Literature DB >> 28744702

Visuo-haptic integration in object identification using novel objects.

Geneviève Desmarais1, Melissa Meade2, Taylor Wells3, Mélanie Nadeau3.   

Abstract

Although some studies have shown that haptic and visual identification seem to rely on similar processes, few studies have directly compared the two. We investigated haptic and visual object identification by asking participants to learn to recognize (Experiments 1, and 3), or to match (Experiment 2) novel objects that varied only in shape. Participants explored objects haptically, visually, or bimodally, and were then asked to identify objects haptically and/or visually. We demonstrated that patterns of identification errors were similar across identification modality, independently of learning and testing condition, suggesting that the haptic and visual representations in memory were similar. We also demonstrated that identification performance depended on both learning and testing conditions: visual identification surpassed haptic identification only when participants explored the objects visually or bimodally. When participants explored the objects haptically, haptic and visual identification were equivalent. Interestingly, when participants were simultaneously presented with two objects (one was presented haptically, and one was presented visually), object similarity only influenced performance when participants were asked to indicate whether the two objects were the same, or when participants had learned about the objects visually-without any haptic input. The results suggest that haptic and visual object representations rely on similar processes, that they may be shared, and that visual processing may not always lead to the best performance.

Entities:  

Keywords:  Haptics; Multisensory processing; Object recognition

Mesh:

Year:  2017        PMID: 28744702     DOI: 10.3758/s13414-017-1382-x

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.199


  3 in total

1.  Transfer of Learning from Vision to Touch: A Hybrid Deep Convolutional Neural Network for Visuo-Tactile 3D Object Recognition.

Authors:  Ghazal Rouhafzay; Ana-Maria Cretu; Pierre Payeur
Journal:  Sensors (Basel)       Date:  2020-12-27       Impact factor: 3.576

2.  Identification of Textured Tactile Pictures in Visually Impaired and Blindfolded Sighted Children.

Authors:  Annie Vinter; Oriana Orlandi; Pascal Morgan
Journal:  Front Psychol       Date:  2020-03-09

3.  Haptic object recognition based on shape relates to visual object recognition ability.

Authors:  Jason K Chow; Thomas J Palmeri; Isabel Gauthier
Journal:  Psychol Res       Date:  2021-08-05
  3 in total

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