Gaze Pattern and Reading Comprehension
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Altmetric Citations
Vo, Tan; Mendis, B Sumudu; Gedeon, Tamas (Tom)
Description
Does the way a person read influence the way they understand information or is it the other way around? In regard to reading of English text, just how much we can learn from a person's gaze pattern? It is known that while reading, we inadvertently form rational connections between pieces of information we pick up from the text. That reflects in certain disruptions in the norms of reading paradigm and that gives us clues to our interest level in reading activities. In this paper, we validate the...[Show more]
dc.contributor.author | Vo, Tan | |
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dc.contributor.author | Mendis, B Sumudu | |
dc.contributor.author | Gedeon, Tamas (Tom) | |
dc.coverage.spatial | Sydney Australia | |
dc.date.accessioned | 2015-12-10T22:30:23Z | |
dc.date.created | November 22-25 2010 | |
dc.identifier.isbn | 9783642175336 | |
dc.identifier.uri | http://hdl.handle.net/1885/55070 | |
dc.description.abstract | Does the way a person read influence the way they understand information or is it the other way around? In regard to reading of English text, just how much we can learn from a person's gaze pattern? It is known that while reading, we inadvertently form rational connections between pieces of information we pick up from the text. That reflects in certain disruptions in the norms of reading paradigm and that gives us clues to our interest level in reading activities. In this paper, we validate the above statement and then propose a novel method of detecting the level of engagement in reading based on a person's gaze-pattern. We organised some experiments in reading tasks of over thirty participants and the experimental outputs are classified with Artificial Neural Networks with an approximately 80 percent accuracy. The design of this approach is simple and computationally feasible enough to be applied in a real-life system. "Your eyes are the windows to your soul". | |
dc.publisher | Springer | |
dc.relation.ispartofseries | International Conference on Neural Information Processing (ICONIP 2010) | |
dc.source | Proceedings of the International Conference on Neural Information Processing (ICONIP 2010) | |
dc.subject | Keywords: Artificial Neural Network; Eye-gaze; Grid-based clustering; Interest level; Novel methods; Reading comprehension; Real-life systems; SVM; Data processing; Neural networks Artificial Neural Network; Eye-gaze Pattern; Grid-based Clustering; SVM | |
dc.title | Gaze Pattern and Reading Comprehension | |
dc.type | Conference paper | |
local.description.notes | Imported from ARIES | |
local.description.refereed | Yes | |
dc.date.issued | 2010 | |
local.identifier.absfor | 080107 - Natural Language Processing | |
local.identifier.ariespublication | U3594520xPUB318 | |
local.type.status | Published Version | |
local.contributor.affiliation | Vo, Tan, College of Engineering and Computer Science, ANU | |
local.contributor.affiliation | Mendis, B Sumudu, College of Engineering and Computer Science, ANU | |
local.contributor.affiliation | Gedeon, Tamas (Tom), College of Engineering and Computer Science, ANU | |
local.description.embargo | 2037-12-31 | |
local.bibliographicCitation.startpage | 124 | |
local.bibliographicCitation.lastpage | 131 | |
local.identifier.doi | 10.1007/978-3-642-17534-3_16 | |
local.identifier.absseo | 970108 - Expanding Knowledge in the Information and Computing Sciences | |
dc.date.updated | 2016-02-24T10:17:56Z | |
local.identifier.scopusID | 2-s2.0-78650218400 | |
Collections | ANU Research Publications |
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