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Related Concept Videos

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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
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Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
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Related Experiment Video

Updated: Aug 30, 2025

Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
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Extending Robot Therapy for Children with Autism Using Mobile and Web Application.

Bojan Ilijoski1, Nevena Ackovska1, Tatjana Zorcec2

  • 1Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, 1000 Skopje, North Macedonia.

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Web and mobile robot therapy applications enhance autism treatment accessibility and personalization. This approach overcomes resource limitations, improving patient outcomes and treatment flexibility for faster progress.

Keywords:
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Area of Science:

  • Robotics in healthcare
  • Human-computer interaction
  • Developmental psychology

Background:

  • Robot therapy shows promise for children with autism spectrum disorder (ASD).
  • Traditional robot therapy faces limitations due to resource constraints (equipment, staff).
  • Limited accessibility and personalization hinder widespread adoption of robot-assisted interventions.

Purpose of the Study:

  • To extend robot therapy for autism using a web and mobile application.
  • To enhance the availability and personalization of robot-assisted interventions.
  • To investigate the impact of this approach on children with autism.

Main Methods:

  • Development of a web and mobile application to deliver robot therapy.
  • Implementation of personalized therapy modules through the application.
  • Assessment of the application's usability and effectiveness with study participants.

Main Results:

  • The application significantly increased the availability and personalization of robot therapy.
  • A majority of respondents reported improvements in their condition using the application.
  • The approach demonstrated increased flexibility and accessibility, leading to more rapid patient progress.

Conclusions:

  • Extending robot therapy via web and mobile applications is a viable solution to resource limitations.
  • This approach enhances treatment accessibility, personalization, and patient outcomes for children with autism.
  • The generalized approach holds potential for other therapeutic areas requiring similar interventions.