IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0034380.html
   My bibliography  Save this article

Does the Integration of Haptic and Visual Cues Reduce the Effect of a Biased Visual Reference Frame on the Subjective Head Orientation?

Author

Listed:
  • Marc Gueguen
  • Nicolas Vuillerme
  • Brice Isableu

Abstract

Background: The selection of appropriate frames of reference (FOR) is a key factor in the elaboration of spatial perception and the production of robust interaction with our environment. The extent to which we perceive the head axis orientation (subjective head orientation, SHO) with both accuracy and precision likely contributes to the efficiency of these spatial interactions. A first goal of this study was to investigate the relative contribution of both the visual and egocentric FOR (centre-of-mass) in the SHO processing. A second goal was to investigate humans' ability to process SHO in various sensory response modalities (visual, haptic and visuo-haptic), and the way they modify the reliance to either the visual or egocentric FORs. A third goal was to question whether subjects combined visual and haptic cues optimally to increase SHO certainty and to decrease the FORs disruption effect. Methodology/Principal Findings: Thirteen subjects were asked to indicate their SHO while the visual and/or egocentric FORs were deviated. Four results emerged from our study. First, visual rod settings to SHO were altered by the tilted visual frame but not by the egocentric FOR alteration, whereas no haptic settings alteration was observed whether due to the egocentric FOR alteration or the tilted visual frame. These results are modulated by individual analysis. Second, visual and egocentric FOR dependency appear to be negatively correlated. Third, the response modality enrichment appears to improve SHO. Fourth, several combination rules of the visuo-haptic cues such as the Maximum Likelihood Estimation (MLE), Winner-Take-All (WTA) or Unweighted Mean (UWM) rule seem to account for SHO improvements. However, the UWM rule seems to best account for the improvement of visuo-haptic estimates, especially in situations with high FOR incongruence. Finally, the data also indicated that FOR reliance resulted from the application of UWM rule. This was observed more particularly, in the visual dependent subject. Conclusions: Taken together, these findings emphasize the importance of identifying individual spatial FOR preferences to assess the efficiency of our interaction with the environment whilst performing spatial tasks.

Suggested Citation

  • Marc Gueguen & Nicolas Vuillerme & Brice Isableu, 2012. "Does the Integration of Haptic and Visual Cues Reduce the Effect of a Biased Visual Reference Frame on the Subjective Head Orientation?," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-14, April.
    • Handle: RePEc:plo:pone00:0034380
    DOI: 10.1371/journal.pone.0034380
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0034380
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0034380&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0034380?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Marc O. Ernst & Martin S. Banks, 2002. "Humans integrate visual and haptic information in a statistically optimal fashion," Nature, Nature, vol. 415(6870), pages 429-433, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cécile Scotto Di Cesare & Fabrice R Sarlegna & Christophe Bourdin & Daniel R Mestre & Lionel Bringoux, 2014. "Combined Influence of Visual Scene and Body Tilt on Arm Pointing Movements: Gravity Matters!," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-14, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Simon Weiler & Vahid Rahmati & Marcel Isstas & Johann Wutke & Andreas Walter Stark & Christian Franke & Jürgen Graf & Christian Geis & Otto W. Witte & Mark Hübener & Jürgen Bolz & Troy W. Margrie & Kn, 2024. "A primary sensory cortical interareal feedforward inhibitory circuit for tacto-visual integration," Nature Communications, Nature, vol. 15(1), pages 1-24, December.
    2. Catarina Mendonça & Pietro Mandelli & Ville Pulkki, 2016. "Modeling the Perception of Audiovisual Distance: Bayesian Causal Inference and Other Models," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-18, December.
    3. Jacques Pesnot Lerousseau & Cesare V. Parise & Marc O. Ernst & Virginie Wassenhove, 2022. "Multisensory correlation computations in the human brain identified by a time-resolved encoding model," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    4. Wen-Hao Zhang & Si Wu & Krešimir Josić & Brent Doiron, 2023. "Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    5. Marine Hainguerlot & Thibault Gajdos & Jean-Christophe Vergnaud & Vincent de Gardelle, 2023. "How Overconfidence Bias Influences Suboptimality in Perceptual Decision Making," PSE-Ecole d'économie de Paris (Postprint) hal-04197403, HAL.
    6. Adam N Sanborn & Ulrik R Beierholm, 2016. "Fast and Accurate Learning When Making Discrete Numerical Estimates," PLOS Computational Biology, Public Library of Science, vol. 12(4), pages 1-28, April.
    7. Patricia Besson & Christophe Bourdin & Lionel Bringoux, 2011. "A Comprehensive Model of Audiovisual Perception: Both Percept and Temporal Dynamics," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-11, August.
    8. Anthony Renard & Evan R. Harrell & Brice Bathellier, 2022. "Olfactory modulation of barrel cortex activity during active whisking and passive whisker stimulation," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    9. Seth W. Egger & Stephen G. Lisberger, 2022. "Neural structure of a sensory decoder for motor control," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    10. Wendy J Adams, 2016. "The Development of Audio-Visual Integration for Temporal Judgements," PLOS Computational Biology, Public Library of Science, vol. 12(4), pages 1-17, April.
    11. Tim Genewein & Eduard Hez & Zeynab Razzaghpanah & Daniel A Braun, 2015. "Structure Learning in Bayesian Sensorimotor Integration," PLOS Computational Biology, Public Library of Science, vol. 11(8), pages 1-27, August.
    12. Xiaochen Zhang & Lingling Jin & Jie Zhao & Jiazhen Li & Ding-Bang Luh & Tiansheng Xia, 2022. "The Influences of Different Sensory Modalities and Cognitive Loads on Walking Navigation: A Preliminary Study," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
    13. Johannes Burge & Priyank Jaini, 2017. "Accuracy Maximization Analysis for Sensory-Perceptual Tasks: Computational Improvements, Filter Robustness, and Coding Advantages for Scaled Additive Noise," PLOS Computational Biology, Public Library of Science, vol. 13(2), pages 1-32, February.
    14. Yingjie Lai & Chaemoon Yoo & Xiaomin Zhou & Younghwan Pan, 2023. "Elements of Food Service Design for Low-Carbon Tourism-Based on Dine-In Tourist Behavior and Attitudes in China," Sustainability, MDPI, vol. 15(9), pages 1-21, May.
    15. Florent Meyniel & Maxime Maheu & Stanislas Dehaene, 2016. "Human Inferences about Sequences: A Minimal Transition Probability Model," PLOS Computational Biology, Public Library of Science, vol. 12(12), pages 1-26, December.
    16. Brocas, Isabelle & Carrillo, Juan D., 2012. "From perception to action: An economic model of brain processes," Games and Economic Behavior, Elsevier, vol. 75(1), pages 81-103.
    17. Jean-François Patri & Pascal Perrier & Jean-Luc Schwartz & Julien Diard, 2018. "What drives the perceptual change resulting from speech motor adaptation? Evaluation of hypotheses in a Bayesian modeling framework," PLOS Computational Biology, Public Library of Science, vol. 14(1), pages 1-38, January.
    18. Florent Meyniel, 2020. "Brain dynamics for confidence-weighted learning," PLOS Computational Biology, Public Library of Science, vol. 16(6), pages 1-27, June.
    19. Anna Lambrechts & Vincent Walsh & Virginie van Wassenhove, 2013. "Evidence Accumulation in the Magnitude System," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-10, December.
    20. Carrillo, Juan & Brocas, Isabelle, 2007. "Reason, Emotion and Information Processing in the Brain," CEPR Discussion Papers 6535, C.E.P.R. Discussion Papers.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0034380. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.