Computational Models of Stress in Reading Using Physiological and Physical Sensor Data

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dc.contributor.authorSharma, Nandita
dc.contributor.authorGedeon, Tamas (Tom)
dc.date.accessioned2015-12-10T23:22:15Z
dc.date.issued2013
dc.date.updated2015-12-10T10:29:21Z
dc.description.abstractStress is a major problem facing our world today and it is important to develop an objective understanding of how average individuals respond to stress in a typical activity like reading. The aim for this paper is to determine whether stress patterns can
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/1885/66451
dc.publisherSpringer
dc.sourceLecture Notes in Computer Science (LNCS)
dc.titleComputational Models of Stress in Reading Using Physiological and Physical Sensor Data
dc.typeJournal article
local.bibliographicCitation.issue2013
local.bibliographicCitation.lastpage122
local.bibliographicCitation.startpage111
local.contributor.affiliationSharma, Nandita, College of Engineering and Computer Science, ANU
local.contributor.affiliationGedeon, Tamas (Tom), College of Engineering and Computer Science, ANU
local.contributor.authoremailu4306724@anu.edu.au
local.contributor.authoruidSharma, Nandita, u4306724
local.contributor.authoruidGedeon, Tamas (Tom), u4088783
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor080602 - Computer-Human Interaction
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4334215xPUB1285
local.identifier.citationvolume7818
local.identifier.doi10.1007/978-3-642-37453-1_10
local.identifier.scopusID2-s2.0-84893559128
local.identifier.uidSubmittedByu4334215
local.type.statusPublished Version

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