Sensor-Based Technology for Social Information Processing in Autism: A Review
The prevalence of autism spectrum disorders (ASD) has increased strongly over the past decades, and so has the demand for adequate behavioral assessment and support for persons affected by ASD. Here we provide a review on original research that used sensor technology for an objective assessment of s...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-11-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/19/21/4787 |
| _version_ | 1811302394871414784 |
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| author | Andrea E. Kowallik Stefan R. Schweinberger |
| author_facet | Andrea E. Kowallik Stefan R. Schweinberger |
| author_sort | Andrea E. Kowallik |
| collection | DOAJ |
| description | The prevalence of autism spectrum disorders (ASD) has increased strongly over the past decades, and so has the demand for adequate behavioral assessment and support for persons affected by ASD. Here we provide a review on original research that used sensor technology for an objective assessment of social behavior, either with the aim to assist the assessment of autism or with the aim to use this technology for intervention and support of people with autism. Considering rapid technological progress, we focus (1) on studies published within the last 10 years (2009−2019), (2) on contact- and irritation-free sensor technology that does not constrain natural movement and interaction, and (3) on sensory input from the face, the voice, or body movements. We conclude that sensor technology has already demonstrated its great potential for improving both behavioral assessment and interventions in autism spectrum disorders. We also discuss selected examples for recent theoretical questions related to the understanding of psychological changes and potentials in autism. In addition to its applied potential, we argue that sensor technology—when implemented by appropriate interdisciplinary teams—may even contribute to such theoretical issues in understanding autism. |
| first_indexed | 2024-04-13T07:27:23Z |
| format | Article |
| id | doaj.art-cefa652a3a054b51bf4fd10d2739d288 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:27:23Z |
| publishDate | 2019-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-cefa652a3a054b51bf4fd10d2739d2882022-12-22T02:56:27ZengMDPI AGSensors1424-82202019-11-011921478710.3390/s19214787s19214787Sensor-Based Technology for Social Information Processing in Autism: A ReviewAndrea E. Kowallik0Stefan R. Schweinberger1Early Support and Counselling Center Jena, Herbert Feuchte Stiftungsverbund, 07743 Jena, GermanyEarly Support and Counselling Center Jena, Herbert Feuchte Stiftungsverbund, 07743 Jena, GermanyThe prevalence of autism spectrum disorders (ASD) has increased strongly over the past decades, and so has the demand for adequate behavioral assessment and support for persons affected by ASD. Here we provide a review on original research that used sensor technology for an objective assessment of social behavior, either with the aim to assist the assessment of autism or with the aim to use this technology for intervention and support of people with autism. Considering rapid technological progress, we focus (1) on studies published within the last 10 years (2009−2019), (2) on contact- and irritation-free sensor technology that does not constrain natural movement and interaction, and (3) on sensory input from the face, the voice, or body movements. We conclude that sensor technology has already demonstrated its great potential for improving both behavioral assessment and interventions in autism spectrum disorders. We also discuss selected examples for recent theoretical questions related to the understanding of psychological changes and potentials in autism. In addition to its applied potential, we argue that sensor technology—when implemented by appropriate interdisciplinary teams—may even contribute to such theoretical issues in understanding autism.https://www.mdpi.com/1424-8220/19/21/4787automatic recognitionfacevoicebody motionautism spectrum disorder (asd)assessmentintervention |
| spellingShingle | Andrea E. Kowallik Stefan R. Schweinberger Sensor-Based Technology for Social Information Processing in Autism: A Review Sensors automatic recognition face voice body motion autism spectrum disorder (asd) assessment intervention |
| title | Sensor-Based Technology for Social Information Processing in Autism: A Review |
| title_full | Sensor-Based Technology for Social Information Processing in Autism: A Review |
| title_fullStr | Sensor-Based Technology for Social Information Processing in Autism: A Review |
| title_full_unstemmed | Sensor-Based Technology for Social Information Processing in Autism: A Review |
| title_short | Sensor-Based Technology for Social Information Processing in Autism: A Review |
| title_sort | sensor based technology for social information processing in autism a review |
| topic | automatic recognition face voice body motion autism spectrum disorder (asd) assessment intervention |
| url | https://www.mdpi.com/1424-8220/19/21/4787 |
| work_keys_str_mv | AT andreaekowallik sensorbasedtechnologyforsocialinformationprocessinginautismareview AT stefanrschweinberger sensorbasedtechnologyforsocialinformationprocessinginautismareview |