About
Dytective is a web-based game that detects the risk of having dyslexia.
Research Areas
Design; AI; Accessibility.
My Involvement
I designed and built the Dytective game with 18 different levels using HTML and Javascript.
I set up a server running PHP and MySQL database to store data and export it for analysis to classify users performance patterns consistent with those of people with dyslexia.
Affiliation
Carnegie Mellon University.
Awards
2016 UAE AI and Robotics for good Competition: Semi-Finalist (7th out of 664 international submissions)
ASSETS 2015: Best demo award.
Publications
Luz Rello; Kristin Williams; Abdullah Ali; Nancy Cushen; Jeffrey P. Bigham. “Towards a Multilingual Dyslexia Detection using Online Games (Communication paper)” W4A 2016
Luz Rello, Enrique Romero, Maria Rauschenberger, Abdullah Ali, Kristin Williams, Jeffrey P. Bigham, Nancy Cushen White. “Screening Dyslexia for English Using HCI Measures and Machine Learning”. ACM Digital Health 2018
Rello, L., Ali, A., Bigham, J.P., “Dytective: Toward a Game to Detect Dyslexia” ACM ASSETS 2015 (Best demo award)
Press Mentions
Find out if you are at risk of dyslexia in 15 minutes http://elpais.com/elpais/2015/12/30/ciencia/1451479191_791338.html?id_externo_rsoc=FB_CM
CMU Researchers Earn Honors at ASSETS http://hcii.cmu.edu/news/2015/cmu-researchers-earn-honors-assets
Change Dyslexia: Early Detection and Intervention At large Scale http://research.microsoft.com/apps/video/default.aspx?id=257604
Change Dyslexia and the Dytective project on the news in Spain. https://www.youtube.com/watch?v=z-nYkylqxmo
