Intuitive tactile zooming for graphics accessed by individuals who are blind and visually impaired.
Identifieur interne : 001A91 ( Main/Merge ); précédent : 001A90; suivant : 001A92Intuitive tactile zooming for graphics accessed by individuals who are blind and visually impaired.
Auteurs : Ravi Rastogi [États-Unis] ; T V Dianne Pawluk ; Jessica KetchumSource :
- IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society [ 1558-0210 ] ; 2013.
English descriptors
- KwdEn :
- Adult, Algorithms, Blindness (psychology), Computer Graphics, Female, Form Perception (physiology), Humans, Linear Models, Male, Middle Aged, Physical Stimulation, Psychomotor Performance (physiology), Sensory Aids, Touch (physiology), User-Computer Interface, Visually Impaired Persons (psychology).
- MESH :
- physiology : Form Perception, Psychomotor Performance, Touch.
- psychology : Blindness, Visually Impaired Persons.
- Adult, Algorithms, Computer Graphics, Female, Humans, Linear Models, Male, Middle Aged, Physical Stimulation, Sensory Aids, User-Computer Interface.
Abstract
One possibility of providing access to visual graphics for those who are visually impaired is to present them tactually: unfortunately, details easily available to vision need to be magnified to be accessible through touch. For this, we propose an "intuitive" zooming algorithm to solve potential problems with directly applying visual zooming techniques to haptic displays that sense the current location of a user on a virtual diagram with a position sensor and, then, provide the appropriate local information either through force or tactile feedback. Our technique works by determining and then traversing the levels of an object tree hierarchy of a diagram. In this manner, the zoom steps adjust to the content to be viewed, avoid clipping and do not zoom when no object is present. The algorithm was tested using a small, "mouse-like" display with tactile feedback on pictures representing houses in a community and boats on a lake. We asked the users to answer questions related to details in the pictures. Comparing our technique to linear and logarithmic step zooming, we found a significant increase in the correctness of the responses (odds ratios of 2.64:1 and 2.31:1, respectively) and usability (differences of 36% and 19%, respectively) using our "intuitive" zooming technique.
DOI: 10.1109/TNSRE.2013.2250520
PubMed: 23529106
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pubmed:23529106Le document en format XML
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For this, we propose an "intuitive" zooming algorithm to solve potential problems with directly applying visual zooming techniques to haptic displays that sense the current location of a user on a virtual diagram with a position sensor and, then, provide the appropriate local information either through force or tactile feedback. Our technique works by determining and then traversing the levels of an object tree hierarchy of a diagram. In this manner, the zoom steps adjust to the content to be viewed, avoid clipping and do not zoom when no object is present. The algorithm was tested using a small, "mouse-like" display with tactile feedback on pictures representing houses in a community and boats on a lake. We asked the users to answer questions related to details in the pictures. Comparing our technique to linear and logarithmic step zooming, we found a significant increase in the correctness of the responses (odds ratios of 2.64:1 and 2.31:1, respectively) and usability (differences of 36% and 19%, respectively) using our "intuitive" zooming technique.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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