that different node distributions and different types of risk source nodes will have an impact on the risk propagation process. The influence of four types of node distributions on the risk propagation effect is in the following order: increasing type > concave-convex type ≈ balanced type > decreasing type. The influence of four types of source nodes on the risk propagation effect is in the following order: transportation type > transporting type > storage type > assistant type.
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El moufid, Mohamed, Younes Nadir, Siham Benhadou, and Hicham Medromi. "An architecture of an interactive multimodal urban mobility system." International Journal for Simulation and Multidisciplinary Design Optimization 10 (2019): A13. http://dx.doi.org/10.1051/smdo/2019015.

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Throughout the world and particularly in urban areas, population growth can be listed as a direct cause of the uprising use of personal vehicles in cities around the world. Such attitude may lead to dramatic consequences, not only economically, but socially and environmentally. To meet these challenges, and to promote the use of multiple means of public transports by citizens, public authorities and transport operators seek − within the framework of the implementation of connected cities projects and intelligent − to optimize the extraction as well as the exploitation of the multimodal information by developing Interactive Systems of Assistance to the Multimodal Movement (IAMM). However, finding the optimal multimodal path for a given person is far from being a simple matter. Indeed, each potential user may have different or unique preferences regarding the: cost and/or duration of his/her journey, number of mode changes, comfort or safety levels desired. In the present study, we propose a multi-agent system which, based on the parameters entered by each user, proposes the optimal paths in the Pareto sense, including different public transport modes, private cars and parking availability.
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Zheng, Zhaobo K., John E. Staubitz, Amy S. Weitlauf, Johanna Staubitz, Marney Pollack, Lauren Shibley, Michelle Hopton, et al. "A Predictive Multimodal Framework to Alert Caregivers of Problem Behaviors for Children with ASD (PreMAC)." Sensors 21, no. 2 (January 7, 2021): 370. http://dx.doi.org/10.3390/s21020370.

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Autism Spectrum Disorder (ASD) impacts 1 in 54 children in the US. Two-thirds of children with ASD display problem behavior. If a caregiver can predict that a child is likely to engage in problem behavior, they may be able to take action to minimize that risk. Although experts in Applied Behavior Analysis can offer caregivers recognition and remediation strategies, there are limitations to the extent to which human prediction of problem behavior is possible without the assistance of technology. In this paper, we propose a machine learning-based predictive framework, PreMAC, that uses multimodal signals from precursors of problem behaviors to alert caregivers of impending problem behavior for children with ASD. A multimodal data capture platform, M2P3, was designed to collect multimodal training data for PreMAC. The development of PreMAC integrated a rapid functional analysis, the interview-informed synthesized contingency analysis (IISCA), for collection of training data. A feasibility study with seven 4 to 15-year-old children with ASD was conducted to investigate the tolerability and feasibility of the M2P3 platform and the accuracy of PreMAC. Results indicate that the M2P3 platform was well tolerated by the children and PreMAC could predict precursors of problem behaviors with high prediction accuracies.
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Zheng, Zhaobo K., John E. Staubitz, Amy S. Weitlauf, Johanna Staubitz, Marney Pollack, Lauren Shibley, Michelle Hopton, et al. "A Predictive Multimodal Framework to Alert Caregivers of Problem Behaviors for Children with ASD (PreMAC)." Sensors 21, no. 2 (January 7, 2021): 370. http://dx.doi.org/10.3390/s21020370.

