1,721,083 research outputs found

    Configuring a VR simulator for the evaluation of advanced human–machine interfaces for hydraulic excavators

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    This study is aimed at evaluating the impact of different technical solutions of a virtual reality simulator to support the assessment of advanced human–machine interfaces for hydraulic excavator based on a new coordinated control paradigm and haptic feedbacks. By mimicking the end-effector movements, the control is conceived to speed up the learning process for novice operators and to reduce the mental overload on those already trained. The design of the device can fail if ergonomics, usability and performance are not grounded on realistic simulations where the combination of visual, auditory and haptic feedbacks make the users feel like being in a real environment rather than a computer-generated one. For this reason, a testing campaign involving 10 subjects was designed to discriminate the optimal set-up for the hardware to ensure a higher immersion into the VR experience. Both the audio–video configurations of the simulator (head-mounted display and surround system vs. monitor and embedded speakers) and the two types of haptic feedback for the soil–bucket interaction (contact vs. shaker) are compared in three different scenarios. The performance of both the users and simulator are evaluated by processing subjective and objective data. The results show how the immersive set-up improves the users’ efficiency and ergonomics without putting any extra mental or physical effort on them, while the preferred haptic feedback (contact) is not the more efficient one (shaker)

    Multimodal Training and Tele-Assistance systems for the Maintenance of Industrial Products

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    The paper describes an application based on Virtual and Augmented Reality technologies specifically developed to support maintenance operations of industrial products. Two scenarios have been proposed. In the first an operator learns how to perform a maintenance operation in a multimodal Virtual Reality environment that mixes a traditional instruction manual with the simulation, based on visual and haptic technologies, of the maintenance training task. In the second scenario, a skilled user operating in a multimodal Virtual Reality environment can remotely train another operator who sees the instructions about how the operations should be correctly performed, which are superimposed onto the real product. The paper presents the development of the application as well as its testing with users. Furthermore limits and potentialities of the use of Virtual and Augmented Reality technologies for training operators for product maintenance are discussed

    Mixed-Reality Environment based on Haptic Control System for a tractor cabin design review

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    Current trend in the automotive field tends to offer an increasing number of functionalities that are aimed at controlling the vehicle and the number of control devices and the kind of interaction becomes more complex. This could be responsible of drivers’ distraction caused by the time required to drivers to look at the information displayed. An approach to address these problems consists of minimizing the number of physical functional elements in favor of a single interactive graphical interface driven by few commands. In this paper we present a Mixed-Reality environment we have implemented for the validation of the re-design of a tractor cabin

    User Acceptance of Autonomous Vehicles: Review and Perspectives on the Role of the Human-machine Interfaces

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    Although autonomous driving has significantly developed in the last years, its acceptance by users is still low, even due to the different interaction modalities between the human agent and Autonomous Vehicles (AVs). Therefore, this paper proposes an analysis of the existing research on the influence of Human-Machine Interfaces (HMIs) on the user acceptance of AVs from the perspective of interaction design. The authors reviewed the fundamental changes in the way users interact with AVs. The paper focuses on the transfer of the vehicle control between the human and the artificial intelligence agent, the user experience of Non-Driving-Related Tasks (NDRTs) and sharing autonomous driving in public transportation, and the impact of external HMI on Vulnerable Road Users (VRUs). In addition, the paper analyzes the concept of acceptability and describes the existing user acceptance models. Finally, the paper explores the future challenges for promoting the design potential of autonomous vehicle HMIs and proposes areas worthy of research to increase the user’s acceptance of this technology
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