News from the ACM Special Interest Group on Accessible Computing
News from the ACM Special Interest Group on Accessible Computing
This issue highlights the ACM ASSETS 2013 Conference. The first article written by Dr. Richard Ladner and Dr. Clayton Lewis provides an overview of the conference. A report on the first ASSETS captioning challenge was contributed by Dr. Raja Kushalnagar. The remaining ten articles highlight the research work of the students who attended the ASSETS 2013 doctoral consortium.
User Interface of a Home Page Reader
Improving Public Transit Accessibility for Blind Riders by Crowdsourcing Bus Stop Landmark Locations with Google Street View
The first article in this issue presents recent research by Cynthia Putnam and Jinghui Cheng that helps therapists make more informed decisions when choosing commercial motion games to assist rehabilitation. The second article by John Schoeberlein and Yuanqiong Wang discusses a collaborative writing application for blind users. The third article by Jesica Rivero-Espinosaa, Andrés Iglesias-Péreza, Jose Antonio Gutiérrez-Dueñasa, and Xavier Rafael-Paloub discribes an AAL architecture to provide active aging services for senior users.
Deadline for nominations: August 1, 2013 Notification of Selection: September 1, 2013 This award recognizes a conference paper presented at the ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) that has had a significant impact on computing and information technology that addresses the needs of persons with disabilities. Technical papers presented at the ASSETS 2002 conference, or any earlier ASSETS conference are eligible. The award will recognize work that presents a significant innovation or contribution …
This issue also includes a call for participation for ASSETS 2013 in Bellevue, Washington.
The eight articles included in this issue report the research work of the students who attended the ASSETS 2012 doctoral consortium. An overview of the doctoral consortium was written by Jeffrey Bigham, chair of the successful event.
iSCAN: A Phoneme-based Predictive Communication Aid for Nonspeaking Individuals
Awarded for outstanding achievements in improving access to education and employment through technology