Dieses Jahr feiert der Helene-Lange-Preis seine Neuauflage und Dr. Maria Rauschenberger mit Ihre Promotion “Early screening of dyslexia using a language-independent content game and machine learning” ist unter den drei Nominierten! Die Verleihung findet am 1. April im Edith-Russ-Haus für Medienkunst statt.
Der Helene-Lange-Preis richtet sich an junge (Nachwuchs-) Wissenschaftlerinnen, die sich auf besonders innovative und kreative Art und Weise mit alltagsrelevanten Aspekten der Digitalisierung befassen und die Vision haben, die Wissenschaft, Wirtschaft sowie gesellschaftliche Veränderungsprozesse in der Gegenwart und in Zukunft aktiv mitzugestalten. (15.000 Euro dotiert)
We made a huge effort and collected, clustered, and compared different applications for dyslexia for intervention, screening but also for assisted Reading or Writing. We present the result in our chapter “Technologies for Dyslexia” available in the book Web Accessibility.
Our chapter includes past, current, and future research technologies to support, intervene, or detect people with dyslexia!
The other chapters are also a great resource on Web Accessibility! If you are looking for details or a starting point for your research as well as detailed information on a specific topic like “Mathematics and Statistics”, “Multimedia Accessibility”, “Wearables”, “Mobile Web“… It is your book about recent Web Accessibility development.
With your collaboration, you would help my research immensely. The goal of our research is to contribute to the development of support tools for dyslexia in any language.
Participants play for 5-10 minutes the game DGames (see Screenshot). This game explores how children (adults) with and without dyslexia perceive musical and visual cues.
We are looking specifically for Children at the age of 7 till 12 with or without dyslexia which can easily participate in this online study. But the participants call is also open for any age. Only a computerortablet, headphones, and the Internet are needed.
The participant can speak any language as long as the parents or supervisor understands the instructions in English and can translate for the participant.
Please if you would like to participate – leave your contact details and a short description in the form and I will send you the invitation. Duration only 5 – 10 Minutes.
The data for the analysis is pseudonymized. The data will not be given to a third person. By participating in this research, you agree that Universitat Pompeu Fabra will publish the study results. This includes, for example, the results of the game or the interaction with the game. Therefore the data will be first anonymized. After that, the data will be analyzed and published. Within the possibilities, the article of the analysis for the study can be sent to you via the newsletter. Your personal information will not be published. This includes for example name or Email address.
To make a good prediction we need as many participants as possible! Participants can speak any language! Participants should be either diagnosed with dyslexia or should not show any signs of dyslexia. Please participate!
Why do I do that?
My name is Maria Rauschenberger and I was detected with dyslexia in the second grade. Since then I successfully achieved my A-Level / Highschool in 2006, graduated my Bachelor of Engineering in 2010 and graduated the Master of Science in 2015. I know how hard it is and how much effort it takes to compensate dyslexia. I know personally more people who have succeeded with dyslexia and have made a success of their lives. I want this possibility for everyone with dyslexia and therefore we need early detection. I want to create support to screen children in an easy and fun way. That’s why I am investigating possibilities with new technologies to screen children. You would really help me to achieve this goal — when you take part in my online study and play the game. Thank you.
Maria Rauschenberger is awarded wth the fem:talent Scholarship 2017 for her research on Dyslexia.
The University of Applied Science Emden/Leer has awarded for the second time promising students and Ph.D. fellows with the fem:talent Scholarship. The students have to already succeed in their field of expertise or are expected to succeed in the future. The fem:talent Scholarship provides a financial support for a year and a pool to exchange ideas and support.
Maria Rauschenberger has received the fem:talent Scholarship twice for her research on “playful and early approach to screen children with dyslexia while playing a game”. She will be continuing her work in the next year. “I am very happy to be supported from Emden for the next phase of my Ph.D. topic. This will be hopefully very helpful for children with dyslexia in the future.”
2.April. 2018 Update: After the evaluation of the first half, also the second half of the fem:talent Scholarship (from University of Applied Science Emden/Leer) has been granted.
Do you wanna support the research on Dyslexia?
The research project is looking for children between 8 and 12 years old with dyslexia and without dyslexia. Only a computer or a tablet, headphones, and Internet are needed.
Participants can be native speakers of English, Spanish or German.
Maria’s advisors are Ricardo Baeza-Yates Professor at Universitat Pompeu Fabra & CTO of NTENT and Luz Rello Special Faculty en Cargenie Mellon University & Fundadora de Change Dyslexia. Also, special thanks to Prof. Dr. Jörg Thomaschewski from the University of Applied Science for his mentoring.
With your collaboration, you would help our research immensely. The goal of our research is to contribute to the development of support tools for dyslexia in English.
Participants would have to play for 5-10 minutes the game MusVis (see Screenshot). This game explores how musical and visual elements have an impact on children with and, without dyslexia. We are looking for children between 8 and 11 years old. Only a desktop or laptop computer OR tablet, headphones, and Internet are needed.
Please if you would like to participate – leave your contact details and we contact you with the study details. Duration only 5 – 10 Minutes.
The prototype was designed with the help of five children and five parents who tested the game and the results of the usability study have been presented this year at the research conference Web for all (W4A) in Australia in April.
Title: Prediction of Dyslexia from Maria Rauschenberger from Web Research Group (WRG)
In regards to the #ESCOLA (22 February 2017) the Universitat Pompeu Fabra (UPF) welcomes the polytechnic School at the Poblenou Campus of Pompeu Fabra University.
Maria Rauschenberger presented the new prototype of MusVis to around 100 students at the ESCOLAB 2017. MusVis is a research application and aims to analyze how people with and without Dyslexia perceive music and visual elements.
Please leave your contact if you would like to participate!
Abstract: Dyslexia is a specific reading disorder, which is probably caused by the ‘phonological skills deficiencies associated with phonological coding deficits’ (Vellutino, Fletcher, Snowling, & Scanlon, 2004). A person with dyslexia has visual and auditory difficulties that cause problems in reading and writing (Deutsches Institut für Medizinische Dokumentation und Information, 2008). Dyslexia is frequent: worldwide, about 10% of the population and from 5 to 12% of the German students have dyslexia.
The problem is that children with dyslexia can learn the spelling of words or decode words for reading but they need more time to practice. For example, two years instead of one for learning how to spell phonetically accurate words (Schulte-Körne, 2010).
Therefore we will first show the power of misspellings for intervention and how a game can help children to decrease their spelling mistakes. We will present the annotation of the errors, the creation of the exercises, and the Dyseggxia application in German.
In contrast to the intervention with misspellings – linguistic features have also the power to predict the risk of dyslexia for children. Therefore the linguistic features which are implemented in the game Dytective will be presented.
Finally, we show the concept of a possible and different approach of ‘How to predict dyslexia without linguistic features’.