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

被引:8
|
作者
Morosi, Federico [1 ]
Caruso, Giandomenico [1 ]
机构
[1] Politecn Milan, Mech Engn Dept, Milan, Italy
关键词
Excavator coordinated control; Virtual reality simulator; Haptic control; Human-machine interface; Multi-sensory feedbacks; OF-THE-ART; VIRTUAL-REALITY; ENVIRONMENT; TRENDS; MODEL;
D O I
10.1007/s10055-021-00598-z
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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).
引用
收藏
页码:801 / 816
页数:16
相关论文
共 50 条
  • [21] Asymmetric "Janus" Biogel for Human-Machine Interfaces
    Wei, Yuan
    He, Yingying
    Wang, Chunyu
    Chen, Gang
    Zhao, Boxin
    ADVANCED FUNCTIONAL MATERIALS, 2023, 33 (34)
  • [22] Automatic Generation of Smart Human-Machine Interfaces
    De Biase, Maria Stella
    Marrone, Stefano
    Marulli, Fiammetta
    PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL CONFERENCE ON HUMAN-MACHINE SYSTEMS (ICHMS), 2020, : 22 - 25
  • [24] Overview of Auditory Representations in Human-Machine Interfaces
    Csapo, Adam
    Wersenyi, Gyoergy
    ACM COMPUTING SURVEYS, 2013, 46 (02)
  • [25] Adaptive interfaces as an approach to human-machine cooperation
    Eggleston, RG
    DESIGN OF COMPUTING SYSTEMS: SOCIAL AND ERGONOMIC CONSIDERATIONS, 1997, 21 : 495 - 500
  • [26] Adapting Human-Machine Interfaces to User Performance
    Danziger, Zachary
    Fishbach, Alon
    Mussa-Ivaldi, Ferdinando A.
    2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8, 2008, : 4486 - +
  • [27] External human-machine interfaces: Gimmick or necessity?
    de Winter, Joost
    Dodou, Dimitra
    TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES, 2022, 15
  • [28] Human-Machine Interfaces for Robotic System Control
    Roibu, Horatiu
    Popescu, Dorin
    Abagiu, Marian-Marcel
    Bizdoaca, Nicu-George
    2018 INTERNATIONAL CONFERENCE ON APPLIED AND THEORETICAL ELECTRICITY (ICATE), 2018,
  • [29] Exploration of Mandibular Inputs for Human-Machine Interfaces
    Yaslam, Abdulaziz
    Feron, Eric
    Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2022, 2022-October : 46 - 51
  • [30] Modeling and canceling tremor in human-machine interfaces
    Riviere, CN
    Thakor, NV
    IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE, 1996, 15 (03): : 29 - 36