DIESEL-X: A Game-Based Tool for Early Risk Detection of Dyslexia in Preschoolers

Geurts, Luc; Abeele, Vero Vanden; Celis, Véronique; Husson, Jelle; Audenaeren, Lieven Van den; Loyez, Leen; Goeleven, Ann; Wouters, Jan; Ghesquière, Pol

doi:10.1007/978-3-319-20276-1_7

Cited by 22 publications

(20 citation statements)

References 46 publications

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“…They trained the model with 100 participants and produces 83% accuracy in prediction of dyslexia. Geurts et al [5] developed a tool to predict the possible chance of dyslexia among children, the tool is termed as DIESEL-X. This tool comprised of three different mining games which assist to measure the indicators of dyslexia.…”

Section: Related Workmentioning

confidence: 99%

Whale Behavior based Rule Optimization on Paraconsistent Neutrosophic Classification Model for Prediction of Dyslexia

Zeema¹,

Christopher²

2019

IJRTE

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With the advancement in the software field, diagnosing dyslexia in earlier stages among children is highly possible. It helps them to take necessary measures to rise above the problem. This paper intends to develop an uncertainty handling model using neutrosophic logic inference system. This system’s functionality is enhanced by introducing paraconsistent logic with whale behavior based optimization. Paraconsistent logic is used to discover the degree of certainty and contradiction of generated rules. Pruning the population of rules is handled by a nature inspire algorithm known as whale behavior based rule optimization. Dyslexia dataset consists of both vague and crisp values. Treating them as such will often lead to high false alarms in the detection process. To overcome this issue the neutrosophic model is used to denote them in terms of membership degree of truthiness, indeterminacy, and falsity. The paraconsistent analyzer works with the favorable and unfavorable degree of evidence of each rule to handle the inconsistency and uncertainty among dyslexia detection. The potential rules are selected by the encircle prey model of the whale optimization algorithm. The simulation results proved that the performance of the proposed model produces high detection rate in the detection of dyslexia.

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Section: Related Workmentioning

confidence: 99%

Whale Behavior based Rule Optimization on Paraconsistent Neutrosophic Classification Model for Prediction of Dyslexia

Zeema¹,

Christopher²

2019

IJRTE

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“…Audenaeren et al present a tool called DIESEL-X [7] which intends to predict the possibility of a child having dyslexia. The tool includes three mini-games to measure dyslexia related indicators (e.g., 'letter knowledge, FM detection, end-phoneme recognition' [7]).…”

Section: Related Workmentioning

confidence: 99%

“…The tool includes three mini-games to measure dyslexia related indicators (e.g., 'letter knowledge, FM detection, end-phoneme recognition' [7]). An example task is that the child is asked to find a certain letter in the game.…”

Section: Related Workmentioning

confidence: 99%

Towards Language Independent Detection of Dyslexia with a Web-based Game

Rauschenberger

Rello

Baeza-Yates

et al. 2018

Proceedings of the 15th International Web for All Conference

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Detecting dyslexia is important because early intervention is key to avoid the negative effects of dyslexia such as school failure. Most of the current approaches to detect dyslexia require expensive personnel (i.e. psychologists) or special hardware (i.e. eye trackers or MRI machines). Also, most of the methods can only be used when children are learning how to read but not before, necessarily delaying needed early intervention. In this work, we present a study with 178 participants speaking different languages (Spanish, German, English, and Catalan) with and without dyslexia using a web-based game built with musical and visual elements that are language independent. The study reveals eighth game measures with significant differences for Spanish children with and without dyslexia, which could be used in future work as a basis for language independent detection. A webbased application like this could have a major impact on children all over the world by easily screening them and suggest the help they need.

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“…The resulting game is DIESEL-X. It consists of three mini-games that are described in [12,20]. One mini-game specifically intends to measure the threshold for frequency-modulation detection and is the focus of this paper.…”

Section: Dyslexia and Psychoacousticsmentioning

confidence: 99%

“…Over the course of 18 months (October 2011 -March 2013) and via a player-centered design process [49], we developed such an 'enhanced' computer game. We observed and interviewed preschoolers with respect to their most preferred games [20] by means of a diary study. We conducted a laddering study to unveil the gameplay preferences of preschoolers [12] on reward structures, input mechanisms, character creation... We involved preschoolers in the selection of the theme and narrative via focus groups.…”

Section: Diesel-x: a Better Game?mentioning

confidence: 99%

Game-based Assessment of Psycho-acoustic Thresholds

Abeele

Wouters

Ghesquière

et al. 2015

Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play

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This paper first presents a critical analysis of an existing game (APEX), designed by researchers in psychoacoustics only, to measure psychoacoustic thresholds in preschoolers. Next it presents another game (DIESEL-X), designed by dyslexia researchers and game designers, to remediate the shortcomings of the former game. Via a repeated measures experiment (n = 95), the game experience, attention, and psychoacoustic thresholds are compared. It is shown that the children prefer the game experience of DIESEL-X over APEX. Moreover, the former game was able to measure lower frequency-modulation thresholds than APEX. These results demonstrate that when it comes down to game-based assessment of children's perceptual capabilities, the quality of game design not only has an effect on game experience, but equally on the scientific measurements obtained via such a game-based assessment.

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DIESEL-X: A Game-Based Tool for Early Risk Detection of Dyslexia in Preschoolers

Cited by 22 publications

References 46 publications

Whale Behavior based Rule Optimization on Paraconsistent Neutrosophic Classification Model for Prediction of Dyslexia

Whale Behavior based Rule Optimization on Paraconsistent Neutrosophic Classification Model for Prediction of Dyslexia

Towards Language Independent Detection of Dyslexia with a Web-based Game

Game-based Assessment of Psycho-acoustic Thresholds

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