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Visualization equivalence for multisensory perception: learning from the visual

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1 Author(s)
J. C. Roberts ; Comput. Lab., Kent Univ., Canterbury, UK

In our information-rich world, computers generate so much data that it comprehending and understanding it in its raw form is difficult. Visual representations are imperative if we are to understand even a small part of it. In addition - or as an alternative to visual mappings - we could map information into nonvisual forms, any form that stimulates any of our senses: from auditory, haptic, olfactory, and gustatory to vestibular.

Published in:

Computing in Science & Engineering  (Volume:6 ,  Issue: 3 )