Updated: Feb 17, 2020


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.


Carnegie Mellon University.


  • 2016 UAE AI and Robotics for good Competition: Semi-Finalist (7th out of 664 international submissions)

  • ASSETS 2015: Best demo award.


  • 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

#Projects #All #AI #Accessibility