Paper Info
Title
A model for visio-haptic attention for efficient resource allocation in multimodal environments
Abstract
Sequences of visual and haptic exploration were obtained on surfaces of different curvature from human subjects. We then extracted regions of interest (ROI) from the data as a function of number of times a subject fixated on a certain location on object and amount of time spent on such each location. Simple models like a plane, cone, cylinder, paraboloid, hyperboloid, ellipsoid, simple-saddle and a monkey-saddle were generated. Gaussian curvature representation of each point on all the surfaces was pre-computed. The surfaces have been previously tested for haptic and visual realism and distinctness by human subjects in a separate experiment. Both visual and haptic rendering were subsequently used for exploration by human subjects to study whether there is a similarity between the visual ROI and haptic ROIs. Additionally, we wanted to see if there is a correlation between curvature values and the ROIs thus obtained. A multiple regression model was further developed to see if this data can be used to predict the visual exploration path using haptic curvature saliency measures.
Year
DOI
Venue
2007
10.1007/978-3-540-73216-7_37
HCI (16)
Keywords
Field
DocType
haptic curvature saliency measure,gaussian curvature representation,visio-haptic attention,haptic rois,visual realism,visual exploration path,haptic exploration,visual roi,efficient resource allocation,haptic rendering,human subject,curvature value,multimodal environment,eye movement,region of interest,resource allocation
Computer vision,Ellipsoid,Paraboloid,Curvature,Salience (neuroscience),Computer science,Eye movement,Artificial intelligence,Hyperboloid,Haptic technology,Gaussian curvature
Conference
Volume
ISSN
Citations 
4565
0302-9743
0
PageRank 
References 
Authors
0.34
4
4
Name
Order
Citations
PageRank
Priyamvada Tripathi1869.40
Kanav Kahol221826.96
Anusha Sridaran310.75
Sethuraman Panchanathan41431152.04