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Dytective

August 2, 2018

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

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