Publication

Exogenous cueing of visual attention using small, directional, tactile cues applied to the fingertip

IEEE World Haptics Conference


Abstract

The deployment of visual spatial attention can be significantly influenced in an exogenous, presumably bottom-up manner. Traditionally, spatial cueing paradigms have been utilized to come to such conclusions. Although these paradigms have primarily made use of visual cues, spatially correspondent tactile cues have also been successfully employed. However, one property of tactile cues not thoroughly explored in this context is the influence of their specific directionality on the subsequent deployment of visual attention. Thus, the current study sought to evaluate the potential utility of small, directional tactile cues as a means to exogenously direct visual spatial attention. Tactile cues were employed by a small shearing of the fingertip’s skin in either the leftward of rightward direction. A modified spatial cueing paradigm was used to compare reaction time performance across both traditional-visual and directional-tactile cues at cue-target onset asynchronies of 100, 200, 400 and 800 ms. The results indicated that both visual and tactile cues mediated the deployment of exogenous visual spatial attention. However, differences between the two modalities were observed in terms of both the magnitude and the pattern of the associated cueing effects. Further, there appeared to be a general rightward bias in performance irrespective of cue modality. Overall, the current work offers preliminary evidence that small, directional tactile stimulation may influence the allocation of attention across space in a manner at least partially distinct to traditional visual cueing tasks. Yet, further research will be required to explicitly determine the underlying mechanisms.

Related Publications

All Publications

TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video

Tiancheng Zhi, Christoph Lassner, Tony Tung, Carsten Stoll, Srinivasa G. Narasimhan, Minh Vo

ECCV - August 21, 2020

InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image

Gyeongsik Moon, Shoou-I Yu, He Wen, Takaaki Shiratori, Kyoung Mu Lee

ECCV - August 23, 2020

DeepHandMesh: A Weakly-Supervised Deep Encoder-Decoder Framework for High-Fidelity Hand Mesh Modeling

Gyeongsik Moon, Takaaki Shiratori, Kyoung Mu Lee

ECCV - August 23, 2020

ContactPose: A Dataset of Grasps with Object Contact and Hand Pose

Samarth Brahmbhatt, Chengcheng Tang, Christopher D. Twigg, Charles C. Kemp, James Hays

ECCV - August 23, 2020

To help personalize content, tailor and measure ads, and provide a safer experience, we use cookies. By clicking or navigating the site, you agree to allow our collection of information on and off Facebook through cookies. Learn more, including about available controls: Cookies Policy