eprintid: 52264 rev_number: 14 eprint_status: archive userid: 1903 dir: disk0/00/05/22/64 datestamp: 2019-05-29 06:32:08 lastmod: 2019-05-29 06:32:08 status_changed: 2019-05-29 06:32:08 type: conference_item metadata_visibility: show creators_name: González Alvarán, Luis Fernando title: Combining visual and textual languages for dyslexia publisher: Association for Computing Machinery rights: by-nc-nd ispublished: unpub subjects: informatica full_text_status: public pres_type: paper keywords: Dyslexia; Computer programming; Inclusion abstract: This paper describes the research of a Software, Systems and Computing PhD thesis conducted at the Universidad Politécnica de Madrid. The aim of this research is threefold: i) design a model to promote interaction between programmers with and without dyslexia during software development as part of a team, ii) overcome the obstacles facing dyslexic programmers when they are writing a program, and iii) increase software development performance and efficiency levels when one of the programmers has symptoms of dyslexia. date_type: published date: 2017 pagerange: 4-6 event_title: International Conference on Systems, Programming, Languages, and Applications: Software for Humanity (SPLASH Companion’17) event_location: Vancouver, Canada event_dates: 22-27 Oct 2017 event_type: conference id_number: 10.1145/3135932.3135937 institution: ETSI_Informatica department: Lenguajes refereed: TRUE isbn: 978-1-4503-5514-8 book_title: Proceedings Companion of the 2017 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity, SPLASH 2017 official_url: https://dblp.org/db/conf/oopsla/splash2017c.html citation: González Alvarán, Luis Fernando (2017). Combining visual and textual languages for dyslexia. In: "International Conference on Systems, Programming, Languages, and Applications: Software for Humanity (SPLASH Companion’17)", 22-27 Oct 2017, Vancouver, Canada. ISBN 978-1-4503-5514-8. pp. 4-6. https://doi.org/10.1145/3135932.3135937 . document_url: https://oa.upm.es/52264/1/INVE_MEM_2017_282123.pdf