Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.3390/s22020621
Recent years have witnessed the proliferation of social robots in various domains including special education. However, specialized tools to assess their effect on human behavior, as well as to holistically design social robot applications, are often missing. In response, this work presents novel tools for analysis of human behavior data regarding robot-assisted special education. The objectives include, first, an understanding of human behavior in response to an array of robot actions and, second, an improved intervention design based on suitable mathematical instruments. To achieve these objectives, Lattice Computing (LC) models in conjunction with machine learning techniques have been employed to construct a representation of a child’s behavioral state. Using data collected during real-world robot-assisted interventions with children diagnosed with Autism Spectrum Disorder (ASD) and the aforementioned behavioral state representation, time series of behavioral states were constructed. The paper then investigates the causal relationship between specific robot actions and the observed child behavioral states in order to determine how the different interaction modalities of the social robot affected the child’s behavior.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s22020621
- https://www.mdpi.com/1424-8220/22/2/621/pdf?version=1642396447
- OA Status
- gold
- Cited By
- 10
- References
- 44
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4205558609
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4205558609Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s22020621Digital Object Identifier
- Title
-
Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing TechniquesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-14Full publication date if available
- Authors
-
Chris Lytridis, Vassilis G. Kaburlasos, Christos Bazinas, George A. Papakostas, George Sidiropoulos, Vasiliki-Aliki Nikopoulou, Vasiliki Holeva, Maria Papadopoulou, Athanasios EvangeliouList of authors in order
- Landing page
-
https://doi.org/10.3390/s22020621Publisher landing page
- PDF URL
-
https://www.mdpi.com/1424-8220/22/2/621/pdf?version=1642396447Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/22/2/621/pdf?version=1642396447Direct OA link when available
- Concepts
-
Autism spectrum disorder, Robot, Psychological intervention, Human–computer interaction, Computer science, Behavioral modeling, Autism, Modalities, Psychology, Artificial intelligence, Social robot, Cognitive psychology, Mobile robot, Developmental psychology, Robot control, Sociology, Social science, PsychiatryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 3, 2023: 3, 2022: 3Per-year citation counts (last 5 years)
- References (count)
-
44Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5069693309 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I183898223 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.6200000047683716 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.84184834 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |