Title |
Facing the challenge of teaching emotions to individuals with low- and high-functioning autism using a new Serious game: a pilot study
|
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Published in |
Molecular Autism, July 2014
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DOI | 10.1186/2040-2392-5-37 |
Pubmed ID | |
Authors |
Sylvie Serret, Stephanie Hun, Galina Iakimova, Jose Lozada, Margarita Anastassova, Andreia Santos, Stephanie Vesperini, Florence Askenazy |
Abstract |
It is widely accepted that emotion processing difficulties are involved in Autism Spectrum Conditions (ASC). An increasing number of studies have focused on the development of training programs and have shown promising results. However, most of these programs are appropriate for individuals with high-functioning ASC (HFA) but exclude individuals with low-functioning ASC (LFA). We have developed a computer-based game called JeStiMulE based on logical skills to teach emotions to individuals with ASC, independently of their age, intellectual, verbal and academic level. The aim of the present study was to verify the usability of JeStiMulE (which is its adaptability, effectiveness and efficiency) on a heterogeneous ASC group. We hypothesized that after JeStiMulE training, a performance improvement would be found in emotion recognition tasks. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 2 | <1% |
Germany | 1 | <1% |
Netherlands | 1 | <1% |
France | 1 | <1% |
United Kingdom | 1 | <1% |
Mexico | 1 | <1% |
Spain | 1 | <1% |
Unknown | 262 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 38 | 14% |
Student > Master | 37 | 14% |
Student > Bachelor | 32 | 12% |
Researcher | 23 | 9% |
Student > Doctoral Student | 23 | 9% |
Other | 50 | 19% |
Unknown | 67 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 63 | 23% |
Computer Science | 41 | 15% |
Social Sciences | 20 | 7% |
Medicine and Dentistry | 14 | 5% |
Engineering | 8 | 3% |
Other | 42 | 16% |
Unknown | 82 | 30% |