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Autism Spectrum Disorder (ASD) impacts 1 in 54 children in the US. Two-thirds of children with ASD display problem behavior. If a caregiver can predict that a child is likely to engage in problem behavior, they may be able to take action to minimize that risk. Although experts in Applied Behavior Analysis can offer caregivers recognition and remediation strategies, there are limitations to the extent to which human prediction of problem behavior is possible without the assistance of technology. In this paper, we propose a machine learning-based predictive framework, PreMAC, that uses multimodal signals from precursors of problem behaviors to alert caregivers of impending problem behavior for children with ASD. A multimodal data capture platform, M2P3, was designed to collect multimodal training data for PreMAC. The development of PreMAC integrated a rapid functional analysis, the interview-informed synthesized contingency analysis (IISCA), for collection of training data. A feasibility study with seven 4 to 15-year-old children with ASD was conducted to investigate the tolerability and feasibility of the M2P3 platform and the accuracy of PreMAC. Results indicate that the M2P3 platform was well tolerated by the children and PreMAC could predict precursors of problem behaviors with high prediction accuracies.
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Lieberman, Henry, and Amy Chu. "An interface for mutual disambiguation of recognition errors in a multimodal navigational assistant." Multimedia Systems 12, no. 4-5 (September 12, 2006): 393–402. http://dx.doi.org/10.1007/s00530-006-0052-y.

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30

Demeestere, Jelle, Claire Sewell, Jennifer Rudd, Timothy Ang, Louise Jordan, James Wills, Carlos Garcia-Esperon, et al. "The establishment of a telestroke service using multimodal CT imaging decision assistance: “Turning on the fog lights”." Journal of Clinical Neuroscience 37 (March 2017): 1–5. http://dx.doi.org/10.1016/j.jocn.2016.10.018.

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31

Freeman, C., and I. Beaver. "The effect of response complexity and media on user restatement with multimodal virtual assistants." International Journal of Human-Computer Studies 119 (November 2018): 12–27. http://dx.doi.org/10.1016/j.ijhcs.2018.06.002.

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32

Drajati, Nur Arifah, Bunga Ikasari, and Rizka Junhita. "Hard-of-Hearing (HH) Students’ Perceptions of Multimodal EFL Learning." Langkawi: Journal of The Association for Arabic and English 7, no. 1 (June 27, 2021): 40. http://dx.doi.org/10.31332/lkw.v7i1.2449.

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Learners with hearing loss tend to learn visually. It attracted a teacher of hard-of-hearing (HH) students in a special needs school to implement multimodality that integrated all verbal and visual semiotic modes and used ICT in her English classroom. The study aims to explore the students’ perceptions of multimodal English learning. The interview of the two females and one male participant individually. In addition to the data gained from the interview, students' diaries were also analyzed based on themes that emerged from the codes and categories. The data were triangulated by checking the interviews with the diaries and confirming with the teacher and the students' parents. The findings of the study revealed both positive and negative perceptions emerged. The students perceived ICT-based multimodal learning positively to help them learn new vocabularies and understand a story quickly, increase their motivation to learn, improve their engagement, and make them able to learn autonomously. Meanwhile, they perceived the EFL learning negatively so that it took much time to learn all of the materials. Also, the students felt unconfident in performing activities. Therefore, it is recommended for HH teachers to provide more significant assistance, time, and patience to successfully support students in learning English.
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Kawauchi, Daisuke, Yoshinori Higuchi, Shiro Ikegami, Akihiko Adachi, Ko Ozaki, Izumi Suda, Eiichi Kobayashi, and Yasuo Iwadate. "Unilateral Occipital Transtentorial Approach with Multimodal Assistance for Resection of Large Supracerebellar Hemangioblastomas: Preliminary Experience of 2 Cases." World Neurosurgery 129 (September 2019): e733-e740. http://dx.doi.org/10.1016/j.wneu.2019.06.001.

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Calisto, Francisco Maria, Carlos Santiago, Nuno Nunes, and Jacinto C. Nascimento. "Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification." International Journal of Human-Computer Studies 150 (June 2021): 102607. http://dx.doi.org/10.1016/j.ijhcs.2021.102607.

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Danylenko, Georgii M., Tetiana V. Peresypkina, Antonina I. Butenko, Anna M. Peresypkina, Halyna I. Holubnycha, Andrii M. Zinchuk, and Olha G. Zinchuk. "CONCEPTUAL DIRECTIONS IN ORGANIZATION OF MEDICAL ASSISTANCE FOR CHILDREN IN THE CONDITIONS OF EDUCATION." Wiadomości Lekarskie 73, no. 6 (2020): 1124–28. http://dx.doi.org/10.36740/wlek202006108.

