{"id":2568,"date":"2013-11-20T12:37:03","date_gmt":"2013-11-20T12:37:03","guid":{"rendered":"http:\/\/www.physiologicalcomputing.net\/?p=2568"},"modified":"2021-12-22T20:20:31","modified_gmt":"2021-12-22T20:20:31","slug":"call-for-papers-physiological-computing-for-intelligent-adaptation-a-special-issue-of-interacting-with-computers","status":"publish","type":"post","link":"http:\/\/www.physiologicalcomputing.net\/?p=2568","title":{"rendered":"Call for Papers &#8211; Physiological Computing for Intelligent Adaptation: A Special Issue of Interacting with Computers"},"content":{"rendered":"<p><strong>Special Issue Editors<\/strong><\/p>\n<ul>\n<li>Hugo Gamboa (Universidade Nova de Lisboa, Portugal)<\/li>\n<li>Hugo Pl\u00e1cido da Silva (IT \u2013 Institute of Telecommunications, Portugal)<\/li>\n<li>Kiel Gilleade (Liverpool John Moores University, United Kingdom)<\/li>\n<li>Sergi Berm\u00fadez i Badia (Universidade da Madeira, Portugal)<\/li>\n<li>Stephen Fairclough (Liverpool John Moores University, United Kingdom)<\/li>\n<\/ul>\n<p>Contact: <span style=\"text-decoration: underline;\"><a href=\"mailto:s.fairclough@ljmu.ac.uk\">s.fairclough@ljmu.ac.uk<\/a><\/span><\/p>\n<p><strong>Deadline for Submissions:\u00a0 <\/strong>30 June 2014<\/p>\n<p>Physiological data provides a wealth of information about the behavioural state of the user. These data can provide important contextual information by allowing the system to draw inferences with respect to the affective, cognitive and physical state of a person. In a computerised system this information can be used as an input control to drive system adaptation. For example, a videogame can use psychophysiological inferences of the player\u2019s level of mental workload during play to adjust game difficulty in real-time.<\/p>\n<p><!--more--><\/p>\n<p>A basic physiological computer system will simply reflect changes in the physiological data in its system adaptations. More advanced systems would use their knowledge of the individual user and the context in which changes are occurring in order to \u201cintelligently\u201d adapt the system at the most appropriate time with the most appropriate intervention.<\/p>\n<p>In this special issue we call for the submission of cutting edge research work relating to the creation, facilitation of and issues involved in intelligent adaptive physiological computing systems (PCS). The focus of this special issue is on Physiological Computing for Intelligent Adaptation, and within this the scope includes but is not limited to:<\/p>\n<p>Applications of intelligent adaptation in PCS<\/p>\n<ul>\n<li>Mobile and embedded systems for intelligent adaptation in PCS<\/li>\n<li>Adaptive user interfaces driven by physiological computing<\/li>\n<li>Assistive technologies mediated by physiological computing<\/li>\n<li>Pervasive technologies for physiological computing<\/li>\n<li>Affective interfaces<\/li>\n<li>Context aware interfaces<\/li>\n<li>The user experience of intelligent adaptive PCS<\/li>\n<li>Ethics of intelligent adaptation in PCS<\/li>\n<\/ul>\n<p>All contributions will be rigorously peer reviewed to the usual exacting standards of IwC. Further information, including submission procedures and advice on formatting and preparing your manuscript, can be found at: <span style=\"text-decoration: underline;\"><a href=\"http:\/\/iwc.oxfordjournals.org\/\">http:\/\/iwc.oxfordjournals.org\/<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Special Issue Editors Hugo Gamboa (Universidade Nova de Lisboa, Portugal) Hugo Pl\u00e1cido da Silva (IT \u2013 Institute of Telecommunications, Portugal) Kiel Gilleade (Liverpool John Moores University, United Kingdom) Sergi Berm\u00fadez i Badia (Universidade da Madeira, Portugal) Stephen Fairclough (Liverpool John Moores University, United Kingdom) Contact: s.fairclough@ljmu.ac.uk Deadline for Submissions:\u00a0 30 June 2014 Physiological data provides [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spay_email":""},"categories":[6],"tags":[26,157],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/pY315-Fq","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"http:\/\/www.physiologicalcomputing.net\/index.php?rest_route=\/wp\/v2\/posts\/2568"}],"collection":[{"href":"http:\/\/www.physiologicalcomputing.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.physiologicalcomputing.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.physiologicalcomputing.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.physiologicalcomputing.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2568"}],"version-history":[{"count":3,"href":"http:\/\/www.physiologicalcomputing.net\/index.php?rest_route=\/wp\/v2\/posts\/2568\/revisions"}],"predecessor-version":[{"id":2571,"href":"http:\/\/www.physiologicalcomputing.net\/index.php?rest_route=\/wp\/v2\/posts\/2568\/revisions\/2571"}],"wp:attachment":[{"href":"http:\/\/www.physiologicalcomputing.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2568"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.physiologicalcomputing.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2568"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.physiologicalcomputing.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2568"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}