The effectiveness of using auto organizational menu to communicate with classmates - A case study of autism spectrum disorders

Chien Hsu Chen, Chuan Po Wang, Chun Chin Su

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We designed an auto organizational menu (AOM) to help children with autism spectrum disorders (ASDs) improve their operational communication ability and make it easier for them to ask for help. A speech-generating device (SGD) with a variety of AOM designs was tested on four children with ASD, and their improvements were assessed to compare the effects of the AOM intervention strategy. A multiple baseline design and withdrawal design were used. The assessment items included: (1) the rate of correct answers for operational communication; (2) the accuracy rate of asking for help; (3) the degree of independent completion. The proposed AOM intervention effectively increased the participants' desire to communicate with others and the accuracy rate of asking for help, improved their involvement in communication, distance, and continuity. The proposed AOM helps children with ASD build sentences by themselves, helps them organize communication with their peers, and helps them ask requesting for help.

Original languageEnglish
Title of host publicationProceedings of 2017 6th International Conference on Software and Computer Applications, ICSCA 2017
PublisherAssociation for Computing Machinery
Pages304-309
Number of pages6
ISBN (Electronic)9781450348577
DOIs
Publication statusPublished - 2017 Feb 26
Event6th International Conference on Software and Computer Applications, ICSCA 2017 - Bangkok, Thailand
Duration: 2017 Feb 262017 Feb 28

Publication series

NameACM International Conference Proceeding Series

Other

Other6th International Conference on Software and Computer Applications, ICSCA 2017
CountryThailand
CityBangkok
Period17-02-2617-02-28

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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