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The aim of this work is: to define the Conceptual model of medical provision of children in educational institutions in modern conditions. Materials and methods: analysis of data from a longitudinal study of children’s health; questionnaire of parents, teachers, heads of educational institutions on the volume of medical support for students; questioning students’ lifestyle and social determinants of health. Results: According to the study has determined the medical and social determinants which negative affect on health status of school age childrens; detected the most appropriate types of of school health services which based on the parents, medical and teachers opinion. The important also is monitoring of health status of children for develop of prevent measure for improove health status and forming of healthy lifestyle behavioral. Problematic issues to be addressed include: improving the legal framework on the competences and volumes of health care for pupils in educational institutions; material equipment; setting up a system for monitoring and analyzing the health status of students and educational groups, identifying health risk factors; establishing a continuous multimodal health-oriented system of student-oriented youth behavior. Conclusions: The health status of students and the level of health-oriented behavior, the reform of the medical sector require introduction of an effective system of medical support for students of organized groups, improving the system of preventive care for students, parents, which is presented in the Conceptual model.
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Zapletal, Eric, Jean-Emmanuel Bibault, Philippe Giraud, and Anita Burgun. "Integrating Multimodal Radiation Therapy Data into i2b2." Applied Clinical Informatics 09, no. 02 (April 2018): 377–90. http://dx.doi.org/10.1055/s-0038-1651497.

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Background Clinical data warehouses are now widely used to foster clinical and translational research and the Informatics for Integrating Biology and the Bedside (i2b2) platform has become a de facto standard for storing clinical data in many projects. However, to design predictive models and assist in personalized treatment planning in cancer or radiation oncology, all available patient data need to be integrated into i2b2, including radiation therapy data that are currently not addressed in many existing i2b2 sites. Objective To use radiation therapy data in projects related to rectal cancer patients, we assessed the feasibility of integrating radiation oncology data into the i2b2 platform. Methods The Georges Pompidou European Hospital, a hospital from the Assistance Publique – Hôpitaux de Paris group, has developed an i2b2-based clinical data warehouse of various structured and unstructured clinical data for research since 2008. To store and reuse various radiation therapy data—dose details, activities scheduling, and dose-volume histogram (DVH) curves—in this repository, we first extracted raw data by using some reverse engineering techniques and a vendor's application programming interface. Then, we implemented a hybrid storage approach by combining the standard i2b2 “Entity-Attribute-Value” storage mechanism with a “JavaScript Object Notation (JSON) document-based” storage mechanism without modifying the i2b2 core tables. Validation was performed using (1) the Business Objects framework for replicating vendor's application screens showing dose details and activities scheduling data and (2) the R software for displaying the DVH curves. Results We developed a pipeline to integrate the radiation therapy data into the Georges Pompidou European Hospital i2b2 instance and evaluated it on a cohort of 262 patients. We were able to use the radiation therapy data on a preliminary use case by fetching the DVH curve data from the clinical data warehouse and displaying them in a R chart. Conclusion By adding radiation therapy data into the clinical data warehouse, we were able to analyze radiation therapy response in cancer patients and we have leveraged the i2b2 platform to store radiation therapy data, including detailed information such as the DVH to create new ontology-based modules that provides research investigators with a wider spectrum of clinical data.
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De Oliveira, Alex Martins. "Gamification as a Concrete Strategy for Teaching in a Vocational Education Setting." International Journal for Innovation Education and Research 6, no. 6 (June 30, 2018): 76–86. http://dx.doi.org/10.31686/ijier.vol6.iss6.1061.

