Data Quality as a Bottleneck in Developing a Social-Serious-Game-Based Multi-modal System for Early Screening for 'High Functioning' Cases of Autism Spectrum Condition

@inproceedings{Gyori2016DataQA,
  title={Data Quality as a Bottleneck in Developing a Social-Serious-Game-Based Multi-modal System for Early Screening for 'High Functioning' Cases of Autism Spectrum Condition},
  author={Miklos Gyori and Zs{\'o}fia Borsos and Krisztina Stefanik and Judit Cs{\'a}kv{\'a}ri},
  booktitle={ICCHP},
  year={2016}
}
Our aim is to explore raw data quality in the first evaluation of the first fully playable prototype of a social-serious-game-based, multi-modal, interactive software system for screening for high functioning cases of autism spectrum condition at kindergarten age. Data were collected from 10 high functioning children with autism spectrum condition and 10 typically developing children. Mouse and eye-tracking data, and data from automated emotional facial expression recognition were analyzed… 

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References

SHOWING 1-10 OF 19 REFERENCES

Evidence-based development and first usability testing of a social serious game based multi-modal system for early screening for atypical socio-cognitive development

TLDR
The research and development project in the focus of this paper is aimed at designing, creating and evaluating a social serious game based multi-modal, interactive software system for screening for high functioning cases of ASD at kindergarten age.

Web-based training in early autism screening: results from a pilot study.

TLDR
Results support Web-based training of the Screening Tool for Autism in Toddlers and Young Children (STAT) as a promising method for promoting early identification of autism and may help overcome problems associated with the critical shortage of autism-screening professionals.

Eye tracking young children with autism.

TLDR
This protocol details methodological considerations for optimizing research design, data acquisition and psychometric analysis while eye-tracking young children with ASD and offers guidelines for best practices based upon lessons derived from the authors' own work.

An investigation of the ‘female camouflage effect’ in autism using a computerized ADOS-2 and a test of sex/gender differences

TLDR
A new technique that allows automated coding of non-verbal mode of communication (gestures) and offers the possibility of objective, evaluation of gestures, independent of human judgment is described.

Use of machine learning to shorten observation-based screening and diagnosis of autism

TLDR
Results from this study may prove valuable in the development of mobile tools for preliminary evaluation and clinical prioritization—in particular those focused on assessment of short home videos of children—that speed the pace of initial evaluation and broaden the reach to a significantly larger percentage of the population at risk.

The Design, Development, and Deployment of RoboParrot for Screening Autistic Children

TLDR
The design, development, and application of a parrot-like robot as a screening tool to diagnose autistic children and there are significant differences between autistic and normal children pertaining to their communication with the robot, repetitive behaviors and sustaining attention.

Applicability of standard eye-tracking technique in people with intellectual disability: methodological conclusions from a series of studies

TLDR
Analysis of data from 4 studies suggests that there are specific difficulties in using eye-tracking in people with ID, showing considerable individual variability but depending also on the nature of the actual task.

Screening for autism spectrum disorders: state of the art in Europe

TLDR
Differences among findings across studies have enabled us to identify ten factors that may influence screening results, and this analysis might facilitate the choice of a screening method that best fits a specific scenario, and may eventually improve early ASD detection procedures.

Intensive Early Intervention

TLDR
Researchers have shown that 50–80% of children with autism have intellectual disabilities (Baird et al., 2006; Fombonne, 1999) and that the majority will require professional care throughout their lives.