Using mobile technology to reduce engagement in stereotypy : a validation of decision-making algorithms
| Autor: | Catherine McHugh, Isabelle Préfontaine, Emeline McDuff, Marc J. Lanovaz, Jennifer L. Cook |
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| Přispěvatelé: | Université de Montréal. Faculté des arts et des sciences. École de psychoéducation |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Parents
050103 clinical psychology Technology Autism Spectrum Disorder Noncontingent access Autism Decision Making Psychological intervention Stereotypic Movement Disorder Motor behavior Arts and Humanities (miscellaneous) Behavior Therapy Pregnancy Developmental and Educational Psychology medicine Humans 0501 psychology and cognitive sciences Mobile technology Child Ontario 05 social sciences 050301 education Differential reinforcement medicine.disease Mobile Applications Test (assessment) Clinical Psychology Stereotypy (non-human) Treatment Outcome Child Preschool Female Stereotypy Stereotyped Behavior Psychology 0503 education Algorithm Algorithms |
| DOI: | 10.1177/0145445517748560 |
| Popis: | We developed an iOS app, the iSTIM, designed to support parents of children with autism spectrum disorders (ASD) in reducing common repetitive vocal and motor behavior (i.e., stereotypy). The purpose of our study was to preliminarily test the decision-making algorithms of the iSTIM using trained university students to implement the assessments and interventions. Specifically, we examined the effects of the iSTIM on stereotypy and functional engagement in 11 children with ASD within alternating treatment designs. Using the iSTIM reduced engagement in stereotypy for eight participants and increased functional engagement for four of those participants. Our results indicate that the iSTIM may decrease engagement in stereotypy but that some of the decision-making algorithms may benefit from modifications prior to testing with parents. |
| Databáze: | OpenAIRE |
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