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This Gamification has emerged in the latest years as an alternative support and assistance for the process of learning. Our goal with this experience was to bring the concepts related to the concepts of gamification and game-based learning to provide motivation for students in basic computer learning. Through an exploratory research and the qualitative approach using the cartographic research method, we developed a specific workshop for students enrolled in a technical background course. The main results found in this study confirm the research carried out by Schlemmer [10], in which design-cognition concepts are used in teaching, in a context of configuration of Hybrid and Multimodal Living Spaces, from the perspective of Gamification.
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Chung, Jae-joon, and Hyun-Jung Kim. "An Automobile Environment Detection System Based on Deep Neural Network and its Implementation Using IoT-Enabled In-Vehicle Air Quality Sensors." Sustainability 12, no. 6 (March 21, 2020): 2475. http://dx.doi.org/10.3390/su12062475.

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This paper elucidates the development of a deep learning–based driver assistant that can prevent driving accidents arising from drowsiness. As a precursor to this assistant, the relationship between the sensation of sleep depravity among drivers during long journeys and CO2 concentrations in vehicles is established. Multimodal signals are collected by the assistant using five sensors that measure the levels of CO, CO2, and particulate matter (PM), as well as the temperature and humidity. These signals are then transmitted to a server via the Internet of Things, and a deep neural network utilizes this information to analyze the air quality in the vehicle. The deep network employs long short-term memory (LSTM), skip-generative adversarial network (GAN), and variational auto-encoder (VAE) models to build an air quality anomaly detection model. The deep learning models gather data via LSTM, while the semi-supervised deep learning models collect data via GANs and VAEs. The purpose of this assistant is to provide vehicle air quality information, such as PM alerts and sleep-deprived driving alerts, to drivers in real time and thereby prevent accidents.
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Richer, Robert, Nan Zhao, Bjoern M. Eskofier, and Joseph A. Paradiso. "Exploring Smart Agents for the Interaction with Multimodal Mediated Environments." Multimodal Technologies and Interaction 4, no. 2 (June 6, 2020): 27. http://dx.doi.org/10.3390/mti4020027.

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After conversational agents have been made available to the broader public, we speculate that applying them as a mediator for adaptive environments reduces control complexity and increases user experience by providing a more natural interaction. We implemented and tested four agents, each of them differing in their system intelligence and input modality, as personal assistants for Mediated Atmospheres, an adaptive smart office prototype. They were evaluated in a user study ( N = 33 ) to collect subjective and objective measures. Results showed that a smartphone application was the most favorable system, followed by conversational text and voice agents that were perceived as being more engaging and intelligent than a non-conversational voice agent. Significant differences were observed between native and non-native speakers in both subjective and objective measures. Our findings reveal the potential of conversational agents for the interaction with adaptive environments to reduce work and information overload.
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Grigoras, Alexandru-Valer, Bogdan Ignat, Marian Poboroniuc, Dragos Popescu, and Cristian Dinu Popescu. "STATE OF THE ART AND EFFICIENCY OF ROBOTIC THERAPY IN UPPER LIMB REHABILITATION – A LITERATURE REVIEW." Romanian Journal of Neurology 14, no. 4 (December 31, 2015): 175–81. http://dx.doi.org/10.37897/rjn.2015.4.1.

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Stroke represents the main cause of disability in adults. The disability is caused by motor or sensitive impairment, loss of interjoint coordination, spasticity and pathological synergies that occur after stroke. The new directions in motor rehabilitation point at facilitating neuroplasticity by multimodal stimulation, like virtual reality, or by active assistance in task specific training, like rehabilitation robots associated or not with functional electrical stimulation (FES). The aim of this article is, on one hand, to analyze the way in which the existing robots face the biomechanical challenges of modeling the upper limb`s movements and, on the other hand, to evaluate the efficiency of robotics in rehabilitation, by pointing out the results of the existing clinical trials. Finally, possible directions for future research are discussed.
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Macedo, Yuri Miguel. "Letramentos multimodais para o ensino do Português como segunda língua para surdos." Revista EntreLinguas 6, no. 2 (August 30, 2020): 357–69. http://dx.doi.org/10.29051/el.v6i2.13805.

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This article presents a pedagogical proposal that aims to build a multimodal video with the lyrics of Dorival Caymmi's songs, involving the multiliteracy (linguistic, visual, gestural, spatial and audio) in order to develop the communicative capacity of the deaf subjects involved in the teaching-learning process creating contexts of real productions, enabling multiple activities and, above all, activities that value the Bakhtinian principle of interaction, dialogism. The proposal is organized based on the procedures for the presentation of communication situations involving multimodal discursive genres considering students as protagonists of knowledge. The project was developed in the Specialized Educational Assistance - SEA, in the school context that has as a reference a bilingual perspective, where students use the Brazilian Sign Language as their first language (L1) and Portuguese in written form as a second language (L2), involving the areas of Libras and written Portuguese in order to bring deaf children closer to literacy practices. The choice of the author was due to the celebration of the artist centenary, his compositions that portray and value Bahia, the fact that the students are from Bahia and thinking about the level of complexity of the texts appropriate for the understanding of the deaf students in question.
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Thoma, Brent, Scott Goerzen, Timothy Horeczko, Damian Roland, Andrew Tagg, Teresa M. Chan, Stevan Bruijns, and Jeff Riddell. "An international, interprofessional investigation of the self-reported podcast listening habits of emergency clinicians: A METRIQ Study." CJEM 22, no. 1 (November 25, 2019): 112–17. http://dx.doi.org/10.1017/cem.2019.427.

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ABSTRACTObjectivesPodcasts are increasingly being used for medical education. A deeper understanding of usage patterns would inform both producers and researchers of medical podcasts. We aimed to determine how and why podcasts are used by emergency medicine and critical care clinicians.MethodsAn international interprofessional sample (medical students, residents, physicians, nurses, physician assistants, and paramedics) was recruited through direct contact and a multimodal social media (Twitter and Facebook) campaign. Each participant completed a survey outlining how and why they utilize medical podcasts. Recruitment materials included an infographic and study website.Results390 participants from 33 countries and 4 professions (medicine, nursing, paramedicine, physician assistant) completed the survey. Participants most frequently listened to medical podcasts to review new literature (75.8%), learn core material (75.1%), and refresh memory (71.8%). The majority (62.6%) were aware of the ability to listen at increased speeds, but most (76.9%) listened at 1.0 x (normal) speed. All but 25 (6.4%) participants concurrently performed other tasks while listening. Driving (72.3%), exercising (39.7%), and completing chores (39.2%) were the most common. A minority of participants used active learning techniques such as pausing, rewinding, and replaying segments of the podcast. Very few listened to podcasts multiple times.ConclusionsAn international cohort of emergency clinicians use medical podcasts predominantly for learning. Their listening habits (rarely employing active learning strategies and frequently performing concurrent tasks) may not support this goal. Further exploration of the impact of these activities on learning from podcasts is warranted.
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Srivastava, Rohit. "Score-Level Multimodal Biometric Authentication of Humans Using Retina, Fingerprint, and Fingervein." International Journal of Applied Evolutionary Computation 11, no. 3 (July 2020): 20–30. http://dx.doi.org/10.4018/ijaec.2020070102.

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This paper characterizes a multi-modular framework for confirmation, dependent on the biometric combination of retina, finger vein, and unique mark acknowledgment. The authors have proposed feature extraction in retina acknowledgment model by utilizing SIFT and MINUTIA. Security is the fundamental idea in ATM (Automated Teller Machines) today. The use of multi-modular biometrics can be ATM. The work includes three biometric attributes of a client to be specific retina, unique mark, and finger veins. These are pre-prepared and joined (fused) together for score level combination approach. Retina is chosen as a biometric attribute as there are no parallel retina feature matches except if they are of the comparative client; likewise, retina has a decent vessel design making it a decent confirming methodology when contrasted with other biometric attributes. Security is found in the framework by multi-modular biometric combination of retina with finger vein and unique finger impression. Feature extraction approach and cryptography are utilized so as to accomplish security. The element extraction is finished with the assistance of MINUTIA and SIFT calculation, which are at that point characterized utilizing deep neural network (DNN). The element key focuses are intertwined at score level utilizing separation normal and later matched. The test result assessed utilizing MATLAB delineates the significant improvement in the presentation of multi-modular biometric frameworks with higher qualities in GAR and FAR rates.
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Azaria, Amos, and Keren Nivasch. "SAIF: A Correction-Detection Deep-Learning Architecture for Personal Assistants." Sensors 20, no. 19 (September 29, 2020): 5577. http://dx.doi.org/10.3390/s20195577.

