Surface Haptic Feedback Method for Automotive Human-machine Interface Based on Objective and Subjective Data
CSTR:
Author:
Affiliation:

National Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University, Changchun 130022, China

Clc Number:

TP399

  • Article
  • | |
  • Metrics
  • |
  • Reference [17]
  • | | | |
  • Comments
    Abstract:

    In response to the problem of lack of haptic feedback or overly simplistic haptic feedback in the virtual buttons of automotive user interfaces, three types of real physical button data (toggle switch, self-locking button, reset button) were collected, and button features were extracted. Different vibration feedbacks were achieved in segments based on finger pressure. Subsequently, a haptic rendering method that reproduces button compliance was further proposed, and its improvement in compliance and user pleasure compared with compliance illusion methods was verified based on user subjective feelings. Finally, a matching experiment was conducted, and the experimenter matched three types of virtual buttons with physical button types based on haptic sensation. The overall accuracy is as high as 94.33%, proving that the vibration haptic feedback of the proposed virtual button effectively restores the unique perceptual characteristics of different physical buttons,and users distinguish the type and state of the manipulated virtual button without the need for visual attention.

    Reference
    [1] BREITSCHAFT S J, CLARKE S, CARBON C C, et al. A theoretical framework of haptic processing in automotive user interfaces and its implications on design and engineering[J]. Frontiers in Psychology, 2019, 10(1): 1.
    [2] YOREN G, ANATOLE L. The use of haptic and tacile information in the car to improve driving safety: a review of current technologies[J]. Frontiers in ICT, 2018, 5(1): 1.
    [3] MURALI P, KABOLI M, DAHIYA R. Intelligent in-vehicle interaction technologies[J]. Advanced Intelligent Systems, 2021, 4(2): 1.
    [4] TUNCA E, ZOLLER I, LOTZ P. An investigation into glace-free operation of a touchscreen with and without haptic support in the driving simulator[C]//10th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications. New York: ACM, 2018: 332-340.
    [5] BERUSCHA F, KRAUTTER W, LAHMER A, et al. An evaluation of the influence of haptic feedback on gaze behavior during in-car interaction with touch screens[C]//2017 IEEE World Haptics Conference (WHC). Piscataway: IEEE, 2017: 201-206.
    [6] PITTS M J, BURNETT G, SKRYPCHUK L. Visual-haptic feedback interaction in automotive touchscreens[J]. Displays, 2012, 33(1): 7.
    [7] 赵秩男. 车载终端界面的触觉反馈技术[D]. 长春:吉林大学, 2023.ZHAO Yinan. Haptic feedback technology for automotive terminal interface[D]. Changchun: Jilin University, 2023.
    [8] ADILKHANOV A, YELENOV A, REDDY R S, et al. VibeRo: vibrotactile stiffness perception interface for virtual reality[J]. IEEE Robotics and Automation Letters, 2020, 5(2): 2785.
    [9] KILDAL J. 3D-press: haptic illusion of compliance when pressing on a rigid surface[C]//International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction. New York: ACM, 2010: 1-8.
    [10] KIM S, LEE G. Haptic feedback design for a virtual button along force-displacement curves[C]//Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology. New York: ACM, 2013: 91-96.
    [11] 李萌芽. Virtual按键的触觉反馈建模与渲染[D]. 长春:吉林大学, 2021.LI Mengya. Haptic feedback modeling and rendering of virtual keys[D]. Changchun: Jilin University, 2021.
    [12] SADIA B, EMGIN S E, SEZGIN T M, et al. Data-driven vibrotactile rendering of digital buttons on touchscreens[J]. International Journal of Human-Computer Studies, 2020, 135(1): 1.
    [13] DE PRA Y, PAPETTI S, FONTANA F, et al. Haptic discrimination of material properties: application to virtual buttons for professional appliances[J]. Journal on Multimodal User Interfaces, 2020, 14(3): 255.
    [14] WEI Q H, LI M, HU J, et al. Perceived depth and roughness of virtual buttons with touchscreens[J]. IEEE Transactions on Haptics, 2022, 15(2): 315.
    [15] LIU Q, TAN H Z, JIANG L, et al. Perceptual dimensionality of manual key clicks[C]//IEEE Haptics Symposium. Piscataway: IEEE, 2018: 112-118.
    [16] NAI W Z, LIU J Y, SUN C Y, et al. Vibrohaptic feedback rendering of patterned textures using a waveform segment table method[J]. IEEE Transactions on Haptics, 2021, 14(4): 849.
    [17] MADDALéNA M, MIZZARO S, SCHOLER F, et al. On crowdsourcing relevance magnitudes for information retrieval evaluation[J]. ACM Transactions on Information Systems, 2018, 35(3): 1.
    Related
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

SHEN Chuanliang, YUE Yubing, YE Ruizhang, HU Hongyu, GAO Zhenhai. Surface Haptic Feedback Method for Automotive Human-machine Interface Based on Objective and Subjective Data[J].同济大学学报(自然科学版),2024,52(6):856~863

Copy
Share
Article Metrics
  • Abstract:164
  • PDF: 300
  • HTML: 980
  • Cited by: 0
History
  • Received:March 20,2024
  • Online: June 28,2024
Article QR Code