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Intelligent agents that can interact with users using natural language are becoming increasingly common. Sometimes an intelligent agent may not correctly understand a user command or may not perform it properly. In such cases, the user might try a second time by giving the agent another, slightly different command. Giving an agent the ability to detect such user corrections might help it fix its own mistakes and avoid making them in the future. In this work, we consider the problem of automatically detecting user corrections using deep learning. We develop a multimodal architecture called SAIF, which detects such user corrections, taking as inputs the user’s voice commands as well as their transcripts. Voice inputs allow SAIF to take advantage of sound cues, such as tone, speed, and word emphasis. In addition to sound cues, our model uses transcripts to determine whether a command is a correction to the previous command. Our model also obtains internal input from the agent, indicating whether the previous command was executed successfully or not. Finally, we release a unique dataset in which users interacted with an intelligent agent assistant, by giving it commands. This dataset includes labels on pairs of consecutive commands, which indicate whether the latter command is in fact a correction of the former command. We show that SAIF outperforms current state-of-the-art methods on this dataset.
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Real, Santiago, and Alvaro Araujo. "VES: A Mixed-Reality System to Assist Multisensory Spatial Perception and Cognition for Blind and Visually Impaired People." Applied Sciences 10, no. 2 (January 10, 2020): 523. http://dx.doi.org/10.3390/app10020523.

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In this paper, the Virtually Enhanced Senses (VES) System is described. It is an ARCore-based, mixed-reality system meant to assist blind and visually impaired people’s navigation. VES operates in indoor and outdoor environments without any previous in-situ installation. It provides users with specific, runtime-configurable stimuli according to their pose, i.e., position and orientation, and the information of the environment recorded in a virtual replica. It implements three output data modalities: Wall-tracking assistance, acoustic compass, and a novel sensory substitution algorithm, Geometry-based Virtual Acoustic Space (GbVAS). The multimodal output of this algorithm takes advantage of natural human perception encoding of spatial data. Preliminary experiments of GbVAS have been conducted with sixteen subjects in three different scenarios, demonstrating basic orientation and mobility skills after six minutes training.
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Monteiro, David. "Presenting documents to clients in Social Work encounters." Calidoscópio 19, no. 2 (September 3, 2021): 224–42. http://dx.doi.org/10.4013/cld.2021.192.05.

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In service encounters between social workers and clients, professionals introduce clients to specific bureaucratic procedures required by the institution and provide assistance in handling problems related to their institutional affairs. Here, paper-based documents are treated by the participants as relevant objects containing important textual information about clients’ rights and obligations, and duly presented by professionals to clients so to inform them of relevant matters at hand. Based on a corpus of video recordings of Social Work encounters in Portugal, and taking a multimodal conversation analytical approach, this study examines how social workers present paper documents to clients and how, through talk and bodily conduct, they ensure clients’ ability to inspect and make sense of relevant information, managing practical problems concerning clients’ access to documents and knowledge of the information contained therein.
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Hardison, Debra M. "Visualizing the acoustic and gestural beats of emphasis in multimodal discourse." Journal of Second Language Pronunciation 4, no. 2 (December 31, 2018): 232–59. http://dx.doi.org/10.1075/jslp.17006.har.

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Abstract Perceivers’ attention is entrained to the rhythm of a speaker’s gestural and acoustic beats. When different rhythms (polyrhythms) occur across the visual and auditory modalities of speech simultaneously, attention may be heightened, enhancing memorability of the sequence. In this three-stage study, Stage 1 analyzed videorecordings of native English-speaking instructors, focusing on frame-by-frame analysis of time-aligned annotations from Praat and Anvil (video annotation tool) of polyrhythmic sequences. Stage 2 explored the perceivers’ perspective on the sequences’ discourse role. Stage 3 analyzed 10 international teaching assistants’ gestures, and implemented a multistep technology-assisted program to enhance verbal and nonverbal communication skills. Findings demonstrated (a) a dynamic temporal gesture-speech relationship involving perturbations of beat intervals surrounding pitch-accented vowels, (b) the sequences’ important role as highlighters of information, and (c) improvement of ITA confidence, teaching effectiveness, and ability to communicate important points. Findings support the joint production of gesture and prosodically prominent features.
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Teixeira, António, Annika Hämäläinen, Jairo Avelar, Nuno Almeida, Géza Németh, Tibor Fegyó, Csaba Zainkó, et al. "Speech-centric Multimodal Interaction for Easy-to-access Online Services – A Personal Life Assistant for the Elderly." Procedia Computer Science 27 (2014): 389–97. http://dx.doi.org/10.1016/j.procs.2014.02.043.

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Dalkılıç, Feriştah, Yunus Doğan, Derya Birant, Recep Alp Kut, and Reyat Yılmaz. "A Gradual Approach for Multimodel Journey Planning: A Case Study in Izmir, Turkey." Journal of Advanced Transportation 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/5656323.

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Planning a journey by integrating route and timetable information from diverse sources of transportation agencies such as bus, ferry, and train can be complicated. A user-friendly, informative journey planning system may simplify a plan by providing assistance in making better use of public transportation. In this study, we presented the service-oriented, multimodel Intelligent Journey Planning System, which we developed to assist travelers in journey planning. We selected Izmir, Turkey, as the pilot city for this system. The multicriteria problem is one of the well-known problems in transportation networks. Our study proposes a gradual path-finding algorithm to solve this problem by considering transfer count and travel time. The algorithm utilizes the techniques of efficient algorithms including round based public transit optimized router, transit node routing, and contraction hierarchies on transportation graph. We employed Dijkstra’s algorithm after the first stage of the path-finding algorithm by applying stage specific rules to reduce search space and runtime. The experimental results show that our path-finding algorithm takes 0.63 seconds of processing time on average, which is acceptable for the user experience.
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Klodmann, Julian, Christopher Schlenk, Anja Hellings-Kuß, Thomas Bahls, Roland Unterhinninghofen, Alin Albu-Schäffer, and Gerd Hirzinger. "An Introduction to Robotically Assisted Surgical Systems: Current Developments and Focus Areas of Research." Current Robotics Reports 2, no. 3 (August 26, 2021): 321–32. http://dx.doi.org/10.1007/s43154-021-00064-3.

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Abstract Purpose of Review Robotic assistance systems for diagnosis and therapy have become technically mature and widely available. Thus, they play an increasingly important role in patient care. This paper provides an overview of the general concepts of robotically assisted surgical systems, briefly revisiting historical and current developments in the surgical robotics market and discussing current focus areas of research. Comprehensiveness cannot be achieved in this format, but besides the general overview, references to further readings and more comprehensive reviews with regard to particular aspects are given. Therefore, the work at hand is considered as an introductory paper into the topic and especially addresses investigators, researchers, medical device manufacturers, and clinicians, who are new to this field. Recent Findings The current research in Robotically Assisted Surgical Systems (RASS) increasingly uses established robotic platforms. To minimize the patient trauma while optimizing the dexterity of the surgeon, miniaturized instruments and semi-autonomous assistance functions are developed. To provide the surgeon with all necessary information in an adequate manner, novel imaging sensors as well as techniques for multimodal sensory feedback and augmented reality are investigated. The Surgical Data Science applies data management and processing approaches including machine learning on medical data to provide optimal, individualized and contextual support to the surgeon. Summary Robotic systems will significantly influence future patient care. Since they must fulfill manifold medical, technical, regulatory and economic requirements, their development calls for a close, active and interdisciplinary cooperation between stakeholders from hospitals, industry and science.
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